控制理论(社会学)
沉降时间
非线性系统
自适应控制
稳健性(进化)
模糊控制系统
模糊逻辑
执行机构
死区
计算机科学
鲁棒控制
李雅普诺夫函数
数学
控制工程
工程类
控制(管理)
人工智能
地质学
物理
海洋学
阶跃响应
基因
化学
量子力学
生物化学
作者
Tianliang Zhang,Rui Bai,Yongming Li
出处
期刊:IEEE Transactions on Fuzzy Systems
[Institute of Electrical and Electronics Engineers]
日期:2023-04-01
卷期号:31 (4): 1240-1253
被引量:17
标识
DOI:10.1109/tfuzz.2022.3197970
摘要
This article focuses on the practically predefined-time adaptive fuzzy quantized control for nonlinear stochastic systems with actuator dead zone. Fuzzy logic systems are employed to approximate uncertain nonlinear functions. A novel stochastic predefined-time control scheme is proposed, which can help reduce the control parameters and increase the robustness of the closed-loop system. Taking the quantization and dead zone in the control link into account, the adaptive parameters and a part of the control are used to estimate and compensate the nonlinear disturbance, respectively. In addition, under reasonable assumptions, the complexity of the Lyapunov function compared with conventional stochastic adaptive control is reduced. Based on the stochastic predefined-time stabilization theory, an adaptive fuzzy controller is designed to make the upper bound of the expected settling time arbitrarily configured. Finally, two examples show the effectiveness of the main results.
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