2016 - 2018 Cognitive and self-organizing network architecture
2014 - 2018 Control systems that utilize interaction with environmental fluctuation
2014 - 2017 Cooperative Multi-Projection System Design based on Distributed Control Theory
2013 - 2016 Understanding and application of the network structure with order variables using a model cell
2012 - 2015 Real-Time Optimization Algorithms and Their Applications for Control of Large-Scale Nonlinear Spatiotemporal Patterns
2009 - 2012 Stochastic control of Levy driven processes with application to mathematical finance
2010 - 2011 Developments of Design Theory for Control Systems open to Environments
2008 - 2010 Modeling, Analysis, and Control for Gene networks
2006 - 2008 Feedback delay optimization based on performance limitation analysis
2006 - 2007 遺伝子発現ネットワークの可制御性解析
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Papers (181):
Ran Wang, Ye Tian, Kenji Kashima. Density estimation based soft actor-critic: deep reinforcement learning for static output feedback control with measurement noise. Advanced Robotics. 2024
Ran Wang, Kenji Kashima. Deep reinforcement learning for continuous-time self-triggered control with experimental evaluation. Advanced Robotics. 2023. 1-13
Ran Wang, Ye Tian, Kenji Kashima. Reinforcement Learning for Discrete-time Static Noisy State Feedback Control with Reward Estimation. Preprints of the 22nd IFAC World Congress. 2023. 4251-4254
Kaito Ito, Kenji Kashima. Maximum Entropy Density Control of Discrete-time Linear Systems with Quadratic State Cost. Preprints of the 22nd IFAC World Congress. 2023. 3785-3788
Koshi Oishi, Yota Hashizume, Tomohiko Jimbo, Hirotaka Kaji, Kenji Kashima. Resilience Evaluation of Entropy Regularized Logistic Networks with Probability Cost. Preprints of the 22nd IFAC World Congress. 2023. 3449-3454
Kaito ITO, Kenji KASHIMA. Rare-event Modeling for Dynamical Systems and Its Applications: Stable Distribution Approach. IEICE ESS Fundamentals Review. 2021. 14. 4. 269-278
志垣沙衣子, 久世尚美, 小南大智, 加嶋健司, 村田正幸. Network Control Mechanism Using Uncertain Information inspired by Collective Decision Making. 電子情報通信学会技術研究報告. 2020. 119. 461(IN2019 76-148)(Web)
2019/12 - IEEE Control Systems Society 2019 IEEE CSS Roberto Tempo Best CDC Paper Award Sparsity-Constrained Controllability Maximization With Application to Time-Varying Control Node Selection
2011/09 - SICE 2011 SICE Annual Conference International Award Connection Profile Robustness in a Heterogeneous Network of Piecewise Affine FitzHugh-Nagumo Models
2010/04 - Alexander von Humboldt Foundation Humboldt Research Fellowship for Experienced Researchers Control Theoretic Approach to Spatially Distributed Dynamics and Stochasticity in Systems Biology