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Journal of Zhejiang University SCIENCE C 1998 Vol.-1 No.-1 P.

http://doi.org/10.1631/FITEE.2200010


Optimal synchronization control for multiagent systems with input saturation: a nonzero-sum game


Author(s):  Hongyang LI, Qinglai WEI

Affiliation(s):  School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China; more

Corresponding email(s):   lihongyang2019@ia.ac.cn, qinglai.wei@ia.ac.cn

Key Words:  Optimal synchronization control, Multiagent systems, Nonzero-sum game, Adaptive dynamic programming, Input saturation, Off-policy reinforcement learning, Policy iteration


Hongyang LI, Qinglai WEI. Optimal synchronization control for multiagent systems with input saturation: a nonzero-sum game[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .

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Abstract: 
This paper presents a novel optimal synchronization control method for multiagent systems with input saturation. The multiagent game theory is introduced to transform the optimal synchronization control problem into a multiagent nonzero-sum game. Then, the Nash equilibrium can be achieved by solving the coupled HamiltonJacobi-Bellman (HJB) equations with nonquadratic input energy terms. A novel off-policy reinforcement learning method is presented to obtain the Nash equilibrium solution without the system models, and the critic neural networks (NNs) and actor NNs are introduced to implement the presented method. Theoretical analysis is provided, which shows that the iterative control laws converge to the Nash equilibrium. The simulation result shows the good performance of the presented method.

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