An optimal iterative learning control (ILC) is proposed to optimize an accumulative quadratic performance index in the iteration domain for the nominal dynamics of linear discrete-time systems. Properties of stability, convergence, robustness, and optimality are investigated and demonstrated. In the case that the system under consideration contains uncertain dynamics, the proposed ILC design can be applied to yield a guaranteed-cost ILC whose solution can be found using the linear matrix inequality (LMI) technique. Simulation examples are included to demonstrate feasibility and effectiveness of the proposed learning controls. © 2008 Elsevier Ltd. All rights reserved
Iterative learning control (ILC) is a high-performance control design method for systems operating i...
The iterative learning control (ILC) method improvesperformance of systems that repeat the same task...
When iterative learning control (ILC) is applied to improve a system's tracking performance, the tri...
An optimal iterative learning control (ILC) is proposed to optimize an accumulative quadratic perfor...
An optimal iterative learning control (ILC) is proposed to optimize an accumulative quadratic perfor...
In this paper, a robust iterative learning control (ILC) designed through a linear matrix inequality...
Performance function based iterative learning algorithms are investigated in this paper. At first, a...
Abstract: In Iterative Learning Control design, convergence speed along the iteration domain is one ...
The objective of this paper is to develop a new approach for designing Iterative Learning Control (I...
In order to solve the optimization problems of convergence characteristics of a class of single-inpu...
Abstract In this thesis a set of new algorithms is introduced for Iterative Learning Control (ILC) a...
Abstract — This paper is concerned with the ILC control problem for LTI discrete systems. The stabil...
This paper presents a data-driven optimal terminal iterative learning control (TILC) approach for li...
An iterative learning control (ILC) scheme is designed for a class of nonlinear discrete-time dynami...
The area if Iterative Learning Control (ILC) has great potential for applications to systems with a ...
Iterative learning control (ILC) is a high-performance control design method for systems operating i...
The iterative learning control (ILC) method improvesperformance of systems that repeat the same task...
When iterative learning control (ILC) is applied to improve a system's tracking performance, the tri...
An optimal iterative learning control (ILC) is proposed to optimize an accumulative quadratic perfor...
An optimal iterative learning control (ILC) is proposed to optimize an accumulative quadratic perfor...
In this paper, a robust iterative learning control (ILC) designed through a linear matrix inequality...
Performance function based iterative learning algorithms are investigated in this paper. At first, a...
Abstract: In Iterative Learning Control design, convergence speed along the iteration domain is one ...
The objective of this paper is to develop a new approach for designing Iterative Learning Control (I...
In order to solve the optimization problems of convergence characteristics of a class of single-inpu...
Abstract In this thesis a set of new algorithms is introduced for Iterative Learning Control (ILC) a...
Abstract — This paper is concerned with the ILC control problem for LTI discrete systems. The stabil...
This paper presents a data-driven optimal terminal iterative learning control (TILC) approach for li...
An iterative learning control (ILC) scheme is designed for a class of nonlinear discrete-time dynami...
The area if Iterative Learning Control (ILC) has great potential for applications to systems with a ...
Iterative learning control (ILC) is a high-performance control design method for systems operating i...
The iterative learning control (ILC) method improvesperformance of systems that repeat the same task...
When iterative learning control (ILC) is applied to improve a system's tracking performance, the tri...