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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Bibliographic Details

Published in:	Chinese Control Conference pp. 2393 - 2397
Main Authors:	Lin, Mingduo, Zhao, Bo, Liu, Derong, Zhang, Yongwei
Format:	Conference Proceeding
Language:	English
Published:	Technical Committee on Control Theory, Chinese Association of Automation 25.07.2022
Subjects:	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
Online Access:	Get full text
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