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Observer-Based Fixed-Time Adaptive Fuzzy Consensus DSC for Nonlinear Multiagent Systems
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DOI：10.1109/TCYB.2022.3204806.png)
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Abstract
En 中文
This article studies the output-feedback fixed-time fuzzy consensus control problem for nonlinear multiagent systems (MASs) under the directed communication topologies. Since the controlled systems contain the unmeasurable states and unknown dynamics, the unmeasurable states are reconstructed via linear state observers, and fuzzy logic systems are utilized to identify the unknown internal dynamics. By constructing the integral type Lyapunov function, a fixed-time adaptive fuzzy consensus control scheme is developed by introducing the nonlinear filter technique into the backstepping recursive technique adaptive control algorithm. The presented consensus control method can not only guarantee the controlled system is semi-global practical fixed-time stable (SGPFTS), but also avoid the singular problem in existing backstepping recursive control design methods. Finally, an application of unmanned surface vehicles is provided to verify the effectiveness of the presented fixed-time fuzzy consensus control method.
Keywords:
Consensus control
Observers
Convergence
Output feedback
Lyapunov methods
Stability analysis
Control design
Fixed-time stable
fuzzy consensus control
nonlinear multiagent systems (MASs)
state observer
Journal
IF:
10.5
Papers:
1.1W
Citations:
5.0W
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