Publication in fiscal year 2019 (Apr. 2019 – Mar. 2020)
W. Imahayashi and K. Sugimoto,
“Feedback Error Learning Control under an SPR Condition with Application to Temporal Sensing Failure,”
(in Japanese) in Transactions of the Institute of Systems, Control and Information Engineers, Vol. 63, No. 4, pp. 177-184 (2019)
K. Sugimoto, W. Imahayashi, and X. Han,
“MIMO Generalization of Feedback Error Learning Control based on Strictly Positive Real Condition,”
(in Japanese ) in IEEJ Transactions on Electronics, Information and Systems, Vol. 139, No. 8, pp. 866-873 (2019)
M. Ogura and V. M. Preciado,
“Stability of SIS spreading processes in networks with non-Markovian transmission and recovery,”
IEEE Transactions on Control of Network Systems (accepted for publication), (2019)
M. Ogura, J. Harada, M. Kishida, and A. Yassine,
“Resource optimization of product development projects with time-varying dependency structure,”
Research in Engineering Design, vol. 30, no. 3, pp. 435-452 (2019)
M. Ogura, V. M. Preciado, and N. Masuda
“Optimal containment of epidemics over temporal activity-driven networks,”
SIAM Journal on Applied Mathematics, Vol. 79, no. 3, pp. 986-1006 (2019)
M. Ogura, W. Mei, and K. Sugimoto
“Synergistic Effects in Networked Epidemic Spreading Dynamics,”
IEEE Transactions on Circuits and Systems II: Express Briefs (accepted for publication), (2019)
“Student-t policy in reinforcement learning to acquire global optimum of robot control,”
Applied Intelligence (Online first), (2019)
T. Kobayashi, T. Aoyama, K. Sekiyama, Y. Hasegawa, and T. Fukuda
“Delays in perception and action for improving walk–run transition stability in bipedal gait,”
Nonlinear Dynamics, Vol. 97, No. 2, pp. 1685-1698, (2019)
T. Tadenuma, M. Ogura, and K. Sugimoto
“Round-robin scheduling and gain-switching robust controller over lossy measurement/command networks,”
Transactions of the Society of Instrument and Control Engineers (SICE), Vol. 56, No. 3 (2020) (in Japanese) (to appear)
- Y. Abe, M. Ogura, H. Tsuji, A. Miura, and S. Adachi,
“Resource and network management framework for a large-scale satellite communications system,”
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (accepted for publication), 2019.
- M. Ogura, W. Mei, and K. Sugimoto,
“Upper-bounding dynamics on networked synergistic susceptible-infected-susceptible model,”
SICE Annual Conference 2019, pp. 1430-1431, Hiroshima, 2019.9.10-13 (2019.9.13).
- M. Ogura, M. Kishida, K. Hayashi, and J. Lam,
“Geometric programming for optimizing stability of distributed power control algorithms,”
SICE Annual Conference 2019, pp. 679-680, Hiroshima, 2019.9.10-13 (2019.9.12).
- M. Kumazaki, M. Ogura, and T. Tachibana,
“VNF management with model predictive control for multiple service chains,”
IEEE International Conference on Consumer Electronics – Taiwan, 2019.5.20-22.
X. Han, W. Imahayashi, and K. Sugimoto,
“Strictly positive real condition establishment in feedback error learning control”,
12th Asian Control Conference (ASCC), pp. 438-443, Kitakyushu, 2019.6.9-12 (2019.6.10).
M. Ogura, M. Kishida, K. Hayashi, and J. Lam,
“Resource allocation for robust stabilization of Foschini-Miljanic Algorithm,”
2019 American Control Conference, pp. 4030-4035, 2019.7.10-12.
T. Kobayashi, T. Aotani, J. R. Guadarrama-Olvera, E. Dean-Leon, and G. Cheng,
“Reward-Punishment Actor-Critic Algorithm Applying to Robotic Non-grasping Manipulation,”
International Conference on Development and Learning and Epigenetic Robotics, pp. 37-42, Oslo, Norway, 2019.8.19-22 (2019.8.20).
“Hyperbolically-Discounted Reinforcement Learning on Reward-Punishment Framework,”
International Conference on Development and Learning and Epigenetic Robotics, pp. 99-100, Oslo, Norway, 2019.8.19-22 (2019.8.20).
X. Han, W. Imahayashi, and K. Sugimoto,
“Feedback Error Learning Control for Plant with Relative Degree Two”,
SICE Annual Conference 2019, pp. 205-208, Hiroshima, 2019.9.10-13 (2019.9.11).
- T. Kobayashi,
“Variational Deep Embedding with Regularized Student-t Mixture Model,”
International Conference on Artificial Neural Networks (ICANN2019), vol. 3, pp. 443-455,
Munich, Germany, 2019.9.17-19 (2018.9.18).
- T. Kobayashi and T. Sugino,
“Continual Learning Exploiting Structure of Fractal Reservoir Computing,”
International Conference on Artificial Neural Networks (ICANN2019), vol. 5, pp. 35-47,
Munich, Germany, 2019.9.17-19 (2018.9.19).
T. Kobayashi, E. Dean-Leon,J. R. Guadarrama-Olvera, F. Bergner, and G. Cheng,
“Multi-Contacts Force-Reactive Walking Control During Physical Human-Humanoid Interaction,”
IEEE-RAS International Conference on Humanoid Robots, pp. 33-39, Toronto, Canada, 2019.10.15-17 (2019.10.16).
- M. Ogura，
“Synthesis of positive linear systems by geometric programming”
University of Hong Kong，2019 (8.06)