Optimal control for continuous-time Markov jump singularly perturbed systems: a hybrid reinforcement learning scheme
type: Item
instance of: scholarly article
title: Optimal control for continuous-time Markov jump singularly perturbed systems: a hybrid reinforcement learning scheme
zbMATH Open document ID: 1539.93202
author: Yaling Huang
author: Wenqian Li
author: Yun Wang
author: Hao Shen
published in: Journal of the Franklin Institute
publication date: 2024-05-22T00:00:00Z
Mathematics Subject Classification ID: 93E20
Mathematics Subject Classification ID: 93C40
Mathematics Subject Classification ID: 93C70
zbMATH DE Number: 7852049
zbMATH Keywords: Markov jump systems
zbMATH Keywords: singularly perturbed systems
zbMATH Keywords: hybrid iteration Algorithm
zbMATH Keywords: reinforcement learning. statement of contribution
MaRDI profile type: Publication
cites work: Dynamic quantized control for switched fuzzy singularly perturbation systems with event-triggered protocol
cites work: Data-driven near optimization for fast sampling singularly perturbed systems
cites work: Reliable Control of Fuzzy Singularly Perturbed Systems and Its Application to Electronic Circuits
cites work: Dynamic event-based mixed \(H_\infty\) and dissipative asynchronous control for Markov jump singularly perturbed systems
cites work: Reduced-dimensional reinforcement learning control using singular perturbation approximations
cites work: Adaptive composite suboptimal control for linear singularly perturbed systems with unknown slow dynamics
cites work: Suboptimal control for nonlinear slow-fast coupled systems using reinforcement learning and Takagi-Sugeno fuzzy methods
cites work: Almost Sure Stability and Stabilization of Markovian Jump Systems With Stochastic Switching
cites work: Composite antidisturbance \(\mathcal{H}_\infty\) control for hidden Markov jump systems with multi-sensor against replay attacks
cites work: A novel learning-based asynchronous sliding mode control for discrete-time semi-Markov jump systems
cites work: Sensor fault estimation and fault-tolerant control for a class of Takagi-Sugeno Markovian jump systems with partially unknown transition rates based on the reduced-order observer
cites work: Sliding mode control for singularly perturbed Markov jump descriptor systems with nonlinear perturbation
cites work: Dissipative fault-tolerant control for nonlinear singular perturbed systems with Markov jumping parameters based on slow state feedback
cites work: Interval type-2 fuzzy passive filtering for nonlinear singularly perturbed PDT-switched systems and its application
cites work: Nonstationary quantized control for discrete-time Markov jump singularly perturbed systems against deception attacks
cites work: \(H_\infty\) control for singularly perturbed jumping delayed systems and its application in a tunnel diode circuit model
cites work: Q4626283
cites work: Adaptive optimal control for continuous-time linear systems based on policy iteration
cites work: Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics
cites work: Online reinforcement learning for a class of partially unknown continuous-time nonlinear systems via value iteration
cites work: Reinforcement learning and cooperative \(H_\infty\) output regulation of linear continuous-time multi-agent systems
cites work: Reinforcement Learning and Feedback Control: Using Natural Decision Methods to Design Optimal Adaptive Controllers
cites work: Parallel computation of the solutions of coupled algebraic Lyapunov equations
cites work: Value iteration and adaptive dynamic programming for data-driven adaptive optimal control design
cites work: Asynchronous sliding mode control of singularly perturbed semi-Markovian jump systems: application to an operational amplifier circuit
DOI: 10.1016/J.JFRANKLIN.2024.106771
description: scientific article; zbMATH DE number 7852049