Robust Finite-Time Containment of Networked Heterogeneous Nonlinear Systems With Intermittent Measurement Only

IF 6.7 2区 计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY
Biao Tian;Hao Zhang;Peiyu Cui;Zhuping Wang;Huaicheng Yan
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引用次数: 0

Abstract

The robust finite-time containment problem of fully heterogeneous multiagent systems with uncertainties is often challenging, especially when only intermittent output measurement is used. To address the issue posed by the nonidentical system dynamics of multiple leaders, which makes the traditional distributed estimator form for the convex hull inapplicable, a distributed finite-time estimator is constructed for each follower to extract the system matrices and states of leaders. Then, in the output-triggering setting, a finite-time extended state observer driven by intermittent output measurement is developed to reconstruct the uncertainties and unmeasurable states of followers. Meanwhile, the non-continuous output measurement will lead to the differentiation of virtual control laws undefined. To solve this issue, a filtering compensation scheme-based finite-time controller via the backstepping technique is developed for nonlinear followers, ensuring practical finite-time stability (PFTS) of the closed-loop system. It is shown that the proposed algorithm steers each follower into the preset convex combination spanned by the positions of multiple leaders. The capability of the exploited control protocol is verified through simulations and experiments.
仅含间歇测量的网络非均匀非线性系统的鲁棒有限时间约束
具有不确定性的完全异构多智能体系统的鲁棒有限时间约束问题通常具有挑战性,特别是当仅使用间歇输出测量时。针对多先导系统动力学不一致导致传统的凸壳分布式估计量形式不适用的问题,对每个follower构造一个分布式有限时间估计量,提取先导系统的系统矩阵和状态。然后,在输出触发设置下,建立了一个由间歇输出测量驱动的有限时间扩展状态观测器,重构了follower的不确定性和不可测状态。同时,输出测量的不连续会导致虚拟控制规律的不确定。针对这一问题,提出了一种基于滤波补偿方案的非线性随动器有限时间控制器,并通过反演技术保证了闭环系统的实际有限时间稳定性。结果表明,该算法将每个follower引导到由多个leader的位置所组成的预设凸组合中。通过仿真和实验验证了所开发的控制协议的性能。
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来源期刊
IEEE Transactions on Network Science and Engineering
IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering
CiteScore
12.60
自引率
9.10%
发文量
393
期刊介绍: The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.
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