Event‐triggered guaranteed cost fault‐tolerant optimal tracking control for uncertain nonlinear system via adaptive dynamic programming

DOI10.1002/rnc.5403zbMath1526.93151OpenAlexW3126482228MaRDI QIDQ6089819

Deyin Yao, Ren-Quan Lu, Zijie Guo, Weiwei Bai, Hongyi Li

Publication date: 13 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.5403

zbMATH Keywords

fault-tolerant controladaptive dynamic programmingsystem uncertaintiesdynamic event-triggered mechanismguaranteed cost tracking control

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Dynamic programming (90C39) Discrete event control/observation systems (93C65)

Related Items (10)

Dynamic event-triggered distributed guaranteed cost FTC scheme for nonlinear interconnected systems via ADP approach ⋮ Event-triggered fault-tolerant control for input-constrained nonlinear systems with mismatched disturbances via adaptive dynamic programming ⋮ Stability of nonlinear distributed delay system with parameter uncertainties: Integral‐based event‐triggered impulsive control strategy ⋮ Guaranteed cost fault-tolerant control for uncertain stochastic systems via dynamic event-triggered adaptive dynamic programming ⋮ Adaptive fault‐tolerant optimized formation control for perturbed nonlinear multiagent systems ⋮ Robust tracking control for uncertain Euler–Lagrange systems via dynamic event‐triggered and self‐triggered ADP ⋮ PDE‐based event‐triggered containment control of multi‐agent systems with input delay under spatial boundary communication ⋮ Modeling and vibration control for a nonlinear three‐dimensional flexible moving string system with input quantization and event‐triggering ⋮ Robust tracking control with reinforcement learning for nonlinear‐constrained systems ⋮ Learning‐based model predictive control under value iteration with finite approximation errors

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