Output Feedback Predefined-Time Bipartite Consensus Control for High-Order Nonlinear Multiagent Systems
- Authors
- Li, Kuo; Hua, Changchun; You, Xiu; Ahn, Choon Ki
- Issue Date
- 7월-2021
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Multi-agent systems; Consensus control; Topology; Output feedback; Consensus algorithm; Nonlinear dynamical systems; Heuristic algorithms; Bipartite consensus; output feedback controllers; predefined-time control; a time-varying gain; uncertain nonlinear multiagent systems
- Citation
- IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, v.68, no.7, pp.3069 - 3078
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
- Volume
- 68
- Number
- 7
- Start Page
- 3069
- End Page
- 3078
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/127794
- DOI
- 10.1109/TCSI.2021.3071974
- ISSN
- 1549-8328
- Abstract
- This paper concerns the predefined-time bipartite consensus control for uncertain nonlinear multiagent systems under a signed directed topology. All agents have high-order uncertain nonlinear dynamic characteristics satisfying a time-varying Lipschitz growth condition, and their partial state information is not available for measurement. In this case, we put forward a novel output-feedback-based predefined-time leader-following bipartite consensus control strategy. A predefined-time compensator for each follower is firstly constructed with a time-varying gain by utilizing its relative output information. Then, a novel linear-like output feedback predefined-time distributed control protocol is developed for each follower by means of the compensator. By making two artful state transitions, the bipartite consensus problem is reduced to a stabilization one of nonlinear systems. By means of the Lyapunov stability theorem, we strictly prove that the designed controllers can ensure that all agents realize bipartite consensus in predefined time. Finally, two simulation examples are given to validate the viability of the developed theoretical algorithm.
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