Reinforcement learning-based optimal control for Markov jump systems with completely unknown dynamics
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Publication:6659172
DOI10.1016/j.automatica.2024.111886MaRDI QIDQ6659172
Xiongtao Shi, Chenglong Du, Yan-Jie Li, Guangdeng Zong, Weihua Gui, Chao-Yang Chen
Publication date: 8 January 2025
Published in: Automatica (Search for Journal in Brave)
optimal controlreinforcement learningcoupled algebraic Riccati equationMarkov jump systemsparallel policy iteration
Cites Work
- Value iteration and adaptive dynamic programming for data-driven adaptive optimal control design
- Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics
- Disturbance attenuation and rejection for stochastic Markovian jump system with partially known transition probabilities
- Dissipative output feedback tracking control of Markov jump systems under compensation scheme
- Model-free optimal control of discrete-time systems with additive and multiplicative noises
- Online reinforcement learning multiplayer non-zero sum games of continuous-time Markov jump linear systems
- Finite-time asynchronous sliding mode control for Markovian jump systems
- A novel iterative algorithm for solving coupled Riccati equations
- The linear quadratic optimal control problem for discrete-time Markov jump linear singular systems
- Linear Quadratic Tracking Control of Partially-Unknown Continuous-Time Systems Using Reinforcement Learning
- Controllability, stabilizability, and continuous-time Markovian jump linear quadratic control
- Numerical solution of the state dependent noise problem
- A Descriptor System Approach to Stability and Stabilization of Discrete-Time Switched PWA Systems
- Lyapunov iterations for optimal control of jump linear systems at steady state
- An Improved Homogeneous Polynomial Approach for Adaptive Sliding-Mode Control of Markov Jump Systems With Actuator Faults
- Adaptive Tracking Control of Hybrid Switching Markovian Systems with Its Applications
- Reinforcement learning‐based adaptive optimal tracking algorithm for Markov jump systems with partial unknown dynamics
- An Inversion-Free Iterative Algorithm for Riccati Matrix Equations in Discrete-Time Markov Jump Systems
- Dissipativity-based finite-time asynchronous output feedback control for wind turbine system via a hidden Markov model
- Self-triggered finite-time control for discrete-time Markov jump systems
- Probabilistic Event-Triggered Policy for Extended Dissipative Finite-Time Control of MJSs under Cyber-Attacks and Actuator Failures
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