Frontiers of Information Technology & Electronic Engineering
>> 2022,
Volume 23,
Issue 7
doi:
10.1631/FITEE.2200001
Multi-agent differential game based cooperative synchronization control using a data-driven method
Affiliation(s): School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China; Institute of Artificial Intelligence, Beihang University, Beijing 100191, China; less
Received: 2022-01-03
Accepted: 2022-07-21
Available online: 2022-07-21
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Abstract
This paper studies the multi-agent based problem and its application to cooperative . A systematized formulation and analysis method for the multi-agent is proposed and a methodology based on the (RL) technique is given. First, it is pointed out that typical distributed controllers may not necessarily lead to global Nash equilibrium of the in general cases because of the coupling of networked interactions. Second, to this end, an alternative local Nash solution is derived by defining the best response concept, while the problem is decomposed into local s. An off-policy RL algorithm using neighboring interactive data is constructed to update the controller without requiring a system model, while the stability and robustness properties are proved. Third, to further tackle the dilemma, another configuration is investigated based on modified coupling index functions. The distributed solution can achieve global Nash equilibrium in contrast to the previous case while guaranteeing the stability. An equivalent parallel RL method is constructed corresponding to this Nash solution. Finally, the effectiveness of the learning process and the stability of are illustrated in simulation results.
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