This paper proposes an sfnn-adhdp algorithm to approximate the solution of the highly coupled HJB equation for the optimal consensus control problem of first-order nonlinear multi-agent systems. Optimal consensus cont...
详细信息
ISBN:
(数字)9789887581581
ISBN:
(纸本)9798350366907
This paper proposes an sfnn-adhdp algorithm to approximate the solution of the highly coupled HJB equation for the optimal consensus control problem of first-order nonlinear multi-agent systems. Optimal consensus control of multi-agent systems is achieved by innovatively combining stochastic fuzzy neural networks with adaptive dynamic programming. The proposed sfnn-adhdp algorithm only requires the topology information of multi-agent systems for optimal consensus *** theory related knowledge and consensus problem modeling for the optimal consensus control problem of multi-agent systems are firstly presented in this paper. Secondly, the specific algorithm structure and implementation details of the sfnn-adhdp are proposed. Finally, a set of simulation experiments are conducted to demonstrate the excellent anti-interference ability and superiority of the proposed algorithm, comparing the sfnn network with the ANFIS network by attempting to incorporate Gaussian white noise and other methods into the network.
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