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Optimal synchronization control for multiagent systems with input saturation: a nonzero-sum game
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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): .
@article{title="Optimal synchronization control for multiagent systems with input saturation: a nonzero-sum game",
author="Hongyang LI, Qinglai WEI",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="-1",
number="-1",
pages="",
year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2200010"
}
%0 Journal Article
%T Optimal synchronization control for multiagent systems with input saturation: a nonzero-sum game
%A Hongyang LI
%A Qinglai WEI
%J Journal of Zhejiang University SCIENCE C
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%@ 2095-9184
%D 1998
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2200010
TY - JOUR
T1 - Optimal synchronization control for multiagent systems with input saturation: a nonzero-sum game
A1 - Hongyang LI
A1 - Qinglai WEI
J0 - Journal of Zhejiang University Science C
VL - -1
IS - -1
SP -
EP -
%@ 2095-9184
Y1 - 1998
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2200010
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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