Fully distributed practical fixed-time fault-tolerant consensus of nonlinear multiagent systems

IF 3.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-09-16 DOI:10.1016/j.jfranklin.2024.107275
Shengli Du, Jin Han, Hao-Yuan Sun, Hong-Gui Han, Junfei Qiao
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Abstract

In this article, the practical fixed-time fault-tolerant consensus problem of a class of first-order nonlinear multiagent systems with actuator faults is investigated. Owing to the existence of uncertain actuator failures (multiplicative faults and additive faults) and non-linearities, it is challenging to study the fixed-time consensus problem of such multiagent systems in a fully distributed approach. To get over this challenge, a fully distributed adaptive protocol that utilizes adaptive techniques is proposed. Under this control protocol, multiagent systems can achieve consensus, and by adjusting controller parameters, the consensus error can converge to the acceptable bounded region in a fixed time. In addition, due to the introduction of adaptive parameters, the design of the control protocol is not dependent on any global network topology information, which means the control protocol is fully distributed. Therefore, the proposed scheme has better scalability and wider applicability. Finally, the simulation results are proposed to validate the fault-tolerant ability and fully distributed characteristics of the presented scheme.

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非线性多代理系统的全分布式实用固定时间容错共识
本文研究了一类具有执行器故障的一阶非线性多代理系统的实用固定时间容错共识问题。由于存在不确定的执行器故障(乘法故障和加法故障)和非线性,用全分布式方法研究这类多代理系统的固定时间共识问题具有挑战性。为了克服这一挑战,我们提出了一种利用自适应技术的全分布式自适应协议。在这种控制协议下,多代理系统可以达成共识,并且通过调整控制器参数,共识误差可以在固定时间内收敛到可接受的有界区域。此外,由于引入了自适应参数,控制协议的设计不依赖于任何全局网络拓扑信息,这意味着控制协议是完全分布式的。因此,所提出的方案具有更好的可扩展性和更广泛的适用性。最后,提出了仿真结果,以验证所提方案的容错能力和全分布式特性。
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来源期刊
CiteScore
7.30
自引率
14.60%
发文量
586
审稿时长
6.9 months
期刊介绍: The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.
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