Concurrent Learning Critic-Only NN-Based Robust Approximate Optimal Control of Nonlinear Systems With Experimental Verification

This article addresses the optimal control problem for a class of continuous-time nonlinear systems with time-varying bounded disturbances. A novel approximate optimal control policy that incorporates a continuous robust control command is developed within the framework of adaptive dynamic programmi...

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Vydáno v:	IEEE transactions on industrial electronics (1982) Ročník 72; číslo 8; s. 8492 - 8502
Hlavní autoři:	Zhang, Haichao, Wang, Xin, Xiao, Bing, Wu, Xiwei, Li, Bo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.08.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Adaptive dynamic programming Closed loops concurrent learning Control systems Control theory Cost function Dynamic programming Iron Learning Mathematical models Neural networks Nonlinear control Nonlinear systems Optimal control Optimization perturbed control system robust approximate optimal control Robust control Space vehicles Stability analysis Switches Time-varying systems Uncertainty wheeled mobile robot
ISSN:	0278-0046, 1557-9948
On-line přístup:	Získat plný text
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