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An Observer-Based Fuzzy Adaptive Consensus Control Method for Nonlinear Multiagent Systems
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DOI：10.1109/TFUZZ.2022.3154433.png)
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Abstract
En 中文
This article investigates the problem of fuzzy adaptive consensus tracking control for nonlinear multiagent systems with unknown nonlinear control gain functions. In the control design, fuzzy logic systems (FLSs) are adopted to approximate the unknown nonlinear dynamics, and a distributed state observer is constructed to estimate the unmeasured states. Under the case of directed graph, by constructing the logarithm Lyapunov functions, an adaptive fuzzy distributed control method is presented, which removes the restrictive assumptions about the unknown control gain functions must be constants in traditional adaptive intelligent output feedback control methods. The developed control scheme cannot only ensure that all signals of the controlled system are semiglobal uniformly ultimately bounded, but also make the outputs of all the followers keep consensus with the output trajectory of the leader. Finally, simulation results are given to illustrate the effectiveness of the developed consensus control scheme and theorem.
Keywords:
Consensus control
Multi-agent systems
Adaptive systems
Control systems
Observers
Output feedback
Topology
Backstepping technique
consensus control
distributed state observer
fuzzy adaptive control
nonlinear multiagent systems (NMASs)
Journal
IF:
11.9
Papers:
5.0K
Citations:
2.9W