控制理论(社会学)
跟踪误差
瞬态(计算机编程)
计算机科学
转化(遗传学)
跟踪(教育)
非线性系统
边界(拓扑)
功能(生物学)
稳态(化学)
控制系统
自适应控制
集合(抽象数据类型)
国家(计算机科学)
控制(管理)
算法
数学
工程类
人工智能
教育学
物理化学
数学分析
化学
生物
操作系统
心理学
生物化学
量子力学
进化生物学
程序设计语言
物理
电气工程
基因
作者
Xin Li,Junfeng Lai,Yujuan Wang
标识
DOI:10.1109/cac53003.2021.9727801
摘要
In this work, a neuroadaptive proportional integral (PI) control solution for SISO strict feedback nonlinear systems with model uncertainties, capable of guaranteeing prescribed performance bounds, is developed. First, we introduce a special speed function and transform the original error constrained system into an unconstrained one by transformation techniques. Then, by stabilizing the converted system, the error of the original system is guaranteed to evolve within the performance function boundary. And the virtual errors and tracking error converge to the pre-set region of accuracy within user-given time. Lastly, the effectiveness of the proposed control algorithm is verified by simulation.
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