Title of Paper:Distributed Zero-Sum Differential Game for Multi-Agent Nonlinear Systems via Adaptive Dynamic Programming

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Affiliation of Author(s):自动化学院

Journal:Chinese Control Conf., CCC

Abstract:In this paper, the distributed zero-sum differential game problem for multi-agent nonlinear systems is investigated by using adaptive dynamic programming (ADP) technique, which brings together the distributed control, zero-sum differential graphical game and ADP. To find the cooperative Nash-equilibrium solutions of the associated coupled Hamilton-Jacobi-Isaacs (HJI) equations, the ADP technique is employed, in which a critic network is constructed to approximate the cooperative cost function online with a novel updating law. By utilizing the Lyapunov direct method, the closed-loop system and weight estimation errors are guaranteed to be uniformly ultimately bounded (UUB). Finally, simulation results demonstrate the effectiveness of the proposed method. © 2018 Technical Committee on Control Theory, Chinese Association of Automation.

ISSN No.:1934-1768

Translation or Not:no

Date of Publication:2018-10-05

Co-author:Sun, Jingliang

Correspondence Author:lcs