Add to ORKGYesAn adaptive iterative learning control(ILC) approach is proposed for a class of multi-input multi-output (MIMO) uncertain nonlinear systems without prior knowledge about system control gain matrices. The Nussbaum-type gain and the positive definite discrete matrix kernel are proposed for dealing with selection of the unknown control gain and learning of the repeatable uncertainties, respectively. Asymptotic convergence for a trajectory tracking within a finite time interval is achieved through repetitive tracking. Simulations are carried out to show the validity of the proposed control method
The problem encountered in this paper is to design a robust, feedback-based improved control system ...
For uncertain multiple inputs multi-outputs (MIMO) nonlinear systems, it is nontrivial to achieve as...
Abstract. In this paper, an iterative learning control method is proposed for a class of nonlinear d...
NoDesign of iterative learning control (ILC) often requires some prior knowledge about a system's co...
NoAn adaptive iterative learning control approach is proposed for a class of single-input single-out...
An adaptive iterative learning control method is proposed for a class of nonlinear strict-feedback d...
This article considers the tracking control of unknown nonlinear nonaffifine repetitive discrete-tim...
DoctorIn this thesis, we present adaptive learning control schemes for two classes of nonlinear syst...
In this paper, an adaptive iterative learning controller (AILC) with input learning technique is pre...
Iterative learning control (ILC) theory is based on the traditional assumptions of resetting conditi...
A new robust iterative learning control scheme is presented for state tracking control of nonlinear ...
In this work we explore the possibility of designing a new iterative learning control scheme for sys...
An adaptive fuzzy iterative learning control (ILC) algorithm is designed for the iterative variable ...
This paper deals with a simulation-based design of model-based iterative learning control (ILC) for ...
Abstract — A simple iterative learning controller (ILC) together with a feedback controller is propo...
The problem encountered in this paper is to design a robust, feedback-based improved control system ...
For uncertain multiple inputs multi-outputs (MIMO) nonlinear systems, it is nontrivial to achieve as...
Abstract. In this paper, an iterative learning control method is proposed for a class of nonlinear d...
NoDesign of iterative learning control (ILC) often requires some prior knowledge about a system's co...
NoAn adaptive iterative learning control approach is proposed for a class of single-input single-out...
An adaptive iterative learning control method is proposed for a class of nonlinear strict-feedback d...
This article considers the tracking control of unknown nonlinear nonaffifine repetitive discrete-tim...
DoctorIn this thesis, we present adaptive learning control schemes for two classes of nonlinear syst...
In this paper, an adaptive iterative learning controller (AILC) with input learning technique is pre...
Iterative learning control (ILC) theory is based on the traditional assumptions of resetting conditi...
A new robust iterative learning control scheme is presented for state tracking control of nonlinear ...
In this work we explore the possibility of designing a new iterative learning control scheme for sys...
An adaptive fuzzy iterative learning control (ILC) algorithm is designed for the iterative variable ...
This paper deals with a simulation-based design of model-based iterative learning control (ILC) for ...
Abstract — A simple iterative learning controller (ILC) together with a feedback controller is propo...
The problem encountered in this paper is to design a robust, feedback-based improved control system ...
For uncertain multiple inputs multi-outputs (MIMO) nonlinear systems, it is nontrivial to achieve as...
Abstract. In this paper, an iterative learning control method is proposed for a class of nonlinear d...