An Efficient Impulsive Adaptive Dynamic Programming Algorithm for Stochastic Systems

In this study, a novel general impulsive transition matrix is defined, which can reveal the transition dynamics and probability distribution evolution patterns for all system states between two impulsive "events," instead of two regular time indexes. Based on this general matrix, the polic...

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Vydané v:	IEEE transactions on cybernetics Ročník 53; číslo 9; s. 5545 - 5559
Hlavní autori:	Liang, Mingming, Wang, Yonghua, Liu, Derong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.09.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptive algorithms Adaptive dynamic programming (ADP) Aerospace electronics Algorithms Approximation algorithms Control theory Convergence Dynamic programming Heuristic algorithms impulsive stochastic systems Iterative methods Markov processes optimal control Performance indices policy iteration Probability distribution Stability analysis Stochastic systems transition matrix
ISSN:	2168-2267, 2168-2275, 2168-2275
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