Unified control of multi-agent system with input disturbance

Zizhuo Guo; Yang Yang; Jinrong Ma

doi:10.1117/12.2639482

27 June 2022 Unified control of multi-agent system with input disturbance

Zizhuo Guo, Yang Yang, Jinrong Ma

Proceedings Volume 12253, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022); 1225308 (2022) https://doi.org/10.1117/12.2639482
Event: Second International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022), 2022, Qingdao, China

Abstract

In this paper, an event triggered single network adaptive dynamic programming method is designed for multi-agent systems with input disturbances, and the optimal consistency control problem of the system is studied. When designing the controller, the coupling gain is multiplied by the analytical solution of the system cost function to construct a control strategy against the disturbance term. Then the input disturbance term is replaced by a neural network model, which is adjusted and restricted with the executive network. The optimal control strategy can minimize the cost function on the premise of the maximum input disturbance. The evaluation execution disturbance network shares the weight estimation rule of the evaluation network, and its update time is determined by the event trigger condition, which reasonably avoids unnecessary calculation in network learning. Simulation results show that this method can not only meet the expected results of the system, but also reduce the waste of information resources in the communication process.

Citation Download Citation

Zizhuo Guo, Yang Yang, and Jinrong Ma "Unified control of multi-agent system with input disturbance", Proc. SPIE 12253, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022), 1225308 (27 June 2022); https://doi.org/10.1117/12.2639482

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