Distributed Output-Feedback Consensus Control of Multiagent Systems with Unknown Output Measurement Sensitivity

• 成果类型: Article
• 署名作者: Li, Kuo; Hua, Chang-Chun; You, Xiu; Guan, Xin-Ping
• 署名单位: Yanshan University; Shanxi University; Shanghai Jiao Tong University
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2020.3017711
• 发表日期: 2021
• 页码: 3303-3310
• 关键词: topology; Output feedback; Multi-agent systems; sensitivity; observers; Consensus algorithm; Heuristic algorithms; Consensus control; distributed observer; K-filter; multiagent systems; unknown output measurement sensitivity

摘要

This article addresses the leader-following consensus problem for multiagent systems with unknown output measurement sensitivity based on a fixed directed topology. Different from the existing works on the consensus problem, the output measurement sensitivity is described as a total unknown parameter. Under this nonideal condition, we put forward a distributed output-feedback consensus control algorithm for the first time. To start with, we design the novel distributed high-gain observer and a high-gain K-filter for each follower, which are utilized to reconstruct the state of the leader and the follower, respectively. Subsequently, the consensus problem is transformed into the stability problem by introducing appropriate state transformation. By using the backstepping control method, the distributed output-feedback controller with an adaptive law is designed for each follower with the help of a Nussbaum-type function. Based on the Lyapunov stability theory, it is strictly proved that all agents can achieve a consensus with the designed controller. Finally, the numerical simulation is presented to illustrate the effectiveness of theoretical results.