Kenji Kashima

Orcid: 0000-0002-2963-2584

According to our database1, Kenji Kashima authored at least 107 papers between 2003 and 2024.

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Bibliography

2024
Maximum Entropy Optimal Density Control of Discrete-Time Linear Systems and Schrödinger Bridges.
IEEE Trans. Autom. Control., March, 2024

Density estimation based soft actor-critic: deep reinforcement learning for static output feedback control with measurement noise.
Adv. Robotics, March, 2024

Tsallis Entropy Regularization for Linearly Solvable MDP and Linear Quadratic Regulator.
CoRR, 2024

Imitation-regularized Optimal Transport on Networks: Provable Robustness and Application to Logistics Planning.
CoRR, 2024

Minimum energy density steering of linear systems with Gromov-Wasserstein terminal cost.
CoRR, 2024

Sampled-Data Primal-Dual Gradient Dynamics in Model Predictive Control.
CoRR, 2024

Anticipatory Robot Navigation: Incorporating Estimated Obstacle Behaviors with the Social Force Model.
Proceedings of the IEEE International Conference on Consumer Electronics, 2024

2023
Deep reinforcement learning for continuous-time self-triggered control with experimental evaluation.
Adv. Robotics, August, 2023

Entropic model predictive optimal transport over dynamical systems.
Autom., June, 2023

Differentiable Sparse Optimal Control.
IEEE Control. Syst. Lett., 2023

Combinatorial Optimization Approach to Client Scheduling for Federated Learning.
IEEE Control. Syst. Lett., 2023

Observability Gramian for Bayesian Inference in Nonlinear Systems With Its Industrial Application.
IEEE Control. Syst. Lett., 2023

Entropic Model Predictive Optimal Transport for Underactuated Linear Systems.
IEEE Control. Syst. Lett., 2023

Learning Exactly Linearizable Deep Dynamics Models.
CoRR, 2023

Maximum Entropy Density Control of Discrete-Time Linear Systems with Quadratic Cost.
CoRR, 2023

An LMI framework for contraction-based nonlinear control design by derivatives of Gaussian process regression.
Autom., 2023

Data-Informativity for Data-Driven Supervisory Control of Discrete-Event Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Sparse Control Node Scheduling in Networked Systems Based on Approximate Controllability Metrics.
IEEE Trans. Control. Netw. Syst., 2022

Multiple Sparsity Constrained Control Node Scheduling With Application to Rebalancing of Mobility Networks.
IEEE Trans. Autom. Control., 2022

Bayesian Differential Privacy for Linear Dynamical Systems.
IEEE Control. Syst. Lett., 2022

Structured Hammerstein-Wiener Model Learning for Model Predictive Control.
IEEE Control. Syst. Lett., 2022

Resilience Evaluation of Entropy Regularized Logistic Networks with Probabilistic Cost.
CoRR, 2022

Kullback-Leibler control for discrete-time nonlinear systems on continuous spaces.
CoRR, 2022

Matrix Pontryagin principle approach to controllability metrics maximization under sparsity constraints.
CoRR, 2022

Learning Stabilizable Deep Dynamics Models.
CoRR, 2022

On numerical solution to sparsity constrained controllability metrics maximization.
Proceedings of the 61st IEEE Annual Conference of the Society of Instrument and Control Engineers, 2022

Optimal time-varying topology for network systems.
Proceedings of the 13th Asian Control Conference, 2022

Sinkhorn MPC: Model predictive optimal transport over dynamical systems.
Proceedings of the American Control Conference, 2022

2021
Modular control under privacy protection: Fundamental trade-offs.
Autom., 2021

Privacy protection with heavy-tailed noise for linear dynamical systems.
Autom., 2021

Sparse optimal stochastic control.
Autom., 2021

2019
Maximum Hands-Off Distributed Control for Consensus of Multiagent Systems with Sampled-Data State Observation.
IEEE Trans. Control. Netw. Syst., 2019

Stable Process Approach to Analysis of Systems Under Heavy-Tailed Noise: Modeling and Stochastic Linearization.
IEEE Trans. Autom. Control., 2019

On Sparse Optimal Control for General Linear Systems.
IEEE Trans. Autom. Control., 2019

Sparse optimal feedback control for continuous-time systems.
Proceedings of the 17th European Control Conference, 2019

Maximum Hands-Off Distributed Bearing-Based Formation Control.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Self-Organizing Control Mechanism Based on Collective Decision-Making for Information Uncertainty.
ACM Trans. Auton. Adapt. Syst., 2018

Hierarchical Optimal Control Method for Controlling Large-Scale Self-Organizing Networks.
ACM Trans. Auton. Adapt. Syst., 2018

Sparsity-Constrained Controllability Maximization With Application to Time-Varying Control Node Selection.
IEEE Control. Syst. Lett., 2018

Self-Organizing Control Mechanisms According to Information Confidence for Improving Performance.
Proceedings of the IEEE Global Communications Conference, 2018

Theoretical Error Bounds for Stochastic Linearization of Feedback Systems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Distributed Optimization Framework for Shadow Removal in Multi-Projection Systems.
Comput. Graph. Forum, 2017

Self-organizing wireless sensor networks based on biological collective decision making for treating information uncertainty.
Proceedings of the 13th IEEE International Conference on Wireless and Mobile Computing, 2017

Experimental study on sparse modeling of a diesel engine air path system.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017

Analyzing the effects of transmission line fault on the stochastic model predictive controlled IEEE 30-bus system with uncertain environment.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017

2016
Controlling Large-Scale Self-Organized Networks with Lightweight Cost for Fast Adaptation to Changing Environments.
ACM Trans. Auton. Adapt. Syst., 2016

Noise Response Data Reveal Novel Controllability Gramian for Nonlinear Network Dynamics.
CoRR, 2016

Distributed Optimization for Shadow Removal in Spatial Augmented Reality.
Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, 2016

Nonlinear model reduction by deep autoencoder of noise response data.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Consensus by maximum hands-off distributed control with sampled-data state observation.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Optimality of simulation-based nonlinear model reduction: Stochastic controllability perspective.
Proceedings of the 2016 American Control Conference, 2016

2015
Radiometric Compensation for Cooperative Distributed Multi-Projection System Through 2-DOF Distributed Control.
IEEE Trans. Vis. Comput. Graph., 2015

Dissipativity-Preserving Model Reduction for Large-Scale Distributed Control Systems.
IEEE Trans. Autom. Control., 2015

Selective pattern formation control: Spatial spectrum consensus and Turing instability approach.
Autom., 2015

Clustered model reduction of positive directed networks.
Autom., 2015

Hierarchical Optimal Control Method for Controlling Self-Organized Networks with Light-Weight Cost.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

Replay attack detection in control systems with quantized signals.
Proceedings of the 14th European Control Conference, 2015

Modeling and linearization of systems under heavy-tailed stochastic noise with application to renewable energy assessment.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Delayed feedback selective pattern formation in reaction-diffusion systems.
Proceedings of the 10th Asian Control Conference, 2015

2014
Model Reduction and Clusterization of Large-Scale Bidirectional Networks.
IEEE Trans. Autom. Control., 2014

Enhancing Convergence with Optimal Feedback for Controlled Self-Organizing Networks.
Proceedings of the IEEE 80th Vehicular Technology Conference, 2014

Saddle-node bifurcation and its robustness analysis: A mechanism for inducing pluripotency in stem cell.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Nonlinear reduced order modeling of plasticization cylinders.
Proceedings of the American Control Conference, 2014

2013
On Weak Approximation of Stochastic Differential Equations through Hard Bounds by Mathematical Programming.
SIAM J. Sci. Comput., 2013

Robust bifurcation Analysis of Systems with Dynamic uncertainties.
Int. J. Bifurc. Chaos, 2013

Singular perturbation approximation of semistable linear systems.
Proceedings of the 12th European Control Conference, 2013

An instability condition for uncertain systems toward robust bifurcation analysis.
Proceedings of the 12th European Control Conference, 2013

Dissipativity-preserving model reduction based on generalized singular perturbation.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Robust bifurcation analysis based on the Nyquist stability criterion.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Instability of uncertain large-scale networks.
Proceedings of the 9th Asian Control Conference, 2013

Feedback stabilization of non-uniform spatial pattern in reaction-diffusion systems.
Proceedings of the American Control Conference, 2013

Structured model reduction of interconnected linear systems based on singular perturbation.
Proceedings of the American Control Conference, 2013

Instability criteria for Lur'e systems toward oscillation analysis of uncertain gene networks.
Proceedings of the American Control Conference, 2013

2012
Clustering-based ℌ2-state aggregation of positive networks and its application to reduction of chemical master equations.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Control theoretic approach to stationary iterative methods for large-scale Toeplitz-type equations.
Proceedings of the American Control Conference, 2012

Model reduction of multi-input dynamical networks based on clusterwise controllability.
Proceedings of the American Control Conference, 2012

2011
Oscillation analysis of linearly coupled piecewise affine systems: Application to spatio-temporal neuron dynamics.
Autom., 2011

A linear multi-agent systems approach to diffusively coupled piecewise affine systems: Delay robustness.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Hierarchical decentralized observer design for linearly coupled network systems.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Reaction-diffusion clustering of single-input dynamical networks.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Model order reduction for MIMO linear dynamical networks via Reaction-Diffusion transformation.
Proceedings of the American Control Conference, 2011

2010
Oscillation analysis of linearly coupled piecewise affine systems.
Proceedings of the 13th ACM International Conference on Hybrid Systems: Computation and Control, 2010

Extraction of 1-dimensional reaction-diffusion structure in SISO linear dynamical networks.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Stability and stabilization of switching stochastic differential equations subject to probabilistic state jumps.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Distributed parameter modeling and control of electromagnetic molding machine.
Proceedings of the American Control Conference, 2010

Stability of stochastic systems with probabilistic mode switchings and state jumps.
Proceedings of the American Control Conference, 2010

PI Control System Design for Electromagnetic Molding Machine based on Linear Programing.
Proceedings of the IEEE International Conference on Control Applications, 2010

Machine-based Modeling of Conveyor-type Flowshops with Application to Scheduling and Temperature Control in Slab Reheating Furnace.
Proceedings of the IEEE International Conference on Control Applications, 2010

2009
Control of Quantum Systems Despite Feedback Delay.
IEEE Trans. Autom. Control., 2009

A new expression for the H<sup>2</sup> performance limit based on state-space representation.
Autom., 2009

Controlled invariant feasibility - A general approach to enforcing strong feasibility in MPC applied to move-blocking.
Autom., 2009

Rigorous determination of maximum controlled invariant feasible sets.
Proceedings of the 10th European Control Conference, 2009

An optimization approach to weak approximation of Lévy-driven stochastic differential equations with application to option pricing.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Global feedback stabilization of quantum noiseless subsystems.
Proceedings of the American Control Conference, 2009

2008
Finite Rank Criteria for H<sup>∞</sup> Control of Infinite-Dimensional Systems.
IEEE Trans. Autom. Control., 2008

On standard H<sup>infinity</sup> control problems for systems with infinitely many unstable poles.
Syst. Control. Lett., 2008

Optimal control of linear quantum systems despite feedback delay.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Semi-algebraic problem approach for stability analysis of a class of nonlinear stochastic delay system.
Proceedings of the American Control Conference, 2008

2007
Parameterization of Suboptimal Solutions of the Nehari Problem for Infinite-Dimensional Systems.
IEEE Trans. Autom. Control., 2007

System theory for numerical analysis.
Autom., 2007

Global stabilization of two-dimensional quantum spin systems despite estimation delay.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
A Smith-type Predictor for Non-minimum Phase Infinite-dimensional Plants and its Dual Structure.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005
A new characterization of invariant subspaces of H<sup>2</sup> and applications to the optimal sensitivity problem.
Syst. Control. Lett., 2005

A Hamiltonian-based solution to the mixed sensitivity optimization problem for stable pseudorational plants.
Syst. Control. Lett., 2005

General Solution to Standard H∞Control Problems for a Class of Infinite-dimensional Systems.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004
Optimal wavelet expansion via sampled-data control theory.
IEEE Signal Process. Lett., 2004

2003
Equivalent characterization of invariant subspaces of H<sup>2</sup> and applications to the optimal sensitivity problem.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003


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