List of Publications
Books
  1. M. Nagahara,
    Sparsity Methods for Systems and Control,
    Now Publishers, 2020.
Books (written in Japanese)
  1. Y. Fujimoto and M. Nagahara,
    Fundamentals of Linear System Identification,
    Corona Publishing, 2021. ISBN 978-4339014037
  2. M. Nagahara, K. Okano, M. Ogura, and M. Wakaiki,
    Networked Control,
    Corona Publishing, 2019. ISBN 978-4-339-03227-7
  3. M. Kawata, S. Azuma, H. Ichikawa, T. Urakubo, T. Ohtsuka, T. Kai, S. Kunimatsu, K. Sawada, M. Nagahara, and H. Minami,
    Control Engineering Learned with Inverted Pendulums, Morikita Publishing, 2017. ISBN 978-4627792210
  4. M. Nagahara,
    Sparse Modeling,
    Corona Publishing, 2016. ISBN 978-4-339-03222-2
  5. S. Azuma, M. Nagahara, H. Ishii, N. Hayashi, K. Sakurama, and T. Hatanaka,
    Control of Multi-agent Systems, Corona Publishing, 2015. ISBN 978-4-339-03322-9
Book Chapters
  1. M. Nagahara and Y. Yamamoto,
    Sparse Representation for Sampled-data H-infinity Filters,
    Realization and Model Reduction of Dynamical Systems: A Festschrift in Honor of the 70th Birthday of Thanos Antoulas,
    pp. 427-444, Springer, doi: 10.1007/978-3-030-95157-3_23
  2. Y. Yamamoto and M. Nagahara,
    Digital Control,
    Wiley Encyclopedia of Electrical and Electronics Engineering, J. G. Webster (Ed.).
    Wiley, doi:10.1002/047134608X.W1010.pub2, Feb. 2018.
  3. K. Yamamoto, Y. Yamamoto, and M. Nagahara,
    Hypertracking Beyond the Nyquist Frequency,
    Emerging Applications of Control and Systems Theory, A Festschrift in Honor of Mathukumalli Vidyasagar,
    R. Tempo, S. Yurkovich, and P. Misra (Eds.). pp. 369-379, Springer, doi:10.1007/978-3-319-67068-3_27, 2018.
  4. M. Nagahara, K. Hamaguchi, and Y. Yamamoto,
    Active noise control with sampled-data filtered-x adaptive algorithm,
    Mathematical System Theory - Festschrift in Honor of Uwe Helmke on the Occasion of his Sixtieth Birthday, pp. 275-290,
    CreateSpace, 2013. ISBN 978-1470044008
    [PDF]
  5. M. Nagahara,
    Min-max design of FIR digital filters by semidefinite programming
    Applications of Digital Signal Processing, pp. 193-210,
    InTech, Nov. 2011. ISBN 978-953-307-406-1
    [PDF] ,
  6. M. Nagahara,
    YY filter --- a paradigm of digital signal processing
    Perspectives in Mathematical System Theory, Control, and Signal Processing, pp. 331-340,
    Springer, 2010. ISBN 978-3-540-93917-7
    [PDF]
  7. M. Nagahara,
    Sound source separation,
    Audio signal compression,
    Synthesizer,
    Digital signal processing,
    Encyclopedia of Sound, (in Japanese)
    Maruzen, 2006. ISBN 978-4621076606
  8. Y. Yamamoto and M. Nagahara,
    Digital filter design via sampled-data control theory,
    Control and Modeling of Complex Systems: Cybernetics in the 21st Century , pp. 31-43,
    Birkhauser, Dec. 2002. ISBN 978-1-4612-0023-9
Journal Articles (International Journals)
  1. M. Nagahara and Y. Yamamoto,
    A survey on compressed sensing approach to systems and control,
    (open access)
    DOI: https://doi.org/10.1007/s00498-023-00366-1
  2. M. Nagahara,
    Introduction to Compressed Sensing with Python,
    IEICE Transactions on Communications, 2023 (open access),
    DOI: 10.1587/transcom.2023EBI0002
  3. N. K. Singh, T. Fukushima, and M. Nagahara,
    Gradient Boosting Approach to Predict Energy-Saving Awareness of Households in Kitakyushu,
    Energies, vol. 16, no. 16: 5998, 2023. (open access),
    DOI: https://doi.org/10.3390/en16165998
  4. M. Kishida and M. Nagahara,
    Risk-aware maximum hands-off control using worst-case conditional value-at-risk,
    IEEE Transactions on Automatic Control, 2022 (early access)
    DOI: 10.1109/TAC.2023.3235246
  5. K. Yamamoto, Y. Yamamoto, and M. Nagahara,
    Hypertracking and hyperrejection: Control of signals beyond the Nyquist frequency,
    IEEE Transactions on Automatic Control, 2022 (early access)
    DOI: 10.1109/TAC.2022.3230599
  6. M. Nagahara,
    Sparse control for continuous-time systems,
    International Journal of Robust and Nonlinear Control, Volume 33, Issue 1, pp. 6-22, Jan 2023 (open access),
    DOI: 10.1002/rnc.5858,
    MATLAB codes
  7. M. Nagahara, Y. Iwai, and N. Sebe,
    Projection onto the set of rank-constrained structured matrices for reduced-order controller design,
    Algorithms, 15(9), 322, 2022
    DOI: 10.3390/a15090322 (open access)
  8. X. Dai and M. Nagahara,
    Platooning control of drones with real-time deep learning object detection,
    Advanced Robotics, 2022
    DOI: 10.1080/01691864.2022.2119888 (open access)
  9. K. Cai and M. Nagahara,
    A new perspective on cooperative control of multi-agent systems through different types of graph Laplacians,
    Advanced Robotics, 2022
    DOI: 10.1080/01691864.2022.2093616
  10. N. Hayashi and M. Nagahara,
    Distributed sparse optimization for source localization over diffusion fields with cooperative spatiotemporal sensing,
    Advanced Robotics, 2022
    DOI: 10.1080/01691864.2022.2099764
  11. Y. Fujimoto, H. Sato, and M. Nagahara,
    Controller tuning with Bayesian optimization and its acceleration: Concept and experimental validation,
    Asian Journal of Control, 2022 (open access)
    DOI: 10.1002/asjc.2847
  12. K. Motonaka, T. Watanabe, Y. Kwon, M. Nagahara, and S. Miyoshi,
    Control of a quadrotor group based on maximum hands-off distributed control,
    International Journal of Mechatronics and Automation, vol. 8, no. 4, 2021 (open access),
    DOI: 10.1504/IJMA.2021.120377
  13. M. S. Darup, G. Book, D. E. Quevedo, and M. Nagahara,
    Fast hands-off control using ADMM real-time iterations,
    IEEE Transactions on Automatic Control, vol. 67, no. 10, pp. 5416-5423, Oct. 2022.
    DOI: 10.1109/TAC.2021.3121255
  14. T. Ikeda and M. Nagahara,
    Resource-aware time-optimal control with multiple sparsity measures,
    Automatica, Volume 135, 109957, January 2022.
    DOI: 10.1016/j.automatica.2021.109957
  15. Y. Kumar, S. Sukumar, D. Chatterjee, and M. Nagahara,
    Sparse optimal control problems with intermediate constraints: Necessary conditions,
    Optimal Control, Applications and Methods, Volume43, Issue2, pp. 369-385, March/April 2022.
    DOI: 10.1002/oca.2807
  16. T. Ikeda, M. Nagahara, D. Chatterjee, and S. Srikant,
    Constrained smoothing splines by optimal control,
    IEEE Control Systems Letters, Vol. 6, pp. 1298–1303, Jun. 2021.
    DOI: 10.1109/LCSYS.2021.3092638
  17. M. Nagahara, M. Ogura, Y. Yamamoto,
    Iterative greedy LMI for sparse control,
    IEEE Control Systems Letters, Vol. 6, pp. 986–991, Jun. 2021.
    DOI: 10.1109/LCSYS.2021.3087964
  18. M. Nagahara, B. Krishnamachari, M. Ogura, A. Ortega, Y. Tanaka, Y. Ushifusa, and T. Valente,
    Control, intervention, and behavioral economics over human social networks against COVID-19 (PDF),
    Advanced Robotics, vol. 35, no. 11, pp. 733-739, 2021
    DOI: 10.1080/01691864.2021.1928553
  19. Shun-ichi Azuma* and Masaaki Nagahara,
    Majority determination in binary-valued communication networks (open access),
    IEEE Transactions on Control of Network Systems, vol. 8, no. 2, pp. 838-846, June 2021
    DOI: 10.1109/TCNS.2020.3038839
  20. Takuya Ikeda and Masaaki Nagahara,
    Maximum hands-off control with time-space sparsity,
    IEEE Control Systems Letters, Vol. 5, No. 4, pp. 1213-1218, 2021 (accepted)
    DOI: 10.1109/LCSYS.2020.3023265
  21. Yusuke Fujimoto, Tatsuki Tokushige, and Masaaki Nagahara,
    Bayesian LPV-FIR Identification of Wheelchair Dynamics and Its Application to Feedforward Control,
    SICE Journal of Control, Measurement, and System Integration, Vol. 13, No. 4, pp. 208--213. 2020.
    DOI:10.9746/jcmsi.13.208
  22. M. Nagahara, D. Chatterjee, N. Challapalli, and M. Vidyasagar,
    CLOT norm minimization for continuous hands-off control,
    Automatica, Vol. 113, pp. 108679, 2020
    DOI: 10.1016/j.automatica.2019.108679
  23. K. Nakashima, T. Matsuda, M. Nagahara, and T. Takine,
    Multihop TDMA-based wireless networked control systems robust against bursty packet losses: a two-path approach,
    IEICE Transactions on Communications, Vol. E103-B, No. 3, pp.200-210, Mar. 2020
    DOI: 10.1587/transcom.2019EBP3110
  24. H. Sasahara, M. Nagahara, K. Hayashi, and Y. Yamamoto,
    Self-Interference Suppression based on Sampled-Data H-infinity Control for Baseband Signal Subspaces,
    SICE Journal of Control, Measurement, and System Integration, Vol. 12, No. 5, pp. 182-189, Sept 2019
    DOI: 10.9746/jcmsi.12.182
  25. T. Ikeda, M. Nagahara, and K. Kashima,
    Maximum Hands-off Distributed Control for Consensus of Multi-Agent Systems with Sampled-data State Observation,
    IEEE Transactions on Control of Network Systems
    Vol. 6, No. 2, pp. 852-862, June 2019
    DOI: 10.1109/TCNS.2018.2880296
  26. T. Ikeda and M. Nagahara,
    Time-Optimal Hands-off Control for Linear Time-Invariant Systems,
    Automatica, Vol. 99, pp. 54-58, 2019
    DOI: 10.1016/j.automatica.2018.10.004
  27. N. Hayashi and M. Nagahara,
    Distributed Proximal Minimization Algorithm for Constrained Convex Optimization over Strongly Connected Networks,
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences Vol. E102-A, No. 02, Feb. 2019.
    DOI: 10.1587/transfun.E102.A.351
  28. S. Ohno, Y. Ishihara, and M. Nagahara,
    Min-Max Design of Error Feedback Quantizers without Overloading,
    IEEE Transactions on Circuits and Systems I: Regular Papers, Vol. 65, No. 4, pp. 1395-1405, Apr. 2018 (open access)
    10.1109/TCSI.2017.2758801
  29. T. Ikeda and M. Nagahara,
    Discrete-valued Model Predictive Control using Sum-of-Absolute-Values Optimization,
    Asian Journal of Control, Vol. 20, No. 1, pp. 196-206, 2018
    10.1002/asjc.1596
  30. S. Ohno, T. Shiraki, M. R. Tariq, and M. Nagahara,
    Mean Squared Error Analysis of Quantizers with Error Feedback,
    IEEE Transactions on Signal Processing, Vol. 65, No. 22, pp. 5970-5981, Nov. 2017 (open access)
    10.1109/TSP.2017.2745450
  31. H. Sasahara, K. Hayashi, and M. Nagahara,
    Multiuser Detection based on MAP Estimation with Sum-of-Absolute-Values Relaxation,
    IEEE Transactions on Signal Processing, vol. 65, no. 21, pp. 5621-5634, Nov. 2017.
    10.1109/TSP.2017.2740164
  32. T. Ikeda, M. Nagahara, and S. Ono,
    Discrete-Valued Control of Linear Time-Invariant Systems by Sum-of-Absolute-Values Optimization,
    IEEE Transactions on Automatic Control, Vol. 62, No. 6, pp. 2750-2763, June 2017. (open access)
    10.1109/TAC.2016.2627683
  33. N. Hayashi, M. Nagahara, and Y. Yamamoto,
    Robust AC Voltage Regulation of Microgrids in Islanded Mode with Sinusoidal Internal Model,
    SICE Journal of Control, Measurement, and System Integration, Vol. 10, No. 2 p. 62-69, 2017. 10.9746/jcmsi.10.62 (PDF)
  34. H. Sasahara, K. Hayashi and M. Nagahara,
    Symbol Detection for Faster-Than-Nyquist Signaling by Sum-of-Absolute-Values Optimization,
    IEEE Signal Processing Letters, vol. 23, no. 12, pp. 1853-1857, Dec. 2016.
    10.1109/LSP.2016.2625839
  35. M. Nagahara, J. Ostergaard, D. E. Quevedo,
    Discrete-time hands-off control by sparse optimization,
    EURASIP Journal on Advances in Signal Processing, 2016:76, Dec. 2016. (PDF)
    10.1186/s13634-016-0372-9
  36. D. Chatterjee, M. Nagahara, D. E. Quevedo, and K. S. M. Rao,
    Characterization of maximum hands-off control,
    Systems & Control Letters, vol. 94, pp. 31-36, Aug. 2016.
    10.1016/j.sysconle.2016.05.002
  37. M. Nagahara and Y. Yamamoto,
    Digital repetitive controller design via sampled-data delayed signal reconstruction,
    Automatica, vol. 65, pp. 203-209, Mar. 2016
    10.1016/j.automatica.2015.11.029
  38. T. Ikeda and M. Nagahara,
    Value function in maximum hands-off control for linear systems,
    Automatica, vol. 64, pp. 190-195, Feb. 2016 (PDF)
    10.1016/j.automatica.2015.10.043
  39. M. Nagahara, D. E. Quevedo, and D. Nesic,
    Maximum Hands-off Control: A Paradigm of Control Effort Minimization,
    IEEE Transactions on Automatic Control, Vol. 61, No. 3, pp. 735-747, 2016. (PDF)
    10.1109/TAC.2015.2452831
    honored as 2018 IEEE CSS George S. Axelby Outstanding Paper Award
  40. M. Nagahara,
    Discrete Signal Reconstruction by Sum of Absolute Values,
    IEEE Signal Processing Letters, Vol. 22, no. 10, pp. 1575-1579, Oct. 2015. [PDF]
    10.1109/LSP.2015.2414932
  41. H. Sasahara, M. Nagahara, K. Hayashi, and Y. Yamamoto,
    Digital Cancelation of Self-Interference for Single-Frequency Full-Duplex Relay Stations via Sampled-Data Control,
    SICE Journal of Control, Measurement, and System Integration, Vol. 8, No. 5, pp. 321-327, 2015.
  42. M. Nagahara and C. F. Martin,
    L1 Control Theoretic Smoothing Splines,
    IEEE Signal Processing Letters, vol. 21, no. 11, pp. 1394-1397, Nov. 2014.
    [PDF]
    10.1109/LSP.2014.2337017
  43. M. Nagahara, D. E. Quevedo, and J. Ostergaard,
    Sparse Packetized Predictive Control for Networked Control over Erasure Channels,
    IEEE Transactions on Automatic Control, vol. 59, no. 7, pp. 1899-1905, July 2014.
    [PDF]
    10.1109/TAC.2013.2294622
  44. M. Nagahara and Y. Yamamoto,
    H-infinity-optimal fractional delay filters,
    IEEE Transactions on Signal Processing, Vol. 61, No. 18, pp. 4473-4480, 2013.
    [PDF]
  45. M. Nagahara and C. F. Martin,
    Monotone Smoothing Splines Using General Linear Systems,
    Asian Journal of Control, Vol. 5, No. 2, pp. 461-468, Mar. 2013.
    [PDF]
  46. K. Hayashi, M. Nagahara, and T. Tanaka,
    A User's Guide to Compressed Sensing for Communications Systems,
    invited paper, IEICE Trans. on Communications, Vol. E96-B, No. 3, pp. 685-712, Mar. 2013.
    [PDF] [SCILAB Codes]
    honored as 2014 IEICE Communications Society Best Tutorial Paper Award
  47. M. Nagahara and Y. Yamamoto,
    Frequency Domain Min-Max Optimization of Noise-Shaping Delta-Sigma Modulators,
    IEEE Transactions on Signal Processing, Vol. 60, No. 6, pp. 2828-2839, 2012.
    [PDF] [MATLAB Codes]
  48. Y. Yamamoto, M. Nagahara and P. P. Khargonekar,
    A Brief Overview of Signal Reconstruction via Sampled-Data H-infinity Optimization,
    Applied and Computational Mathematics, Vol. 11, No. 1, pp. 3-18, 2012.
    [PDF]
  49. M. Nagahara, T. Matsuda, and K. Hayashi,
    Compressive Sampling for Remote Control Systems,
    IEICE Trans. on Fundamentals, Vol. E95-A, No. 4, pp. 713-722, Apr. 2012.
    [PDF]
  50. Y. Yamamoto, M. Nagahara, and P. P. Khargonekar,
    Signal Reconstruction via H-infinity Sampled-Data Control Theory -- Beyond the Shannon Paradigm,
    IEEE Transactions on Signal Processing, Vol. 60, No. 2, pp. 613-625, Feb. 2012.
    [PDF]
  51. T. Matsuda, M. Nagahara, and K. Hayashi,
    Link quality classifier with compressed sensing based on l1-l2 optimization,
    IEEE Communications Letters, vol. 15, no. 10, pp. 1117-1119, Oct. 2011.
  52. M. Nagahara, M. Ogura, and Y. Yamamoto,
    H-infinity design of periodically nonuniform interpolation and decimation for non-band-limited signals,
    SICE Journal of Control, Measurement, and System Integration, Vol. 4, No. 5, pp. 341-348, 2011.
    [PDF]
    honored as 2012 SICE Best Paper Award
  53. M. Nagahara and Y. Yamamoto,
    H-infinity optimal approximation for causal spline interpolation,
    Signal Processing, Vol. 91, No. 2, pp. 176-184, 2011.
    [PDF]
  54. K. Kashima, Y. Yamamoto and M. Nagahara,
    Optimal wavelet expansion via sampled-data control theory,
    IEEE Signal Processing Letters, Vol. 11, Issue 2, pp. 79-82, 2004.
    [PDF]
  55. Y. Yamamoto, B. D. O. Anderson, M. Nagahara and Y. Koyanagi,
    Optimizing FIR approximation for discrete-time IIR filters,
    IEEE Signal Processing Letters, Vol. 10, Issue 9, pp. 273-276, 2003.
    [PDF]
Journal Articles (Japanese Domestic Journals)
  1. Yusuke Fujimoto, Tatsuki Tokushige, and Masaaki Nagahara,
    LPV-FIR Modeling of Wheelchair Dynamics and Its Application to Model Predictive Control,
    SICE Transactions, Vol. 57, No. 3, 2021 (in Japanese)
    DOI: 10.9746/sicetr.57.156
  2. T. Iwata, Y. Oishi, and M. Nagahara,
    Realization of sparse control using the model predictive control scheme,
    SICE Transactions, Vol. 56, No. 3, 2020 (in Japanese)
    DOI: 10.9746/sicetr.56.74
  3. S. Miyazaki, T. Kudoh, M. Nagahara, N. Hayashi, and Y. Yamamoto,
    Power Balancing Control for Energy Management Systems,
    Panasonic Technical Journal, Vol. 57, No. 4, pp. 17-22, Jan. 2012. (in Japanese)
  4. M. Nagahara, Y. Yamamoto,
    Sampled-data H-infinity design for digital communication systems,
    Transactions of ISCIE, Vol. 16, No. 1, pp. 38-43, 2003 (in Japanese)
  5. Y. Wakasa, D. Yasufuku, M. Nagahara and Y. Yamamoto,
    Sampled-data design of interpolators using the cutting-plane method,
    SICE Transactions, Vol. 38, No. 5, pp. 462-468, 2002 (in Japanese)
  6. M. Nagahara and Y. Yamamoto,
    Sampled-data H-infinity design of interpolators,
    Transactions of ISCIE, Vol. 14, No. 10, pp. 483-489, 2001 (in Japanese)
Refereed Conference Articles
  1. X. Dai and M. Nagahara,
    Real-Time Deep-Learning Object Detection for Drone Swarm,
    IFAC World Congress, 2023
  2. N. Hayashi and M. Nagahara,
    Cooperative Source Localization by Distributed Sparse Optimization,
    IFAC World Congress, 2023
  3. A. Muthyala, D. Chatterjee, and M. Nagahara,
    Control-Theoretic Splines under Uncountably Many Constraints: Fast and Exact Solutions,
    IFAC World Congress, 2023
  4. Y. Iwai and M. Nagahara,
    Network Community Detection with Sum-Of-Absolute-Values Regularization,
    IFAC World Congress, 2023
  5. T. Fukushima, N. Singh, and M. Nagahara,
    LightGBM-Based Data Analysis for Predicting Energy-Saving Awareness of Households in Kitakyushu,
    IFAC World Congress, 2023
  6. Yasuaki Oishi*, Takumi Iwata, Masaaki Nagahara,
    Generation of a Sparse Input with a Receding-Horizon Technique: Optimality in the Infinite Horizon,
    2023 SICE International Symposium on Control Systems (ISCS), 2023
  7. Yu Iwai1, Masaaki Nagahara∗, and Noboru Sebe,
    Comparative study of static stabilizing controller design by nuclear norm minimization and alternating projection,
    The 22nd International Conference on Control, Automation and Systems (ICCAS 2022), BEXCO, Busan, Korea, Nov. 27~Dec. 01, 2022
  8. M. Nagahara,
    Compressed sensing for sparse control,
    2022 SICE Annual Conference (SICE), Sept 6-9, 2022, Kumamoto, Japan, 2022.
  9. D. Nakashima, K. Sato, M. Nagahara,
    Extended autonomous flight area control of follower UAV using only the master UAV’s built–in camera,
    2022 SICE Annual Conference (SICE), Sept 6-9, 2022, Kumamoto, Japan, 2022.
  10. Masaaki Nagahara*, Yusuke Fujimoto, Yutaka Yamamoto,
    Sparse system identification with kernel regularization,
    25th International Symposium on Mathematical Theory of Networks and Systems (MTNS2022), 2022
  11. Masaaki Nagahara*, Daniel Quevedo, Moritz Schulze Darup,
    Discrete-time Hands-off Feedback Control with Real-time Optimization,
    25th International Symposium on Mathematical Theory of Networks and Systems (MTNS2022), 2022
  12. Mohsen Barforooshan, Jan Ostergaard, and Masaaki Nagahara,
    Feedback stabilization robust against communication constraints for disturbed linear plants via sparse packetized predictive control,
    IFAC ROCOND 2022, Kyoto, Aug-Sept. 2022
  13. M. Nagahara and N. Sebe,
    Reduced-order controller design via sparse optimization,
    Asian Control Conference, Jeju, Korea, May, 2022.
  14. Y. Oishi, T. Iwata, and M. Nagahara,
    Optimality and sparsity of the receding-horizon input for sparse control,
    Asian Control Conference, Jeju, Korea, May, 2022.
  15. T. Ikeda, M. Nagahara, D. Chatterjee, and S. Srikant,
    Constrained smoothing splines by optimal control,
    IEEE L-CSS presentation, 60th IEEE Conference on Decision and Control (CDC2021), Dec. 2021.
  16. M. Nagahara, M. Ogura, and Y. Yamamoto,
    Iterative greedy LMI for sparse control,
    IEEE L-CSS presentation, 60th IEEE Conference on Decision and Control (CDC2021), Dec. 2021.
  17. K. Motonaka, T. Watanabe, Y. Kwon, M. Nagahara, and S. Miyoshi,
    Application of maximum hands-off distributed control to a quadrotor group,
    IEEE International Conference on Mechatronics and Automation (IEEE ICMA 2021), Aug. 2021.
    honored as Best Paper Award in Automation in IEEE ICMA 2021
  18. M. Nagahara,
    Control and intervention over human social networks in COVID-19,
    IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO), 2021.
  19. T. Ikeda and M. Nagahara,
    Maximum hands-off control with time-space sparsity,
    IEEE L-CSS presentation, 2021 American Control Conference (ACC), 2021.
  20. Z. Zhang and M. Nagahara,
    Linear quadratic tracking control with sparsity-promoting regularization,
    2021 American Control Conference (ACC), 2021.
  21. Masaaki Nagahara*, and Dragan Nesic,
    An Approach to Minimum Attention Control by Sparse Derivative,
    59th IEEE Conference on Decision and Control (CDC2020), 2020
  22. Noboru Sakamoto*, and Masaaki Nagahara,
    The turnpike property in the maximum hands-off control,
    59th IEEE Conference on Decision and Control (CDC2020), 2020
  23. Yogesh Kumar, Sukumar Srikant*, Masaaki Nagahara, Debasish Chatterjee, and Daniel E. Quevedo,
    Maximum hands-off feedback control for finite-time stabilization,
    59th IEEE Conference on Decision and Control (CDC2020), 2020
  24. M. Nagahara, M. S. Darup, and D. Quevedo,
    Discrete-time Hands-off Feedback Control with Real-time Optimization,
    24th International Symposium on Mathematical Theory of Networks and Systems (MTNS2020; postponed)
  25. M. Nagahara,
    Mathematical properties of maximum hands-off control,
    International Conference on Control, Automation and Systems (ICCAS2020), 2020 (to be presented)
  26. Yusuke Fujimoto*, Hiroki Sato, Masaaki Nagahara,
    PID controller tuning with Bayesian optimization and its acceleration,
    2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), 2020.
  27. M. Nagahara and Y. Yamamoto,
    Sparse representation of feedback filters in delta-sigma modulators,
    2020 IFAC World Conference, Virtual Conference, Germany, 2020.
  28. K. Yamamoto, Y. Yamamoto, and M. Nagahara,
    Hypertracking: a new approach to signals beyond the Nyquist frequency -- a brief overview,
    2020 IFAC World Conference, Virtual Conference, Germany, 2020.
  29. K. Kunida and M. Nagahara,
    Application of maximum hands-off control to cellular metabolic oscillation,
    2020 IFAC World Conference, Virtual Conference, Germany, 2020.
  30. M. Kishida, M. Nagahara, and D. Chatterjee,
    Discrete-time maximum hands-off control with minimum switches,
    2019 IEEE Conference on Decision and Control (CDC), pp. 529-534, Nice, France, 11 Dec 2019.
  31. S. Azuma and M. Nagahara,
    Majority determination on binary-valued communication networks,
    2019 IEEE Conference on Decision and Control (CDC), pp. 885-889, Nice, France, 11 Dec 2019.
  32. M. Barforooshan, M. Nagahara, and J. Ostergaard,
    Sparse packetized predictive control over communication networks with packet dropouts and time delays,
    2019 IEEE Conference on Decision and Control (CDC), pp. 8272-8277, Nice, France, 13 Dec 2019.
  33. K. Nakashima, T. Matsuda, M. Nagahara, and T. Takine,
    Control Vector Selection with State Clustering for Wireless Networked Control Systems,
    IEEE 90th Vehicular Technology Conference: VTC2019-Fall, Honolulu, Hawaii, USA, pp.1-5, 22–25 September 2019. doi: 10.1109/VTCFall.2019.8891504
  34. Y. Fujimoto, T. Tokushige, M. Nagahara,
    Bayesian LPV-FIR identification of wheelchair dynamics,
    SICE Annual Conference 2019, Hiroshima, 12 Sept, pp. 1036-1039, 2019.
  35. Y. Fujimoto, F. Abe, M. Nagahara,
    Room impulse response estimation with kernel-based regularization,
    SICE Annual Conference 2019, Hiroshima, 11 Sept, pp. 528-531, 2019.
  36. S. M. Rayyan and M. Nagahara,
    State-Space Realization of Linear Time-Invariant Systems with Maximum Measure of Quality,
    12th Asian Control Conference (ASCC), pp. 1376-1379, 12 June 2019.
  37. M. Nagahara and D. Chatterjee,
    Continuity of the Combined L1-L2 Optimal Control for Linear Systems,
    5th Indian Control Conference (ICC), pp. 506-509, Delhi, Jan, 2019.
  38. Y. Yamamoto, K. Yamamoto, and M. Nagahara,
    Sampled-data Filters with Compactly Supported Acquisition Prefilters,
    2018 IEEE Conference on Decision and Control (CDC), pp. 6650-6655, Miami Beach, 19 Dec 2018.
  39. M. Kishida*, M. Barforooshan, and M. Nagahara,
    Maximum Hands-Off Control for Discrete-time Linear Systems Subject to Polytopic Uncertainties,
    Conference: 7th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys2018), pp. 355-360, Groningen, Aug. 2018.
  40. K. Fujimoto, J. Muramatsu, and M. nagahara,
    Dynamical Model of Overconfidence Phenomena Due to ZE-type Confirmation Bias,,
    IEEE International Conference on Systems, Man, and Cybernetics (SMC2018), 7-10 Oct 2018.
  41. M. Nagahara and D. Chatterjee,
    Optimal Control with Sparsity Constraints in the Frequency Domain,
    SICE Annual Conference, pp. 398-400, Nara, 12 Sept, 2018.
  42. N. Hayashi and M. Nagahara,
    Consensus-Based Distributed Event-Triggered Sparse Modeling,
    SICE Annual Conference, pp. 1801-1805, Nara, 14 Sept, 2018.
  43. Keisuke Nakashima, Takahiro Matsuda, Masaaki Nagahara, and Tetsuya Takine,
    Control Vector Selection with Delay Estimation in Wireless Networked Control Systems,
    IEEE International Conference on Consumer Electronics (Taichung), pp. 81-82, 19-21 May 2018.
  44. Kaoru Yamamoto, Masaaki Nagahara, Yutaka Yamamoto,
    Signal Reconstruction with Generalized Sampling,
    56th IEEE Conference on Decision and Control (CDC2017), Melbourne, Australia, Dec. 12-15, 2017.
  45. M. Nagahara, S. Takahashi, H. Higuchi, and T. Takebayashi,
    Sparse Optimization of Physical Distribution Systems based on Maximum Hands-off Control,
    2017 International Symposium on Nonlinear Theory & Its Applications (NOLTA2017), Cancun, Mexico, Dec. 4-7, 2017.
  46. Keisuke Nakashima, Takahiro Matsuda, Masaaki Nagahara, and Tetsuya Takine,
    Cross-Layer Design of an LQG Controller in Multihop TDMA-Based Wireless Networked Control Systems,
    IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Montreal, QC, Canada, October 8-13, 2017.
  47. Masaaki Nagahara, Niharika Challapalli, and Mathukumalli Vidyasagar,
    CLOT Optimization for Distributed Hands-Off Control with Continuity,
    SICE Annual Conference 2017, Sept. 21, 2017.
  48. Kaoru Yamamoto, Yutaka Yamamoto, and Masaaki Nagahara,
    Hypertracking Beyond the Nyquist Frequency,
    Emerging Applications of Control and System Theory (EACST 2017), Dallas, Texas, USA, Sept. 2017.
  49. Kaoru Yamamoto, Yutaka Yamamoto, and Masaaki Nagahara,
    Simultaneous rejection of signals below and above the Nyquist frequency,
    1st IEEE Conference on Control Technology and Applications (CCTA), Hawaii, USA, Aug. 29, 2017.
  50. Niharika Challapalli, Masaaki Nagahara, and Mathukumalli Vidyasagar,
    Continuous Hands-off Control by CLOT Norm Minimization,
    Proc. of the 20th IFAC World Congress 2017, pp. 15019-15024, Toulouse, France, July 14, 2017.
  51. Hampei Sasahara, Kazunori Hayashi, Masaaki Nagahara,
    Symbol Detection for Faster-than-Nyquist Signaling by Sum-of-Absolute-Values Optimization,
    The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), 2017.
  52. Shuichi Ohno, Teruyuki Shiraki, M.Rizwan Tariq, Masaaki Nagahara,
    RATE-DISTORTION ANALYSIS OF DELTA-SIGMA MODULATORS,
    The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), 2017.
  53. Y. Yamamoto, K. Yamamoto and M. Nagahara,
    Tracking of signals beyond the Nyquist frequency,
    2016 IEEE 55th Conference on Decision and Control (CDC), Las Vegas, NV, 2016, pp. 4003-4008. doi: 10.1109/CDC.2016.7798875
  54. T. Ikeda, M. Nagahara and K. Kashima,
    Consensus by maximum hands-off distributed control with sampled-data state observation,
    2016 IEEE 55th Conference on Decision and Control (CDC), Las Vegas, NV, 2016, pp. 962-966. doi: 10.1109/CDC.2016.7798392
  55. M. R. Tariq, S. Ohno and M. Nagahara,
    Synthesis of IIR error feedback filters for ΔΣ modulators using approximation,
    2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), Jeju, 2016.
  56. R. Hayakawa, K. Hayashi, H. Sasahara, and M. Nagahara,
    Massive Overloaded MIMO Signal Detection via Convex Optimization with Proximal Splitting,
    The 2016 European Signal Processing Conference (EUSIPCO), Aug.-Sept. 2016.
  57. T. Ikeda, M. Nagahara and D. E. Quevedo,
    Quantized self-triggered control by sum-of-absolute-values optimization,
    22nd International Symposium on Mathematical Theory of Networks and Systems (MTNS), Minneapolis, Jul. 2016.
  58. H. Sasahara, K. Hayashi, M. Nagahara, and Y. Yamamoto,
    Control Theoretical Approach for Single-Frequency Full-Duplex Wireless Relaying,
    22nd International Symposium on Mathematical Theory of Networks and Systems (MTNS), Minneapolis, Jul. 2016.
  59. T. Ikeda and M. Nagahara,
    Fundamental analysis of sparse optimal control and its application to discrete-valued control,
    2016 American Control Conference (ACC), Boston, Jul. 2016.
  60. T. Ikeda and M. Nagahara,
    Maximum hands-off control without normality assumption,
    2016 American Control Conference (ACC), Boston, Jul. 2016.
  61. H. Sasahara, K. Hayashi, and M. Nagahara,
    Mutiuser Detection by MAP Estimation with Sum-of-Absolute-Values Relaxation,
    IEEE International Conference on Communiations (ICC) 2016, May 2016.
  62. T. Ikeda and M. Nagahara,
    Computation of maximum hands-off control,
    SICE International Symposium on Control Systems 2016, Nagoya, Mar. 9, 2016.
  63. H. Sasahara, K. Hayashi, and M. Nagahara,
    Faster-than-Nyquist Signaling by Sum-of-Absolute-Values,
    SICE International Symposium on Control Systems 2016, Nagoya, Mar. 2016.
  64. Hampei Sasahara, Masaaki Nagahara, Kazunori Hayashi, Yutaka Yamamoto,
    Sampled-data H-infinity optimization for self-interference suppression in baseband signal subspaces,
    54th IEEE Conference on Decision and Control, Osaka, pp. 7244-7249, Dec. 18, 2015.
  65. Hampei Sasahara, Masaaki Nagahara, Kazunori Hayashi, Yutaka Yamamoto,
    Time-domain equalization for single-frequency full-duplex wireless relay using H2 optimal control,
    47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'15), Hawaii, Dec. 5, 2015.
  66. T. Ikeda and M. Nagahara,
    Discrete model predictive control by sum-of-absolute-values optimization,
    47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'15), Hawaii, Dec. 5, 2015.
  67. Masaki Ogura, Masaaki Nagahara, and Victor M. Preciado,
    L1-optimal disturbance rejection for disease spread over time-varying networks,
    The First International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM2015), pp. 377-378, October 28-30, Kyoto, 2015.
  68. H. Sasahara, M. Nagahara, K. Hayashi, and Y. Yamamoto,
    Loop-Back Interference Suppression for OFDM Signals via Sampled-Data Control
    10th Asian Control Conference (ASCC), paper ID: 1570072769, pp. 1-4, May-Jun. 2015.
  69. T. Ikeda and M. Nagahara,
    Continuity of the Value Function in Sparse Optimal Control,
    10th Asian Control Conference (ASCC), paper ID: 1570074957, pp. 1-4, May-Jun. 2015.
  70. H. Sasahara, M. Nagahara, K. Hayashi, and Y. Yamamoto,
    Communication Performance Analysis of Sampled-Data H-infinity Optimal Coupling Wave Canceler
    SICE International Symposium on Control Systems, 513-5 (2 pages), Mar. 2015.
  71. T. Ikeda and M. Nagahara,
    Value Functions in Sparse Optimal and L1 Optimal Controls,
    SICE International Symposium on Control Systems, 513-3 (6 pages), Mar. 2015.
  72. M. Nagahara, H. Sasahara, K. Hayashi, and Y. Yamamoto,
    Sampled-data H-infinity design of coupling wave cancelers in single-frequency full-duplex relay stations, SICE Annual Conference 2014, pp. 401-406, Sept. 2014. (PDF)
  73. M. Nagahara and Y. Yamamoto,
    FIR digital filter design by sampled-data H-infinity discretization,
    The 19th IFAC World Congress, pp. 3110-3115, Aug. 2014. (PDF)
  74. M. Nagahara, D. E. Quevedo, and D. Nesic,
    Maximum-hands-off control and L1 optimality,
    52nd IEEE Conference on Decision and Control (CDC), pp. 3825-3830, Dec. 2013. (PDF)
  75. M. Nagahara and Y. Yamamoto,
    Optimal discretization of analog filters via sampled-data H-infinity control theory,
    The 2013 IEEE Multi-Conference on Systems and Control (MSC 2013), pp. 527-532, Aug. 2013. (PDF)
  76. M. Nagahara and C. F. Martin,
    L1-optimal splines for outlier rejection,
    The 59th World Statistics Congress, pp. 1137-1142, Aug. 2013. (PDF)
  77. M. Nagahara, D. E. Quevedo, and J. Ostergaard,
    Packetized predictive control for rate-limited networks via sparse representation,
    51st IEEE Conference on Decision and Control (CDC), pp. 1362-1367, Dec. 2012. (PDF) (Slides)
  78. M. Nagahara, Y. Yamamoto, S. Miyazaki, T. Kudoh, and N. Hayashi,
    H-infinity control of microgrids involving gas turbine engines and batteries,
    51st IEEE Conference on Decision and Control (CDC), pp. 4241-4246, Dec. 2012. (PDF)
  79. M. Nagahara, D. Quevedo, and J. Ostergaard,
    Sparsely-packetized predictive control by orthogonal matching pursuit
    Mathematical Theory of Networks and Systems (MTNS2012), paper ID: 0156 (3 pages), Jul. 2012. (PDF)
  80. M. Nagahara and Y. Yamamoto,
    H-infinity optimal fractional delay filters with application to pitch shifting
    2012 IFAC Workshop on Time Delay Systems, pp. 61-66, Jun. 2012. (PDF)
  81. M. Nagahara, D. E. Quevedo, T. Matsuda, and K. Hayashi,
    Compressive sampling for networked feedback control,
    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2733-2736, Mar. 2012.(PDF) (Poster)
  82. M. Nagahara, D. E. Quevedo, J. Ostergaard, T. Matsuda, and K. Hayashi,
    Sparse Command Generator for Remote Control,
    The 9th IEEE International Conference on Control & Automation (ICCA), pp. 1055-1059, Dec. 2011. (PDF) (Slides)
  83. M. Nagahara, K. Hanibuchi, and Y. Yamamoto,
    Pitch Shifting by H-Infinity-Optimal Variable Fractional Delay Filters,
    IFAC 18th World Congress, pp. 4386-4391, Aug. 2011. [Demos] (PDF)
  84. M. Nagahara, D. E. Quevedo
    Sparse Representations for Packetized Predictive Networked Control,
    IFAC 18th World Congress, pp. 84-89, Aug. 2011. (PDF) (Slides)
  85. M. Nagahara, K. Hanibuchi, and Y. Yamamoto,
    Duration-invariant pitch-shifting for stringed instruments,
    3rd International Conference on Control and Optimization with Industrial Applications (COIA), paper ID: MAI-EE01 (2 pages), Aug. 2011.
  86. M. Nagahara, C. F. Martin, and Y. Yamamoto,
    Quadratic programming for monotone control theoretic splines,
    SICE Annual Conference 2010, pp. 531-534, Taipei, 2010 (PDF)
  87. M. Nagahara and Y. Yamamoto,
    Robust Repetitive Control by Sampled-Data H-Infinity Filters,
    48th IEEE Conference on Decision and Control and 28th Chinese Control Conference (CDC/CCC), pp. 8136-8141, 2009 (PDF)
  88. M. Nagahara, M. Ogura, and Y. Yamamoto,
    A Novel Approach to Repetitive Control via Sampled-data H-infinity Filters,
    the 7th Asian Control Conference (ASCC), pp. 160-165, Aug, 2009 (PDF)
  89. M. Nagahara and Y. Yamamoto,
    Optimal Design of Delta-Sigma Modulators via Generalized KYP Lemma,
    ICROS-SICE International Joint Conference 2009 (ICASS-SICE2009), pp. 4376-4379, Aug. 2009 (PDF)
  90. M. Nagahara, K. I. Sato, and Y. Yamamoto,
    H2/H-infinity Approach to the Histogram Method for Density Estimation,
    ICROS-SICE International Joint Conference 2009 (ICASS-SICE2009), pp. 1230-1233, Aug. 2009 (PDF)
    honored as a finalist of SICE Annual Conference Award
  91. M. Nagahara and Y. Yamamoto,
    Optimal noise shaping in delta-sigmal modulators via generalized KYP lemma,
    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 3381-3384, Apr. 2009 (PDF)
  92. M. Nagahara, K. Sato, and Y. Yamamoto,
    H-infinity optimal nonparametric density estimation from quantized samples,
    The 40th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS), Nov. 2008 (PDF)
  93. M. Nagahara, M. Ogura, and Y. Yamamoto,
    Interpolation of nonuniform decimated signals via sampled-data H-infinity optimization,
    SICE Annual Conference, pp. 1151-1154, Aug. 2008 (PDF)
  94. M. Nagahara and Y. Yamamoto, and Pramod P. Khargonekar,
    Stability of signal reconstruction filters via cardinal exponential splines,
    IFAC World Congress, pp. 1414-1419, Jul. 2008 (PDF)
  95. M. Nagahara and Y. Yamamoto,
    Hybrid design of filtered-x adaptive algorithm via sampled-data control theory,
    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 353-356, Apr. 2008 (PDF)
  96. M. Ogura, M. Nagahara and Y. Yamamoto,
    Optimal wavelet expansion via sampled-data H-infinity control theory,
    SICE Annual Conference, pp. 1422-1426, Oct. 2007 (PDF)
  97. M. Nagahara and Y. Yamamoto,
    Causal spline interpolation by H-infinity optimization,
    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vol. III, pp. 1469-1472, Apr. 2007 (PDF)
  98. M. Nagahara, T. Wada and Y. Yamamoto,
    Causal spline interpolation by H-infinity optimization,
    SICE-ICCAS 2006, pp. 4160-4163, Oct. 2006 (PDF)
  99. M. Nagahara, T. Wada and Y. Yamamoto,
    Design of delta-sigma converters via sampled-data H-infinity optimization,
    Mathematical Theory of Networks and Systems, MTNS2006, paper ID: FrP09.3 (9 pages), Jul. 2006 (PDF)
  100. M. Nagahara, T. Wada and Y. Yamamoto,
    Design of oversampling delta-sigma DA converters via H-infinity optimization,
    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vol. III, pp. 612-615, May, 2006
    (PDF article, PDF poster (page 1), PDF poster (page 2))
  101. H. Kakemizu, M. Nagahara, A. Kobayashi and Y. Yamamoto,
    Noise reduction of JPEG images by sampled-data H-infinity optimal epsilon filters,
    SICE Annual Conference, pp. 1080-1085, Aug. 2005 (PDF)
    honored as a finalist of Young Author's Award
  102. M. Nagahara and Y. Yamamoto,
    Optimal design of fractional delay FIR filters without band-limiting assumption,
    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)    , pp. 221-224, Mar. 2005
    (PDF article, PDF poster)
  103. Y. Ohta and M. Nagahara,
    On the computation of value sets of multi-linear functions,
    2004 CCA/ISIC/CACSD    , pp. 161-166, Taipei, Sept. 2004 (PDF)
  104. G. Ooi, M. Nagahara and Y. Yamamoto,
    Repetitive control via sampled-data H-infinity control,
    IFAC Workshop on Periodic Control Systems    , pp. 561-565, Aug. 2004 (PDF)
  105. S. Ashida, H. Kakemizu, M. Nagahara and Y. Yamamoto,
    Sampled-data audio signal compression with Huffman coding,
    SICE Annual Conference, pp. 972-976, Sapporo, Aug. 2004 (PDF)
  106. M. Nagahara and Y. Yamamoto,
    Optimal design of fractional delay filters,
    Proc. of 42nd Conf. on Decision and Control (CDC)    , pp. 6539-6544, Maui, Dec. 2003 (PDF)
  107. S. Ashida, M. Nagahara and Y. Yamamoto,
    Audio signal compression via sampled-data control theory,
    SICE Annual Conference, pp. 1182-1185, Fukui, Aug. 2003 (PDF)
  108. Y. Wakasa, D. Yasufuku, M. Nagahara and Y. Yamamoto,
    Sampled-data design of interpolators using the cutting-plane method,
    Proc. of 41st Conf. on Decision and Control (CDC)    , pp. 2564-2569, Las Vegas, Dec. 2002 (PDF)
  109. Y. Yamamoto, B. D. O. Anderson and M. Nagahara,
    Approximating sampled-data systems with applications to digital redesign,
    Proc. of 41st Conf. on Decision and Control (CDC)    , pp. 3724-3729, Las Vegas, Dec. 2002 (PDF)
  110. J. Shimada, M. Kawakami, S. Endoh, F. Ikeda, M. Nagahara and Y. Yamamoto,
    The basis of magnetic navigation system for surgery,,
    Computer Assisted Radiology and Surgery (CARS),
    Proc. of the 16th International Congress and Exhibition    , p. 1088 June 26-29, 2002
  111. Y. Yamamoto, B. D. O. Anderson, M. Nagahara and Y. Koyanagi,
    Optimal FIR approximation for discrete-time IIR filters,
    Proc. 4th Asian Control Conference (ASCC)    , pp. 2008-2013, Singapore, Sept. 2002 (PDF)
  112. K. Kashima, Y. Yamamoto and M. Nagahara,
    Optimal wavelet expansion via sampled-data control,
    40th Conf. on Decision and Control (CDC)    , pp. 4788-4793, Orlando, Dec. 2001 (PDF)
  113. M. Nagahara and Y. Yamamoto,
    Design for digital communication systems via sampled data H infinity control,
    IFAC Workshop on Periodic Control Systems    , pp. 211-216, Cernobbio-Como, Aug. 2001 (PDF)
  114. M. Nagahara and Y. Yamamoto,
    A new design for sample-rate converters,
    39th Conf. on Decision and Control (CDC)     , pp. 4296-4301, Sydney, Dec. 2000 (PDF)
  115. Y. Yamamoto, M. Nagahara and H. Fujioka,
    Multirate signal reconstruction and filter design via sampled-data H-infinity control,
    Mathematical Theory of Networks and Systems, MTNS2000    , CD-ROM, Perpignan, Jun. 2000 (PDF)
Doctoral Thesis
  1. M. Nagahara,
    Multirate Digital Signal Processing via Sampled-Data H-Infinity Optimization,
    Doctoral Thesis, Kyoto University, 2003 (PDF)
Others
  1. M. Nagahara,
    Sparsity Methods for Networked Control,
    IEICE SmartCom2014, Singapore, Oct. 31, 2014.(PDF)
  2. M. Nagahara,
    From digital control to signal processing,
    Indonesia-Japan Joint Seminar on Informatics Researchers and Trends, Jakarta, Indonesia, Sept. 17, 2014.
  3. M. Nagahara,
    Sparsity-promoting methods in remote control systems,
    The 9th IEEE VTS Asia Pacific Wireless Communications Symposium(APWCS2012), Aug. 2012. (PDF)
  4. K. Hayashi and M. Nagahara,
    A Brief Introduction to Compressed Sensing,
    The 9th IEEE VTS Asia Pacific Wireless Communications Symposium(APWCS2012), Aug. 2012.
  5. Y. Yamamoto and M. Nagahara,
    Digital filter design with optimal analog performance,
    Kyoto University International Symposium    , 2001 (PDF)