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Kenji Sugimoto
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2020 – today
- 2022
- [j25]Kenji Sugimoto
, Wataru Imahayashi
Establishment of Strictly Positive Real Condition for Tuning MIMO Feedforward Control. IEEE Control. Syst. Lett. 6: 1454-1459 (2022) - [j24]Wendyam Eric Lionel Ilboudo
Robust Stochastic Gradient Descent With Student-t Distribution Based First-Order Momentum. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1324-1337 (2022) - [c48]Atsuki Nagata, Takamitsu Matsubara, Kenji Sugimoto:
Disturbance Suppression in Feedback Error Learning Control. SICE 2022: 944-949 - [i9]Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto:
AdaTerm: Adaptive T-Distribution Estimated Robust Moments towards Noise-Robust Stochastic Gradient Optimizer. CoRR abs/2201.06714 (2022) - 2021
- [j23]Takumi Aotani
Meta-Optimization of Bias-Variance Trade-Off in Stochastic Model Learning. IEEE Access 9: 148783-148799 (2021) - [j22]Takumi Aotani
Bottom-up multi-agent reinforcement learning by reward shaping for cooperative-competitive tasks. Appl. Intell. 51(7): 4434-4452 (2021) - [j21]Hidehito Fujiishi, Taisuke Kobayashi
Safe and efficient imitation learning by clarification of experienced latent space. Adv. Robotics 35(16): 1012-1027 (2021) - [c47]Yuki Amemiya, Kenta Hanada, Kenji Sugimoto:
Adaptive Step Size for a Consensus based Distributed Subgradient Method in Generalized Mutual Assignment Problem. IIAI-AAI-Winter 2021: 141-152 - [c46]Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto:
Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning. IROS 2021: 7851-7857 - [i8]Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto:
Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning. CoRR abs/2108.00625 (2021) - 2020
- [j20]Masaki Ogura
Synergistic Effects in Networked Epidemic Spreading Dynamics. IEEE Trans. Circuits Syst. II Express Briefs 67-II(3): 496-500 (2020) - [c45]Kenji Sugimoto, Wataru Imahayashi, Ryo Arimoto:
Relaxation of Strictly Positive Real Condition for Tuning Feedforward Control. CDC 2020: 1441-1447 - [c44]Chengyan Zhao, Masaki Ogura, Kenji Sugimoto:
Finite-time Control of Discrete-time Positive Linear Systems via Convex Optimization. SICE 2020: 1230-1235 - [i7]Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto:
TAdam: A Robust Stochastic Gradient Optimizer. CoRR abs/2003.00179 (2020) - [i6]Chengyan Zhao, Masaki Ogura, Kenji Sugimoto:
Finite-time Control of Discrete-time Positive Linear Systems via Convex Optimization. CoRR abs/2008.01024 (2020) - [i5]Koki Kobayashi, Masaki Ogura, Taisuke Kobayashi, Kenji Sugimoto:
Deep unfolding-based output feedback control design for linear systems with input saturation. CoRR abs/2011.10196 (2020)
2010 – 2019
- 2019
- [j19]Yunduan Cui
Environment-adaptive interaction primitives through visual context for human-robot motor skill learning. Auton. Robots 43(5): 1225-1240 (2019) - [c43]Xinyou Han, Wataru Imahayashi, Kenji Sugimoto:
Strictly Positive Real Condition Establishment in Feedback Error Learning Control. ASCC 2019: 438-443 - [i4]Masaki Ogura, Wenjie Mei, Kenji Sugimoto:
Synergistic Effects in Networked Epidemic Spreading Dynamics. CoRR abs/1902.02954 (2019) - [i3]Chengyan Zhao, Masaki Ogura, Kenji Sugimoto:
Stability Optimization of Positive Semi-Markov Jump Linear Systems via Convex Optimization. CoRR abs/1904.11690 (2019) - [i2]Wenjie Mei
Mixed $H_2/H_{\infty}$ Control for Markov Jump Linear Systems with State and Mode-observation Delays. CoRR abs/1908.04001 (2019) - 2018
- [j18]Juan Rodríguez-Ramírez, Yuki Minami, Kenji Sugimoto:
Synthesis of event-triggered dynamic quantizers for networked control systems. Expert Syst. Appl. 109: 188-194 (2018) - [c42]Sojo Enokida, Takashi Yoshino
An Integrated Support System for Disaster Prevention Map-Making Using Town-Walk Information Gathering. CollabTech 2018: 19-34 - [c41]Takumi Aotani
Bottom-up Multi-agent Reinforcement Learning for Selective Cooperation. SMC 2018: 3590-3595 - [i1]Toshihide Tadenuma, Masaki Ogura, Kenji Sugimoto:
Sampled-Data State Observation over Lossy Networks under Round-Robin Scheduling. CoRR abs/1810.00318 (2018) - 2017
- [j17]Yunduan Cui
Pneumatic artificial muscle-driven robot control using local update reinforcement learning. Adv. Robotics 31(8): 397-412 (2017) - [j16]Juan Rodríguez-Ramírez, Yuki Minami, Kenji Sugimoto:
Event-Triggered Quantizers for Network Traffic Reduction. J. Adv. Comput. Intell. Intell. Informatics 21(6): 1111-1113 (2017) - [j15]Yunduan Cui
Kernel dynamic policy programming: Applicable reinforcement learning to robot systems with high dimensional states. Neural Networks 94: 13-23 (2017) - [c40]Juan E. Rodríguez-Ramírez
Neural network quantizers for discrete-valued input control. ASCC 2017: 2019-2024 - [c39]James Poon, Yunduan Cui
Local driving assistance from demonstration for mobility aids. ICRA 2017: 5935-5941 - [c38]Yuki Ishikura, Takamitsu Matsubara, Kenji Sugimoto, Yusuke Kato, Tsuyoshi Inoue, Jun Ozawa:
Learning discriminative intention predictors for sit-to-stand assistance. SII 2017: 962-967 - 2016
- [j14]Daisuke Tanaka, Takamitsu Matsubara, Kenji Sugimoto:
Input-Output Manifold Learning with State Space Models. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 99-A(6): 1179-1187 (2016) - [c37]Takamitsu Matsubara, Kotaro Shibata, Kenji Sugimoto:
Active touch point selection with travel cost in tactile exploration for fast shape estimation of unknown objects. AIM 2016: 1115-1120 - [c36]Takamitsu Matsubara, Yoshihito Funaki, Ming Ding, Tsukasa Ogasawara
Data-efficient human training of a care motion controller for human transfer assistant robots using Bayesian optimization. BioRob 2016: 606-611 - [c35]Yunduan Cui
Kernel dynamic policy programming: Practical reinforcement learning for high-dimensional robots. Humanoids 2016: 662-667 - [c34]Yunduan Cui
Environment-adaptive interaction primitives for human-robot motor skill learning. Humanoids 2016: 711-717 - 2015
- [j13]Takamitsu Matsubara, Takaya Asakura, Kenji Sugimoto:
Dynamic Linear Bellman Combination of Optimal Policies for Solving New Tasks. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 98-A(10): 2187-2190 (2015) - [j12]Maricris Cuison Marimon, Gregory L. Tangonan, Nathaniel Joseph Libatique
Development and Evaluation of Wave Sensor Nodes for Ocean Wave Monitoring. IEEE Syst. J. 9(1): 292-302 (2015) - [c33]Yunduan Cui
Local Update Dynamic Policy Programming in reinforcement learning of pneumatic artificial muscle-driven humanoid hand control. Humanoids 2015: 1083-1089 - [c32]Takamitsu Matsubara, Takahiro Hasegawa, Kenji Sugimoto:
Reinforcement learning of shared control for dexterous telemanipulation: Application to a page turning skill. RO-MAN 2015: 343-348 - [c31]Takamitsu Matsubara, Jaime Valls Miró
Sequential intention estimation of a mobility aid user for intelligent navigational assistance. RO-MAN 2015: 444-449 - 2014
- [j11]Genki Matsui, Takuji Tachibana, Kiminao Kogiso
Dynamic Resource Management in Optical Grid. IEEE Trans. Control. Syst. Technol. 22(4): 1607-1614 (2014) - [c30]Takamitsu Matsubara, Hiroaki Takada, Kenji Sugimoto:
Task-adaptive inertial parameter estimation of rigid-body dynamics with modeling error for model-based control using covariate shift adaptation. AIM 2014: 476-482 - [c29]Kenji Sugimoto, Lorlynn A. Mateo:
Feedforward learning control for MIMO plant with finite zeros: Parameterization of numerator polynomial matrix. CDC 2014: 4119-4124 - [c28]Daisuke Tanaka, Takamitsu Matsubara, Kenji Sugimoto:
An optimal control approach for exploratory actions in active tactile object recognition. Humanoids 2014: 787-793 - [c27]Daisuke Tanaka, Takamitsu Matsubara, Kentaro Ichien, Kenji Sugimoto:
Object manifold learning with action features for active tactile object recognition. IROS 2014: 608-614 - 2013
- [j10]Genki Matsui, Takuji Tachibana, Yukinori Nakamura, Kenji Sugimoto:
Distributed power adjustment based on control theory for cognitive radio networks. Comput. Networks 57(17): 3344-3356 (2013) - [c26]Kiminao Kogiso
Gray-box identification of McKibben pneumatic artificial muscle using interpolation of load-dependent parameters. AIM 2013: 1228-1234 - [c25]Kenji Sugimoto, Akihiro Doi, Tadashi Matsumoto:
Feedforward Learning Control by Scheduled Locally Weighted Regression. ALCOSP 2013: 239-244 - [c24]Kiminao Kogiso
Game-based inner approximation of maximal output admissible sets under references unknown in advance. ECC 2013: 716-723 - [c23]Kiminao Kogiso
Application of game-theoretic learning to gray-box modeling of McKibben pneumatic artificial muscle systems. IROS 2013: 5795-5802 - 2012
- [j9]Harumasa Kinoshita, Takuji Tachibana, Kenji Sugimoto:
Rank-based dynamic frequency hopping without strict coordination in IEEE 802.22 WRAN system. Int. J. Commun. Syst. 25(3): 340-355 (2012) - [c22]Kiminao Kogiso
Identification procedure for McKibben pneumatic artificial muscle systems. IROS 2012: 3714-3721 - [c21]Daisuke Tanaka, Takuya Hirotani, Kenji Sugimoto:
Blind Identification of Polynomial Matrix Fraction for Disturbance Rejection. ROCOND 2012: 69-74 - [c20]Maricris Cuison Marimon, Kenji Sugimoto:
Threshold design for low cost wave sensors through statistical analysis of data. SoSE 2012: 291-296 - 2011
- [c19]Mika Mori, Takuji Tachibana, Kentaro Hirata, Kenji Sugimoto:
A Proposed Topology Design and Admission Control Approach for Improved Network Robustness in Network Virtualization. GLOBECOM 2011: 1-5 - 2010
- [j8]Badr Oulad Nassar, Takuji Tachibana, Kenji Sugimoto:
Random scheduling based on transmission delay and buffer size for hop-based burst-cluster transmission in OBS networks. Photonic Netw. Commun. 19(3): 292-300 (2010) - [c18]Kenji Sugimoto, Makoto Noguchi:
Improved Feedback Error Learning with Prefilter State Variables and RLS Criterion. CCA 2010: 41-46 - [c17]Arata Suzuki, Kenji Sugimoto:
Robust Estimation of Heat Capacity in Cooking Devices. CCA 2010: 1374-1378 - [c16]Kenji Sugimoto, Makoto Noguchi:
Further results on feedback error learning control: Partially known plant and general response model. CDC 2010: 66-71
2000 – 2009
- 2009
- [j7]Atsushi Satoh, Kenji Sugimoto:
Loose eigenstructure assignment via rank-one LMI approach with application to transient response shaping in H∞ control. Int. J. Control 82(3): 497-507 (2009) - [c15]Izumi Koyanagi, Takuji Tachibana, Kenji Sugimoto:
A Reinforcement Learning-Based Lightpath Establishment for Service Differentiation in All-Optical WDM Networks. GLOBECOM 2009: 1-6 - 2008
- [j6]Basel Alali, Kentaro Hirata, Kenji Sugimoto:
Feedback Error Learning with Insufficient Excitation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 91-A(10): 3071-3075 (2008) - [c14]Kiminao Kogiso
A remote control technique with compensation for transmission delay and its application to pan control of a network camera. CCA 2008: 55-60 - [c13]Kenji Sugimoto, Basel Alali, Kentaro Hirata:
Feedback Error Learning with insufficient excitation. CDC 2008: 714-719 - [c12]Takuji Tachibana, Kiminao Kogiso
Dynamic Management of Computing and Network Resources with PID Control in Optical Grid Networks. ICC 2008: 396-400 - 2007
- [j5]Jani Even, Kenji Sugimoto:
Blind Identification for Systems Non-Invertible at Infinity. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 90-A(6): 1133-1143 (2007) - [c11]Yukinori Nakamura, Kentaro Hirata, Kenji Sugimoto, Kiminao Kogiso
Cooperative Networked Control with Gain Switching Observer. ISIC 2007: 184-189 - [c10]Jani Even, Kenji Sugimoto:
Modeling and compensating input distortion in MIMO systems via blind deconvolution. ALCOSP 2007: 50-55 - [c9]Basel Alali, Kentaro Hirata, Kenji Sugimoto:
Closed-loop identification based on MIMO feedback error learning. ALCOSP 2007: 62-68 - [c8]Takashi Tomimoto, Takuji Tachibana, Kenji Sugimoto:
Capability-Aware ID Assignment and Message Routing Based on Skip List in Large-Scale Heterogeneous P2P Networks. GLOBECOM 2007: 70-74 - [c7]Takuji Tachibana, Shoji Kasahara
Dynamic Lightpath Establishment for Service Differentiation Based on Optimal MDP Policy in All-Optical Networks with Wavelength Conversion. ICC 2007: 2424-2429 - 2006
- [c6]Basel Alali, Kentaro Hirata, Kenji Sugimoto:
Generalization of feedback error learning (FEL) to strictly proper MIMO systems. ACC 2006: 1-6 - [c5]Atsushi Satoh, Kenji Sugimoto:
An LMI approach to gain parameter design for regional eigenvalue/eigenstructure assignment. CDC 2006: 5778-5783 - [c4]Jani Even, Kenji Sugimoto:
Blind Estimation of Row Relative Degree Via Constrained Mutual Information Minimization. ICA 2006: 352-359 - 2003
- [c3]Atsushi Satoh, Junro Okubo, Kenji Sugimoto:
Transient response shaping in H∞ control by eigenstructure assignment to convex regions. CDC 2003: 2288-2293 - 2002
- [j4]Atsushi Satoh, Kenji Sugimoto:
Discrete-Time Q-Dissipative Control with Application to Stability Margin Guarantee. Eur. J. Control 8(3): 213-219 (2002) - [j3]Didier Henrion, Kenji Sugimoto, Michael Sebek:
Rank-one LMI approach to robust stability of polynomial matrices. Kybernetika 38(5): 643-656 (2002) - 2001
- [c2]Kenji Sugimoto, Michael Sebek, Didier Henrion:
Polynomial matrices and recursive QR factorization. ECC 2001: 3681-3686
1990 – 1999
- 1999
- [c1]Kenji Sugimoto:
Weakened partial pole placement with H∞ criterion. ECC 1999: 437-442 - 1998
- [j2]Kenji Sugimoto:
Partial pole placement by LQ regulators: an inverse problem approach. IEEE Trans. Autom. Control. 43(5): 706-708 (1998) - 1993
- [j1]Kenji Sugimoto, Akira Inoue, Shiro Masuda:
A direct computation of state deadbeat feedback gains. IEEE Trans. Autom. Control. 38(8): 1283-1284 (1993)
Coauthor Index
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