信息与控制2012，Vol.41Issue(6)：747-751,759,6.DOI:10.3724/SP.J.1219.2012.00747
具有快变时滞的1阶非线性参数化系统自适应迭代学习控制
Adaptive lterative Learning Control for First-Order Nonlinearly Parameterized Systems with Fast-Time-Varying Delays
胡云安 1韦建明2
作者信息
- 1. 海军航空工程学院控制工程系,山东烟台264001
- 2. 海军航空工程学院研究生管理大队,山东烟台264001
- 折叠
摘要
Abstract
An adaptive iterative learning control scheme is proposed for a class of first-order nonlinearly parameterized systems with unknown fast-time-varying delays. With respect to the uncertainties of the unknown fast-time-varying delays, a novel exponential-type Lyapunov-Krasovskii function is proposed to overcome the difficulty in designing the controller. The controller and adaptive iterative learning law of unknown time-varying parameters are designed by parameterizing the system. The boundedness of all signals and the convergence of tracking errors are proved by constructing an exponential-type Lyapunov-Krasovskii-Jike composite energy function. The effectiveness of the proposed control algorithms is verified by a simulation example.关键词
快变时滞/指数型Lyapunov-Krasovskii泛函/自适应迭代学习控制(AILC)Key words
fast-time-varying delay/ exponential-type Lyapunov-Krasovskii function/ adaptive iterative learning control (AILC)分类
信息技术与安全科学引用本文复制引用
胡云安,韦建明..具有快变时滞的1阶非线性参数化系统自适应迭代学习控制[J].信息与控制,2012,41(6):747-751,759,6.
