Fault-Tolerant Fuzzy Formation Control for a Class of Nonlinear Multiagent Systems Under Directed and Switching Topology

Chao Deng, Weiwei Che
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引用次数: 23

Abstract

The fault-tolerant formation control problem of a class of nonlinear multiagent systems with actuator/sensor faults under directed and switching network topology is addressed in this article. The main contributions are as follows: 1) the developed controller is effective to compensate for actuator/sensor faults and unknown nonlinearity simultaneously and 2) in contrast to the existing fault-tolerant formation control results, the more general directed and switching network topology is considered. In particular, by using a fuzzy logic system to approximate unknown nonlinearity and by introducing fault estimators to estimate actuator/sensor faults, a novel distributed fuzzy formation controller is developed. By virtue of introducing a modification technique in adaptive law, the phenomenon of strictly increase in adaptive law caused by actuator/sensor faults and unknown nonlinearity can be avoided. In addition, the uniformly ultimately bounded of the formation errors can be shown by introducing a novel Lyapunov function and a new analysis method. The efficiency of the developed method can be shown by an illustrative example demonstrates.
有向交换拓扑下一类非线性多智能体系统的容错模糊编队控制
研究了有向网络和交换网络拓扑下一类具有致动器/传感器故障的非线性多智能体系统的容错群体控制问题。主要贡献如下:1)开发的控制器可以有效地同时补偿执行器/传感器故障和未知非线性;2)与现有的容错编队控制结果相比,考虑了更一般的有向网络和交换网络拓扑。特别地,利用模糊逻辑系统来逼近未知非线性,并引入故障估计器来估计执行器/传感器故障,提出了一种新型的分布式模糊编队控制器。通过引入自适应律的修改技术,避免了执行器/传感器故障和未知非线性导致的自适应律严格增大的现象。此外,通过引入一种新的李雅普诺夫函数和一种新的分析方法,可以得到地层误差的一致最终有界。通过算例说明了该方法的有效性。
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来源期刊
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0.00%
发文量
1
审稿时长
6.0 months
期刊介绍: The scope of the IEEE Transactions on Systems, Man, and Cybernetics: Systems includes the fields of systems engineering. It includes issue formulation, analysis and modeling, decision making, and issue interpretation for any of the systems engineering lifecycle phases associated with the definition, development, and deployment of large systems. In addition, it includes systems management, systems engineering processes, and a variety of systems engineering methods such as optimization, modeling and simulation.
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