Kenji Sugimoto

Orcid: 0000-0002-5149-5643

According to our database1, Kenji Sugimoto authored at least 77 papers between 1993 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Robust Stochastic Gradient Descent With Student-t Distribution Based First-Order Momentum.
IEEE Trans. Neural Networks Learn. Syst., 2022

Establishment of Strictly Positive Real Condition for Tuning MIMO Feedforward Control.
IEEE Control. Syst. Lett., 2022

AdaTerm: Adaptive T-Distribution Estimated Robust Moments towards Noise-Robust Stochastic Gradient Optimizer.
CoRR, 2022

Disturbance Suppression in Feedback Error Learning Control.
Proceedings of the 61st IEEE Annual Conference of the Society of Instrument and Control Engineers, 2022

2021
Safe and efficient imitation learning by clarification of experienced latent space.
Adv. Robotics, 2021

Bottom-up multi-agent reinforcement learning by reward shaping for cooperative-competitive tasks.
Appl. Intell., 2021

Meta-Optimization of Bias-Variance Trade-Off in Stochastic Model Learning.
IEEE Access, 2021

Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
Synergistic Effects in Networked Epidemic Spreading Dynamics.
IEEE Trans. Circuits Syst. II Express Briefs, 2020

Deep unfolding-based output feedback control design for linear systems with input saturation.
CoRR, 2020

TAdam: A Robust Stochastic Gradient Optimizer.
CoRR, 2020

Finite-time Control of Discrete-time Positive Linear Systems via Convex Optimization.
Proceedings of the 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2020

Relaxation of Strictly Positive Real Condition for Tuning Feedforward Control.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Mixed $H_2/H_{\infty}$ Control for Markov Jump Linear Systems with State and Mode-observation Delays.
CoRR, 2019

Stability Optimization of Positive Semi-Markov Jump Linear Systems via Convex Optimization.
CoRR, 2019

Environment-adaptive interaction primitives through visual context for human-robot motor skill learning.
Auton. Robots, 2019

Strictly Positive Real Condition Establishment in Feedback Error Learning Control.
Proceedings of the 12th Asian Control Conference, 2019

2018
Synthesis of event-triggered dynamic quantizers for networked control systems.
Expert Syst. Appl., 2018

Sampled-Data State Observation over Lossy Networks under Round-Robin Scheduling.
CoRR, 2018

Bottom-up Multi-agent Reinforcement Learning for Selective Cooperation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

An Integrated Support System for Disaster Prevention Map-Making Using Town-Walk Information Gathering.
Proceedings of the Collaboration Technologies and Social Computing, 2018

2017
Kernel dynamic policy programming: Applicable reinforcement learning to robot systems with high dimensional states.
Neural Networks, 2017

Event-Triggered Quantizers for Network Traffic Reduction.
J. Adv. Comput. Intell. Intell. Informatics, 2017

Pneumatic artificial muscle-driven robot control using local update reinforcement learning.
Adv. Robotics, 2017

Learning discriminative intention predictors for sit-to-stand assistance.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2017

Local driving assistance from demonstration for mobility aids.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Neural network quantizers for discrete-valued input control.
Proceedings of the 11th Asian Control Conference, 2017

2016
Input-Output Manifold Learning with State Space Models.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016

Environment-adaptive interaction primitives for human-robot motor skill learning.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

Kernel dynamic policy programming: Practical reinforcement learning for high-dimensional robots.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

Data-efficient human training of a care motion controller for human transfer assistant robots using Bayesian optimization.
Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016

Active touch point selection with travel cost in tactile exploration for fast shape estimation of unknown objects.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2016

2015
Development and Evaluation of Wave Sensor Nodes for Ocean Wave Monitoring.
IEEE Syst. J., 2015

Dynamic Linear Bellman Combination of Optimal Policies for Solving New Tasks.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015

Sequential intention estimation of a mobility aid user for intelligent navigational assistance.
Proceedings of the 24th IEEE International Symposium on Robot and Human Interactive Communication, 2015

Reinforcement learning of shared control for dexterous telemanipulation: Application to a page turning skill.
Proceedings of the 24th IEEE International Symposium on Robot and Human Interactive Communication, 2015

Local Update Dynamic Policy Programming in reinforcement learning of pneumatic artificial muscle-driven humanoid hand control.
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

2014
Dynamic Resource Management in Optical Grid.
IEEE Trans. Control. Syst. Technol., 2014

Object manifold learning with action features for active tactile object recognition.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

An optimal control approach for exploratory actions in active tactile object recognition.
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

Feedforward learning control for MIMO plant with finite zeros: Parameterization of numerator polynomial matrix.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Task-adaptive inertial parameter estimation of rigid-body dynamics with modeling error for model-based control using covariate shift adaptation.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2014

2013
Distributed power adjustment based on control theory for cognitive radio networks.
Comput. Networks, 2013

Application of game-theoretic learning to gray-box modeling of McKibben pneumatic artificial muscle systems.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Game-based inner approximation of maximal output admissible sets under references unknown in advance.
Proceedings of the 12th European Control Conference, 2013

Feedforward Learning Control by Scheduled Locally Weighted Regression.
Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013

Gray-box identification of McKibben pneumatic artificial muscle using interpolation of load-dependent parameters.
Proceedings of the 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2013

2012
Rank-based dynamic frequency hopping without strict coordination in IEEE 802.22 WRAN system.
Int. J. Commun. Syst., 2012

Threshold design for low cost wave sensors through statistical analysis of data.
Proceedings of the 7th International Conference on System of Systems Engineering, 2012

Blind Identification of Polynomial Matrix Fraction for Disturbance Rejection.
Proceedings of the 7th IFAC Symposium on Robust Control Design, 2012

Identification procedure for McKibben pneumatic artificial muscle systems.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2011
A Proposed Topology Design and Admission Control Approach for Improved Network Robustness in Network Virtualization.
Proceedings of the Global Communications Conference, 2011

2010
Random scheduling based on transmission delay and buffer size for hop-based burst-cluster transmission in OBS networks.
Photonic Netw. Commun., 2010

Further results on feedback error learning control: Partially known plant and general response model.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Robust Estimation of Heat Capacity in Cooking Devices.
Proceedings of the IEEE International Conference on Control Applications, 2010

Improved Feedback Error Learning with Prefilter State Variables and RLS Criterion.
Proceedings of the IEEE International Conference on Control Applications, 2010

2009
Loose eigenstructure assignment via rank-one LMI approach with application to transient response shaping in <i>H</i><sub>∞</sub> control.
Int. J. Control, 2009

A Reinforcement Learning-Based Lightpath Establishment for Service Differentiation in All-Optical WDM Networks.
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009

2008
Feedback Error Learning with Insufficient Excitation.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008

Dynamic Management of Computing and Network Resources with PID Control in Optical Grid Networks.
Proceedings of IEEE International Conference on Communications, 2008

A remote control technique with compensation for transmission delay and its application to pan control of a network camera.
Proceedings of the IEEE International Conference on Control Applications, 2008

2007
Blind Identification for Systems Non-Invertible at Infinity.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2007

Dynamic Lightpath Establishment for Service Differentiation Based on Optimal MDP Policy in All-Optical Networks with Wavelength Conversion.
Proceedings of IEEE International Conference on Communications, 2007

Capability-Aware ID Assignment and Message Routing Based on Skip List in Large-Scale Heterogeneous P2P Networks.
Proceedings of the Global Communications Conference, 2007

Modeling and compensating input distortion in MIMO systems via blind deconvolution.
Proceedings of the 9th IFAC Workshop on Adaptation and Learning in Control and Signal Processing, 2007

Closed-loop identification based on MIMO feedback error learning.
Proceedings of the 9th IFAC Workshop on Adaptation and Learning in Control and Signal Processing, 2007

Cooperative Networked Control with Gain Switching Observer.
Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 2007

2006
Blind Estimation of Row Relative Degree Via Constrained Mutual Information Minimization.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

An LMI approach to gain parameter design for regional eigenvalue/eigenstructure assignment.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

Generalization of feedback error learning (FEL) to strictly proper MIMO systems.
Proceedings of the American Control Conference, 2006

2003
Transient response shaping in H<sub>∞</sub> control by eigenstructure assignment to convex regions.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2002
Rank-one LMI approach to robust stability of polynomial matrices.
Kybernetika, 2002

Discrete-Time Q-Dissipative Control with Application to Stability Margin Guarantee.
Eur. J. Control, 2002

2001
Polynomial matrices and recursive QR factorization.
Proceedings of the 6th European Control Conference, 2001

1999
Weakened partial pole placement with H∞ criterion.
Proceedings of the 5th European Control Conference, 1999

1998
Partial pole placement by LQ regulators: an inverse problem approach.
IEEE Trans. Autom. Control., 1998

1993
A direct computation of state deadbeat feedback gains.
IEEE Trans. Autom. Control., 1993


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