This paper has dealt with a tracking control problem for a class of unstable reaction–diffusion system with time delay. Iterative learning algorithms are introduced to make the infinite-dimensional repetitive motion system track the desired trajectory. A new Lyapunov–Krasovskii functional is constructed to deal with the time-delay system. Picewise distribution functions are applied in this paper to perform piecewise control operations. By using Poincaré–Wirtinger inequality, Cauchy–Schwartz inequality for integrals and Young’s inequality, the convergence of the system with time delay using iterative learning schemes is proved. Numerical simulation results have verified the effectiveness of the proposed method
In many industries there are technological processes that are cyclical in nature. In the control of ...
A feedback-feedforward PDalpha type iterative learning control (ILC) of fractional order uncertain t...
Model-based learning control of nonlinear systems is studied. Two types of learning algorithms, desc...
Abstract. Most available results on iterative learning control address trajectory tracking problem f...
The paper presents a new algorithm for iterative learning control (ILC) called “natural” ILC. ILC is...
In this paper, the tracking problem for a class of nonlinearly parametric time-delay systems with ar...
International audienceTo solve the trajectory tracking problem for rigid robot manipulators subject ...
In this paper, we study the trajectory tracking problem using iterative learning control for continu...
To solve trajectory tracking problem of switched system with sensor saturation, an iterative learnin...
Iterative learning control is a methodology applicable to systems which repeatedly track the same re...
Abstract In this paper, the iterative learning control (ILC) technique is extended to multi-input mu...
Abstract- This paper develops a kinematic path tracking algorithm for a nonholonomic mobile robot us...
An iterative learning control problem for nonlinear systems with delays is studied in detail in this...
Online-Offline Iterative Learning Control provides an effective and robust solution to learn precise...
This paper proposes a model-based iterative learning control algorithm for time-varying systems with...
In many industries there are technological processes that are cyclical in nature. In the control of ...
A feedback-feedforward PDalpha type iterative learning control (ILC) of fractional order uncertain t...
Model-based learning control of nonlinear systems is studied. Two types of learning algorithms, desc...
Abstract. Most available results on iterative learning control address trajectory tracking problem f...
The paper presents a new algorithm for iterative learning control (ILC) called “natural” ILC. ILC is...
In this paper, the tracking problem for a class of nonlinearly parametric time-delay systems with ar...
International audienceTo solve the trajectory tracking problem for rigid robot manipulators subject ...
In this paper, we study the trajectory tracking problem using iterative learning control for continu...
To solve trajectory tracking problem of switched system with sensor saturation, an iterative learnin...
Iterative learning control is a methodology applicable to systems which repeatedly track the same re...
Abstract In this paper, the iterative learning control (ILC) technique is extended to multi-input mu...
Abstract- This paper develops a kinematic path tracking algorithm for a nonholonomic mobile robot us...
An iterative learning control problem for nonlinear systems with delays is studied in detail in this...
Online-Offline Iterative Learning Control provides an effective and robust solution to learn precise...
This paper proposes a model-based iterative learning control algorithm for time-varying systems with...
In many industries there are technological processes that are cyclical in nature. In the control of ...
A feedback-feedforward PDalpha type iterative learning control (ILC) of fractional order uncertain t...
Model-based learning control of nonlinear systems is studied. Two types of learning algorithms, desc...