Adaptive dynamic programming‐based event‐triggered optimal tracking control

DOI10.1002/rnc.5687zbMath1527.93232OpenAlexW3181927614MaRDI QIDQ6071521

Unnamed Author, Derong Liu, Biao Luo, Shan Xue

Publication date: 23 November 2023

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.5687

zbMATH Keywords

tracking controlevent-triggered controladaptive dynamic programmingintegral reinforcement learning

Mathematics Subject Classification ID

Dynamic programming in optimal control and differential games (49L20) Adaptive control/observation systems (93C40) Discrete event control/observation systems (93C65)

Related Items

Robust tracking control for uncertain Euler–Lagrange systems via dynamic event‐triggered and self‐triggered ADP

Cites Work

• Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems
• Optimal tracking control of nonlinear partially-unknown constrained-input systems using integral reinforcement learning
• Integral reinforcement learning and experience replay for adaptive optimal control of partially-unknown constrained-input continuous-time systems
• Adaptive dynamic programming with applications in optimal control
• Event-triggered single-network ADP method for constrained optimal tracking control of continuous-time non-linear systems
• Neural network robust tracking control with adaptive critic framework for uncertain nonlinear systems
• Computationally efficient simultaneous policy update algorithm for nonlinearH_∞state feedback control with Galerkin's method
• Online adaptive algorithm for optimal control with integral reinforcement learning
• Event-triggered optimal tracking control of nonlinear systems
• An adaptive critic approach to event‐triggered robust control of nonlinear systems with unmatched uncertainties
• Neural critic learning toward robust dynamic stabilization
• Safe reinforcement learning for dynamical games
• Self-Learning Optimal Regulation for Discrete-Time Nonlinear Systems Under Event-Driven Formulation
• Dynamic intermittent Q‐learning–based model‐free suboptimal co‐design of ‐stabilization
• Event-Triggered Real-Time Scheduling of Stabilizing Control Tasks