Supported by National Natural Science Foundation of China (61273137, 51209026, 61074017), the Scientific Research Fund of Liaoning Provincial Education Department (L2013202), and the Fundamental Research Funds for the Central Universities (3132013037, 3132014047, 3132014321)
Supported by National Natural Science Foundation ot China (61203065, 61120106009), the Program of Natural Science of Henan Provincial Education Department (12A510013), and the Program of Open Laboratory Foundation of Control Engineering Key Discipline of Henan Provincial High Education (KG 2011-10)
在这份报纸,反复的学习控制(ILC ) 与任意的切换的信号为线性分离时间的交换系统的一个类被考虑。交换系统重复地在有限时间间隔期间被操作,这被假定,然后第一个顺序 P 类型 ILC 计划能被用来完成完美的追踪在上自始至终间隔。由超...
Supported by National Natural science Foundation-of P.R.Chlna (60474038, 60774022), Specialized Research Fund for the Doctoral Program of Higher Educatlon(20060004002)
Supported by National Natural Science Foundation of P.R.China(60474038);Science Research Foundation of Beijing Jiaotong University(2005SM005);Specialized Research Fund for the Doctoral Program of Higher Education(20060004002)
The classical D-type iterative learning control law depends crucially on the relative degreeof the controlled system, high order di?erential iterative learning law must be taken for systems withhigh order relative deg...
Supported by National Natural Science Foundation of P. R. China (60474049)
An iterative learning control algorithm based on shifted Legendre orthogonal polynomials is proposed to address the terminal control problem of linear time-varying systems. First, the method parameterizes a linear tim...
In this paper we review the recent advances in three sub-areas of iterative learning control (ILC): 1) linear ILC for linear processes, 2) linear ILC for nonlinear processes which are global Lipschitz continuous (GLC)...