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Prescribed Performance Cooperative Control for Multiagent Systems With Input Quantization
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DOI：10.1109/TCYB.2019.2893645.png)
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摘要
En 中文
This paper studies the quantized cooperative control problem for multiagent systems with unknown gains in the prescribed performance. Different from the finite-time control, a speed function is designed to realize that the tracking errors converge to a prescribed compact set in a given finite time for multiagent systems. Meanwhile, we consider the problem of unknown gains and input quantization, which can be addressed by using a lemma and Nussbaum function in cooperative control. Moreover, the fuzzy logic systems are proposed to approximate the nonlinear function defined on a compact set. A distributed controller and adaptive laws are constructed based on the Lyapunov stability theory and backstepping method. Finally, the effectiveness of the proposed approach is illustrated by some numerical simulation results.
Keyword:
Multi-agent systems
Fuzzy logic
Quantization (signal)
Control systems
Nonlinear systems
Convergence
Cooperative control
prescribed performance
quantized control
unknown gains
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期刊
IF:
10.5
论文数:
1.1W
被引数:
5.0W
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