期刊
IEEE TRANSACTIONS ON FUZZY SYSTEMS
卷 29, 期 6, 页码 1601-1614出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2020.2982618
关键词
Observers; Nonlinear systems; Control systems; Multi-agent systems; Directed graphs; Stochastic processes; Bipartite tracking control; distributed reduced-order observer; fuzzy logic systems (FLS); network systems
资金
- National Natural Science Foundation of China [61703051]
- Qatar National Research Fund [NPRP9-166-1-031]
- Project of Liaoning Province Science and Technology Program [2019-KF-03-13]
This article addresses the issue of distributed observer-based event-triggered bipartite tracking control for stochastic nonlinear multiagent systems, proposing a novel approach with reduced-order observer and event-triggered mechanism. The designed bipartite tracking controller utilizes fuzzy logic systems and the backstepping approach, with theoretical proofs for its effectiveness. A simulation example is provided to demonstrate the effectiveness of the proposed scheme.
This article studies the distributed observer-based event-triggered bipartite tracking control problem for stochastic nonlinear multiagent systems with input saturation. First, different from conventional observers, we construct a novel distributed reduced-order observer to estimate unknown states for the stochastic nonlinear systems. Then, an event-triggered mechanism with relative threshold is introduced to reduce the burden of communication. In addition, the bipartite tracking controller is proposed for stochastic multiagent systems by using fuzzy logic systems and the backstepping approach. Meanwhile, it is proved that the designed method can guarantee that all the signals in the closed-loop systems are bounded in probability, and the distributed consensus tracking errors can converge to a small neighborhood of the origin via the Lyapunov stability theory. Finally, a simulation example is given to prove the effectiveness of the designed scheme.
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