Adaptive Fuzzy Practical Bipartite Synchronization for Multiagent Systems With Intermittent Feedback Under Multiple Unknown Control Directions

• Published in: IEEE transactions on fuzzy systems Vol. 32; no. 5; pp. 3211 - 3225
• Main Authors: Liu, Guilong, Yang, Yongliang, Zhao, Xiaowei, Ahn, Choon Ki
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive control; Bipartite synchronization control; Control methods; Event triggered control; event-triggered mechanism; Fuzzy control; Fuzzy logic; fuzzy logic systems (FLSs); Fuzzy sets; Fuzzy systems; Linguistics; Multiagent systems; multiple unknown control directions; Nussbaum-type functions; Protocols; Synchronism; Synchronization; Uncertainty; Vehicle dynamics
• ISSN: 1063-6706; 1941-0034
• DOI: 10.1109/TFUZZ.2024.3361178

In this article, we propose an adaptive fuzzy control design for the distributed competitive control problem of multiagent systems (MASs) with multiple unknown control directions. The bipartite synchronization control is investigated by using the fuzzy backstepping control framework and fuzzy logic systems. To broaden the application field for the distributed protocol design, we consider practical bipartite synchronization for a group of MASs consisting of followers subject to heterogeneous unknown control directions. To address these multiple unknown control directions, a novel Nussbaum-type function is developed. Moreover, to reduce the communication bandwidth, this article proposes two threshold strategies for event-triggered control to avoid any unnecessary sampling while taking flexibility into consideration, further improving the efficiency and feasibility of the developed bipartite protocol design. The experimental results indicate that the proposed control method can effectively realize bipartite synchronization of MASs with multiple unknown control directions.