This paper presents an iterative learning scheme for a linear time-invariance (LTI) system. Based on the scheme, the influence of learning structure, learning laws and learning parameters on the convergence speed of iterative learning control (ILC) is discussed. Furthermore, the theoretical proof and simulation conclusions are provided, which is the theoretical instruction and designing guideline for practical applications of ILC
Iterative learning control (ILC) is a control design method that can improve the tracking performanc...
This article studies convergence characteristics of first-and second-order P-type (proportional-type...
This paper firstly makes a retrospective review of some iterative learning control techniques and re...
We derive frequency-domain criteria for the convergence of linear iterative learning control (ILC) o...
This paper addresses the convergence issue of first-order and second-order PD-type iterative learnin...
In Iterative Learning Control (ILC), the lifted system is often used in design and analysis to deter...
In order to solve the optimization problems of convergence characteristics of a class of single-inpu...
An optimal iterative learning control (ILC) is proposed to optimize an accumulative quadratic perfor...
An iterative learning control algorithm with an adjustable interval is proposed for nonlinear system...
An optimal iterative learning control (ILC) is proposed to optimize an accumulative quadratic perfor...
In iterative learning control (ILC), a lifted system representation is often used for design and ana...
An introduction to Iterative Learning Control (ILC) is given. The basic principle behind ILC in both...
In this thesis, the iterative learning control (ILC) problem for classes of nonlinear systems with w...
Abstract: In Iterative Learning Control design, convergence speed along the iteration domain is one ...
Iterative learning control (ILC) involves a trade-off between perfect, fast attenuation of iteration...
Iterative learning control (ILC) is a control design method that can improve the tracking performanc...
This article studies convergence characteristics of first-and second-order P-type (proportional-type...
This paper firstly makes a retrospective review of some iterative learning control techniques and re...
We derive frequency-domain criteria for the convergence of linear iterative learning control (ILC) o...
This paper addresses the convergence issue of first-order and second-order PD-type iterative learnin...
In Iterative Learning Control (ILC), the lifted system is often used in design and analysis to deter...
In order to solve the optimization problems of convergence characteristics of a class of single-inpu...
An optimal iterative learning control (ILC) is proposed to optimize an accumulative quadratic perfor...
An iterative learning control algorithm with an adjustable interval is proposed for nonlinear system...
An optimal iterative learning control (ILC) is proposed to optimize an accumulative quadratic perfor...
In iterative learning control (ILC), a lifted system representation is often used for design and ana...
An introduction to Iterative Learning Control (ILC) is given. The basic principle behind ILC in both...
In this thesis, the iterative learning control (ILC) problem for classes of nonlinear systems with w...
Abstract: In Iterative Learning Control design, convergence speed along the iteration domain is one ...
Iterative learning control (ILC) involves a trade-off between perfect, fast attenuation of iteration...
Iterative learning control (ILC) is a control design method that can improve the tracking performanc...
This article studies convergence characteristics of first-and second-order P-type (proportional-type...
This paper firstly makes a retrospective review of some iterative learning control techniques and re...