Constrained-Cost Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems

For discrete-time nonlinear systems, this research is concerned with optimal control problems (OCPs) with constrained cost, and a novel value iteration with constrained cost (VICC) method is developed to solve the optimal control law with the constrained cost functions. The VICC method is initialize...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems Jg. 35; H. 3; S. 1 - 14
Hauptverfasser:	Wei, Qinglai, Li, Tao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.03.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptive control Adaptive dynamic programming (ADP) approximate dynamic programming constrained cost Control theory Convergence Cost function Costs Discrete time systems Dynamic programming Feasibility Neural networks Nonlinear control Nonlinear systems Optimal control Performance analysis reinforcement learning value iteration (VI)
ISSN:	2162-237X, 2162-2388, 2162-2388
Online-Zugang:	Volltext
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