反推
控制理论(社会学)
非线性系统
李雅普诺夫函数
控制器(灌溉)
模糊逻辑
跟踪误差
数学
自适应控制
Lyapunov重新设计
Lyapunov稳定性
模糊控制系统
计算机科学
控制(管理)
人工智能
物理
量子力学
农学
生物
作者
Ke Xu,Huanqing Wang,Peter Liu
摘要
Abstract In this article, the problem of adaptive fixed‐time tracking control is addressed for non‐triangular structural stochastic switching nonlinear systems. Fuzzy logic systems are used to compensate for unknown nonlinearities, and in the meantime, to avoid the algebraic loop problem, which exists in traditional backstepping controller design processes for non‐triangular structural nonlinear systems. The unknown control gain problem is addressed by the construction of proper Lyapunov function candidates. By employing Lyapunov stability theorem, all the closed‐loop signals can be ensured to be semi‐globally practical fixed‐time stable, the output signal can track the desired signal, and the tracking error can converge to a small zone around the origin. The effectiveness of the developed control approach is verified through simulation results.
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