Model-free adaptive dynamic event-triggered robust control for unknown nonlinear systems using iterative neural dynamic programming

DOI10.1016/j.ins.2023.119866OpenAlexW4388562407MaRDI QIDQ6192293

Xiang-Peng Xie, Xin Tong, Zhan-Shan Wang, Zhongyang Ming, Dazhong Ma

Publication date: 12 February 2024

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2023.119866

zbMATH Keywords

optimal controlmodel-freeiterative neural dynamic programmingadaptive dynamic event-triggered

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Dynamic programming in optimal control and differential games (49L20) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Discrete event control/observation systems (93C65)

Cites Work

• Optimal tracking control of nonlinear partially-unknown constrained-input systems using integral reinforcement learning
• Model-free event-triggered control algorithm for continuous-time linear systems with optimal performance
• Optimization of sampling intervals for tracking control of nonlinear systems: a game theoretic approach
• Adaptive dynamic programming for security of networked control systems with actuator saturation
• Multi-step heuristic dynamic programming for optimal control of nonlinear discrete-time systems
• Novel iterative neural dynamic programming for data-based approximate optimal control design
• Dynamic Triggering Mechanisms for Event-Triggered Control
• Event-Triggered Nonlinear Systems With Stochastic Dynamics, Transmission Times, and Protocols
• Robust Nonlinear MPC With Variable Prediction Horizon: An Adaptive Event-Triggered Approach
• Periodic event-based robust output regulation for a class of uncertain linear systems with inter-event analysis

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