Journal
IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 29, Issue 2, Pages 372-384Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2019.2953573
Keywords
Quantization (signal); Trajectory; Observers; Directed graphs; Fuzzy logic; Synchronization; Laplace equations; Bipartite containment control; multiagent systems (MASs); event-triggered mechanism; input quantization; unmeasurable states
Funding
- National Natural Science Foundation of China [61973091, 61903290]
- Guangdong Natural Science Funds for Distinguished Young Scholar [2017A030306014]
- Innovative Research Team Program of Guangdong Province Science Foundation [2018B030312006]
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This article studies the bipartite containment control problem for nonlinear multiagent systems over a signed digraph, and develops a distributed protocol and event-triggered control scheme to achieve this. By utilizing a fuzzy observer to estimate unmeasurable states, the stability of the system is demonstrated.
This article studies the bipartite containment control problem for nonlinear multiagent systems (MASs) with input quantization over a signed digraph. The design objective is to provide an appropriate distributed protocol such that the followers converge to a convex hull containing each leader's trajectory as well as its opposite trajectory different in sign. Based on a nonlinear decomposition approach of input quantization, an event-triggered control scheme is developed via backstepping technique. A fuzzy observer is constructed to estimate unmeasurable states. Moreover, the bipartite containment control scheme for nonlinear MASs is designed. It is demonstrated that all signals in the closed-loop system are semiglobally uniformly ultimately bounded and Zeno behavior is excluded. Finally, a simulation example is given to verify the validity of the designed method.
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