Event-Driven Guaranteed Cost Control Design for Nonlinear Systems With Actuator Faults via Reinforcement Learning Algorithm

This article presents a novel event-driven guaranteed cost control method for nonlinear systems subject to actuator faults. For the purpose of handling the problem of actuator faults and obtaining the event-driven approximate optimal guaranteed cost control approach for general nonlinear dynamics, t...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on systems, man, and cybernetics. Systems Ročník 50; číslo 11; s. 4135 - 4150
Hlavní autoři:	Zhang, Huaguang, Liang, Yuling, Su, Hanguang, Liu, Chong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.11.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Actuators Algorithms Approximation algorithms Control methods Control systems Cost function Dynamical systems Event-driven control fault tolerant control Faults guaranteed cost control Heuristic algorithms Machine learning Neural networks Nonlinear control Nonlinear dynamics Nonlinear systems Process control reinforcement learning (RL) Sliding mode control sliding mode control (SMC)
ISSN:	2168-2216, 2168-2232
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!