Observer-Based Event-Triggered Fuzzy Adaptive Bipartite Containment Control of Multiagent Systems With Input Quantization

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...

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Bibliographic Details
Published in:IEEE transactions on fuzzy systems 2021-02, Vol.29 (2), p.372-384
Main Authors: Zhou, Qi, Wang, Wei, Liang, Hongjing, Basin, Michael V., Wang, Bohui
Format: Article
Language:English
Subjects:
Adaptive control
Bipartite containment control
Containment
Convexity
Directed graphs
event-triggered mechanism
Feedback control
Fuzzy control
Fuzzy logic
Graph theory
input quantization
Laplace equations
Measurement
Multiagent systems
multiagent systems (MASs)
Nonlinear control
Nonlinear systems
Observers
Quantization (signal)
Synchronization
Trajectory
unmeasurable states
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Summary: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.
ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2019.2953573