Abstract—This paper presents two-dimensional (2-D) system theory based iterative learning control (ILC) methods for linear continuous multivariable systems with time delays in state or with time delays in input. Necessary and sufficient conditions are given for convergence of the proposed ILC rules. In this paper, we demonstrate that the 2-D linear continuous-discrete Roesser’s model can be applied to describe the ILC process of linear contin-uous time-delay systems. Three numerical examples are used to illustrate the effectiveness of the proposed ILC methods. Index Terms—Iterative control, linear continuous multivariable system, time delay, two-dimensional (2-D) system theory. I
Abstract: In this paper we use a repetitive process setting to develop a new iterative learning cont...
This paper first develops results on the stability and convergence properties of a general class of ...
In this paper, an approximate optimal adaptive control of partially unknown linear continuous time s...
This paper is concerned with the variable initial states problem in iterative learning control (ILC)...
Iterative learning control (ILC) is a simple and effective method for the control of systems that pe...
The paper presents a new algorithm for iterative learning control (ILC) called “natural” ILC. ILC is...
Abstract—For systems that repeatedly perform a given task, iterative learning control (ILC) makes it...
This paper develops novel procedures for designing of iterative learning control (ILC) schemes for b...
learning control for linear time-variant discrete systems based on 2-D system theor
Abstract. Most available results on iterative learning control address trajectory tracking problem f...
Abstract In this paper, we apply a new method, a delayed matrix exponential, to study...
This paper first investigates convergent property of two iterative learning control (ILC) laws for t...
In this paper, an iterative learning control (ILC) system is modeled as a two-dimensional (2D) Roess...
Abstract In this paper, the iterative learning control (ILC) technique is extended to multi-input mu...
Iterative Learning Control (ILC) is well established in control of linear and nonlinear dynamic syst...
Abstract: In this paper we use a repetitive process setting to develop a new iterative learning cont...
This paper first develops results on the stability and convergence properties of a general class of ...
In this paper, an approximate optimal adaptive control of partially unknown linear continuous time s...
This paper is concerned with the variable initial states problem in iterative learning control (ILC)...
Iterative learning control (ILC) is a simple and effective method for the control of systems that pe...
The paper presents a new algorithm for iterative learning control (ILC) called “natural” ILC. ILC is...
Abstract—For systems that repeatedly perform a given task, iterative learning control (ILC) makes it...
This paper develops novel procedures for designing of iterative learning control (ILC) schemes for b...
learning control for linear time-variant discrete systems based on 2-D system theor
Abstract. Most available results on iterative learning control address trajectory tracking problem f...
Abstract In this paper, we apply a new method, a delayed matrix exponential, to study...
This paper first investigates convergent property of two iterative learning control (ILC) laws for t...
In this paper, an iterative learning control (ILC) system is modeled as a two-dimensional (2D) Roess...
Abstract In this paper, the iterative learning control (ILC) technique is extended to multi-input mu...
Iterative Learning Control (ILC) is well established in control of linear and nonlinear dynamic syst...
Abstract: In this paper we use a repetitive process setting to develop a new iterative learning cont...
This paper first develops results on the stability and convergence properties of a general class of ...
In this paper, an approximate optimal adaptive control of partially unknown linear continuous time s...