Affiliation:
1. School of Automation Nanjing University of Science and Technology Nanjing China
2. School of Mechanical Engineering & Automation Wuhan Textile University Wuhan China
3. Department of Research and Development Hubei Xiangcheng Institute of Intelligent Mechatronics Xianning China
Abstract
AbstractThis article pursues the robust consensus for linear discrete‐time multi‐agent systems with unknown dynamics and random uncertain channels. Stochastic multiplicative uncertainties depending on relative states of agents inevitably appear in the signal transmission channels. To handle these uncertainties, the distributed robust controllers are designed. Before designing this robust controller, the optimal control problem of a single‐agent system is considered first. Based on the technology of adaptive dynamic programming, a model‐free off‐policy algorithm is proposed to solve the optimal controller for every agent with fully unknown system dynamics. According to the theory of mean square stability, it is revealed that the distributed robust controller can be obtained by using the optimal controller of the single‐agent system and other related parameters without relying on the dynamic information of the systems. Besides, the relationship between uncertainty and the robust controller is described by a sufficient condition. Finally, to demonstrate the effectiveness of the theoretical analysis, a numerical example is presented.
Funder
Science and Technology Program of Hubei Province
National Natural Science Foundation of China
Reference32 articles.
1. Game theoretical analysis on capacity configuration for microgrid based on multi‐agent system;Jin S;Int J Electr Power Energy Syst,2021
2. Graph neural network and reinforcement learning for multi‐agent cooperative control of connected autonomous vehicles
3. A new multi‐agent feature wrapper machine learning approach for heart disease diagnosis;Elhoseny M;Comput, Mater Contin,2021
4. Fully distributed consensus control for a class of disturbed second‐order multi‐agent systems with directed networks;Wang H;Automatica,2021
5. Distributed fixed‐time consensus for nonlinear heterogeneous multi‐agent systems;Du H;Automatica,2020
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