控制理论(社会学)
反推
模糊逻辑
模糊控制系统
跟踪误差
自适应控制
数学
非线性系统
数学优化
控制器(灌溉)
计算机科学
控制(管理)
人工智能
物理
生物
量子力学
农学
作者
Wei Sun,Shun‐Feng Su,Yuqiang Wu,Jianwei Xia
出处
期刊:IEEE Transactions on Fuzzy Systems
[Institute of Electrical and Electronics Engineers]
日期:2021-05-01
卷期号:29 (5): 1188-1197
被引量:65
标识
DOI:10.1109/tfuzz.2020.2969909
摘要
A novel adaptive fuzzy control scheme is designed in this article for a class of stochastic nonstrict feedback nonlinear systems with output constraint and unknown control coefficients. A reduced adaptive fuzzy system is proposed to approximate the unknown function which contains all state variables of the whole system and ensures that the backstepping design method works normally for nonstrict feedback nonlinear systems. With the use of this reduced adaptive fuzzy control method and a combination of Barrier Lyapunov Function control design and Nussbaum gain technique, a novel adaptive fuzzy controller is proposed to guarantee that the output tracking error always meets the given constraint requirement in a sense of probability and the resulting closed-loop states are bounded in probability. Finally, an example is presented to confirm the effectiveness of the designed method.
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