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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Vydané v:	IEEE transaction on neural networks and learning systems Ročník 35; číslo 3; s. 1 - 14
Hlavní autori:	Wei, Qinglai, Li, Tao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.03.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
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