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具有渐近零解和积分二次约束的非线性领导者跟随多智能体系统的全分布式自适应容错滑模控制

Fully Distributed Adaptive Fault-Tolerant Sliding-Mode Control for Nonlinear Leader-Following Multiagent Systems With ANASs and IQCs.

作者信息

Guo Xiang-Gui, Tan De-Chu, Ahn Choon Ki, Wang Jian-Liang

出版信息

IEEE Trans Cybern. 2022 May;52(5):2763-2774. doi: 10.1109/TCYB.2020.3023747. Epub 2022 May 19.

Abstract

In this article, by combining the skills of the pseudo-PID sliding-mode control (SMC) method with adaptive control techniques, two novel fully distributed adaptive fault-tolerant control strategies are proposed to handle the leader-following consensus problem of nonlinear multiagent systems with integral quadratic constraints (IQCs) and actuator faults, with and without asymmetric nonlinear actuator saturations (ANASs). For the no-saturation case, the designed controller has a simple structure and low computation but requires the crude information of the system model. To overcome this weakness, for the saturation case, the controller is redesigned by introducing a novel anti-windup compensator and fuzzy-logic systems (FLSs), where the problem of reducing computational complexity is also considered. The controllers only need local neighbor information instead of global topology information and ensure the practical consensus of the leader-following systems in finite time. Finally, simulation results demonstrate the effectiveness of the proposed approaches.

摘要

在本文中,通过将伪比例积分微分(PID)滑模控制(SMC)方法的技巧与自适应控制技术相结合,提出了两种新颖的完全分布式自适应容错控制策略,以处理具有积分二次约束(IQC)和执行器故障、有无非对称非线性执行器饱和(ANAS)的非线性多智能体系统的 leader-following 一致性问题。对于无饱和情况,所设计的控制器结构简单、计算量小,但需要系统模型的粗略信息。为克服这一缺点,对于饱和情况,通过引入一种新颖的抗饱和补偿器和模糊逻辑系统(FLS)对控制器进行重新设计,其中还考虑了降低计算复杂度的问题。这些控制器仅需要局部邻居信息而非全局拓扑信息,并确保 leader-following 系统在有限时间内实现实际一致性。最后,仿真结果证明了所提方法的有效性。

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