Differential graphical game‐based multi‐agent tracking control using integral reinforcement learning

Author:

Guo Yaning1,Sun Qi1ORCID,Wang Yintao1,Pan Quan1

Affiliation:

1. Northwestern Polytechnical University Xi'an Shaanxi P. R. China

Abstract

AbstractThis paper studies the cooperative tracking control problem of interacted multi‐agent systems (MASs) under undirected communication. Based on differential graphical game theory, the MAS tracking control problem is formulated as an infinite horizon cooperative differential graphical game‐theoretic tracking control framework, where a multi‐objective optimization problem is designed and then cast into a Pareto‐equivalent single‐objective optimization problem using a scalarization method. Necessary and sufficient conditions for the existence of the Pareto‐optimal strategy to the game theoretic tracking control are established, where it has been proven that the solution to the integral Bellman optimality equation leads to Pareto‐optimal strategy. Then, an off‐policy integral reinforcement learning scheme to find optimal control strategy using a pure data‐driven manner is developed, which consumes less computation efforts than the traditional learning scheme. Simulated results are conducted to validate the effectiveness of the proposed game and IRL‐based tracking control method.

Funder

Aeronautical Science Foundation of China

National Natural Science Foundation of China

Natural Science Basic Research Program of Shaanxi Province

Publisher

Institution of Engineering and Technology (IET)

Reference19 articles.

1. Pareto optimality in multiobjective problems

2. Distributed consensus protocol for multi‐agent differential graphical games;Zhang S.;IEEE Trans. Circuits Syst. II Express Briefs,2023

3. The regular convex cooperative linear quadratic control problem

4. Necessary and sufficient conditions for pareto optimality in infinite horizon cooperative differential games;Reddy P.V.;IEEE Trans. Autom. Control,2010

5. Necessary and Sufficient Conditions for Pareto Optimality in Infinite Horizon Cooperative Differential Games

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