Predefined-Time Consensus of Nonlinear Multi-Agent Input Delay/Dynamic Event-Triggered Under Switching Topology

被引:10
作者
Ma, Xiaolu [1 ]
Tan, Yibo [1 ]
Mei, Hong [2 ]
机构
[1] Anhui Univ Technol, Sch Elect & Informat Engn, Maanshan 243002, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Coll Aeronaut, Nanjing 210000, Peoples R China
基金
中国国家自然科学基金;
关键词
Convergence; Delays; Heuristic algorithms; Topology; Consensus control; Nonlinear dynamical systems; Switches; Multi-agent systems; Event detection; Multi-agent systems (MASs); consensus control; the nonlinear uncertain system; input delay; switching topologies; dynamic event-triggered control; predefined-time consensus control; STATE CONSTRAINTS; SYSTEMS; STABILIZATION;
D O I
10.1109/ACCESS.2023.3258547
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The consensus control problem of multi-agent systems (MASs) is studied. Firstly, a predefined-time consensus control algorithm is proposed for nonlinear uncertain systems with the input delay and switching topology. Then, the problem of resource consumption is considered, a dynamic event-triggered predefined-time consensus control algorithm is presented by introducing internal dynamic variables, which can make the MASs achieve consensus in the preset time. The correctness of the algorithm is proved by algebraic graph theory and Lyapunov theory, and there is no Zeno behavior. Simulation comparison experiments verify the effectiveness and superiority of the proposed algorithm. Compared with the finite-time control algorithm, the convergence time of this algorithm is independent of the initial state. The upper bound of the system convergence time can be set by selecting a time parameter. Compared with the fixed-time control algorithm, the convergence time of this algorithm is independent of the controller parameters, only related to a single parameter, the setting is simple, and the estimated convergence time is less conservative. Compared with the static triggering mechanism, the dynamic triggering mechanism can avoid a large number of triggering.
引用
收藏
页码:29883 / 29895
页数:13
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