Specified convergence rate guaranteed output tracking of discrete-time systems via reinforcement learning

DOI10.1016/j.automatica.2023.111490WikidataQ130008935 ScholiaQ130008935MaRDI QIDQ6119751

Chengjie Huang, Ci Chen, Kan Xie, Sheng-Li Xie, Frank L. Lewis

Publication date: 20 February 2024

Published in: Automatica (Search for Journal in Brave)

zbMATH Keywords

discrete-time systemsreinforcement learningrobust output regulationspecified convergence rate

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05) Asymptotic stability in control theory (93D20)

Cites Work

• Unnamed Item
• Unnamed Item
• Output-feedback adaptive optimal control of interconnected systems based on robust adaptive dynamic programming
• Optimal model-free output synchronization of heterogeneous systems using off-policy reinforcement learning
• Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics
• Reinforcement \(Q\)-learning for optimal tracking control of linear discrete-time systems with unknown dynamics
• Model-free \(Q\)-learning designs for linear discrete-time zero-sum games with application to \(H^\infty\) control
• Reinforcement learning for optimal feedback control. A Lyapunov-based approach
• Adaptive optimal output regulation of linear discrete-time systems based on event-triggered output-feedback
• Model-free optimal control of discrete-time systems with additive and multiplicative noises
• Homotopic policy iteration-based learning design for unknown linear continuous-time systems
• Off-policy learning for adaptive optimal output synchronization of heterogeneous multi-agent systems
• Robust output regulation of discrete-time linear systems by quantized output feedback control
• Adaptive Dynamic Programming for Stochastic Systems With State and Control Dependent Noise
• Linear Quadratic Tracking Control of Partially-Unknown Continuous-Time Systems Using Reinforcement Learning
• Continuous-Time Robust Dynamic Programming
• Reinforcement Learning-Based Adaptive Optimal Exponential Tracking Control of Linear Systems With Unknown Dynamics
• Nonlinear Output Regulation
• Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic Systems
• Robust Output Regulation and Reinforcement Learning-Based Output Tracking Design for Unknown Linear Discrete-Time Systems

This page was built for publication: Specified convergence rate guaranteed output tracking of discrete-time systems via reinforcement learning