Policy Iteration Adaptive Dynamic Programming for Optimal Control of Multi-Player Stackelberg-Nash Games

This paper investigates multi-player Stackelberg-Nash (SN) game problems of nonlinear continuous-time systems via policy iteration adaptive dynamic programming (ADP). To represent different hierarchical roles, the appropriate cost functions of the leader and each follower are designed. By introducin...

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Vydané v:	Chinese Control Conference s. 2393 - 2397
Hlavní autori:	Lin, Mingduo, Zhao, Bo, Liu, Derong, Zhang, Yongwei
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	Technical Committee on Control Theory, Chinese Association of Automation 25.07.2022
Predmet:	Adaptive Dynamic Programming Adaptive systems Approximation algorithms Artificial neural networks Cost function Games Heuristic algorithms Multi-Player systems Neural Networks Optimal control Stackelberg Games
ISSN:	1934-1768
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