Iterative learning control for nonlinear dynamic systems with randomly varying trial lengths

2015 ◽  
Vol 29 (11) ◽  
pp. 1341-1353 ◽  
Author(s):  
Xuefang Li ◽  
Jian-Xin Xu ◽  
Deqing Huang
Keyword(s):  
Dynamic Systems ◽  
Nonlinear Dynamic ◽  
Iterative Learning Control ◽  
Learning Control ◽  
Iterative Learning ◽  
Nonlinear Dynamic Systems

scholarly journals Design and Implementation of an Accelerated Error Convergence Criterion for Norm Optimal Iterative Learning Controller

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1766
Author(s):  
Saleem Riaz ◽  
Hui Lin ◽  
Muhammad Pervez Akhter
Keyword(s):  
Dynamic Systems ◽  
Iterative Learning Control ◽  
Learning Algorithm ◽  
Learning Control ◽  
Iterative Learning ◽  
Nonlinear Dynamic Systems ◽  
Convergence Criterion ◽  
Design And Implementation ◽  
Linear And Nonlinear ◽  
Huge Challenge

Designing an optimal iterative learning control is a huge challenge for linear and nonlinear dynamic systems. For such complex systems, standard Norm optimal iterative learning control (NOILC) is an important consideration. This paper presents a novel NOILC error convergence technique for a discrete-time method. The primary effort of the controller is to converge the error efficiently and quickly in an optimally successful way. A new iterative learning algorithm based on feedback based on reliability against input disruption was proposed in this paper. The illustration of the simulations authenticates the process suggested. The numerical example simulated on MATLAB@2019 and the mollified results affirm the validation of the designed algorithm.

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