利用自适应协议遏制异构奇异多代理系统的输出形成

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Robust and Nonlinear Control Pub Date : 2024-12-30 DOI:10.1002/rnc.7785
Xiaofan Liu, Kai Sheng, Yunyi Yan
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Output Formation Containment of Heterogeneous Singular Multiagent Systems Using Adaptive Protocols

In this study, the output formation containment control problem for heterogeneous singular multiagent systems is investigated. The purpose of this study is to drive the output of the leader agents to reach a time-varying formation and take containment action for the follower agents. First, a novel distributed adaptive protocol is designed that relies on the relative output information of agents without measuring and transmitting their states information. Then, the formation containment control problem can be simplified into an admissible analysis of coupled nonlinear singular systems by constructing a model transformation. The output formation control conditions related to the spectral radius of the weighted adjacency matrix are obtained based on the bounded real lemma and admissible analysis. In addition, the adaptive protocols based on the state of the virtual leader are proposed, which can drive the agents to achieve formation containment control more quickly when the state of the virtual leader is known. Finally, the simulation results verify the feasibility of the output formation containment control.

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来源期刊
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
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Issue Information A Semi-Markovian Model Approach to Resilient Fault-Tolerant Control of Interval Type-2 Fuzzy Systems With Stochastic Actuator Failures and Its Applications Issue Information A Convex Optimization Approach to Compute Trapping Regions for Lossless Quadratic Systems Issue Information
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