A New Discrete-time Adaptive ILC for Nonlinear Systems with Time-varying Parametric Uncertainties

被引：6

作者：

CHI RongHu SUI ShuLin HOU ZhongSheng Institute of Autonomous Navigation and Intelligent ControlSchool of Automation and Electrical EngineeringQingdao University of Science and TechnologyQingdao PKChina Advanced Control Systems LaboratorySchool of Electronics and Information EngineeringBeijing Jiaotong UniversityBeijing PRChina ^{[1
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机构：

来源：

自动化学报 | 2008年 / 07期

关键词：

Iterative learning control (ILC); adaptive control; time-varying parameters; non-identical initial condition; nonidentical trajectory;

D O I：

暂无

中图分类号：

TP13 [自动控制理论];

学科分类号：

0711 ; 071102 ; 0811 ; 081101 ; 081103 ;

摘要：

<正>Using the analogy between the discrete time axis and the iterative learning axis,a new discrete-time adaptive iter- ative learning control (AILC) approach is developed to address a class of nonlinear systems with time-varying parametric un- certainties.Analogous to adaptive control,the new AILC can incorporate a projection algorithm,thus the learning gain can be tuned iteratively along the learning axis.When the initial states are random and the reference trajectory is iteration-varying,the new AILC can achieve the pointwise convergence over a finite time interval asymptotically along the iterative learning axis.

引用

页码：805 / 808

页数：4