反推
控制理论(社会学)
外稃(植物学)
量化(信号处理)
多智能体系统
计算机科学
李雅普诺夫函数
非线性系统
模糊逻辑
控制器(灌溉)
模糊控制系统
功能(生物学)
数学
自适应控制
控制(管理)
算法
人工智能
量子力学
物理
生物
进化生物学
禾本科
生态学
农学
作者
Hongjing Liang,Yanhui Zhang,Tingwen Huang,Hui Ma
出处
期刊:IEEE transactions on cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2020-05-01
卷期号:50 (5): 1810-1819
被引量:188
标识
DOI:10.1109/tcyb.2019.2893645
摘要
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.
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