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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transaction on neural networks and learning systems Ročník 35; číslo 3; s. 1 - 14
Hlavní autoři:	Wei, Qinglai, Li, Tao
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.03.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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 přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!