Higher-Order Iterative Learning Control with Optimal Control Gains Based on Evolutionary Algorithm for Nonlinear System
For the nonlinear discrete-time system, higher-order iterative learning control (HOILC) with optimal control gains based on evolutionary algorithm (EA) is developed in this paper. Since the updating actions are constituted by the tracking information from several previous iterations, the suitably de...
Saved in:
Main Authors: | Yun-Shan Wei, Xiaofen Yang, Wenli Shang, Ying-Yu Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2021/4281006 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates
by: Roulet, Vincent, et al.
Published: (2024-11-01) -
Introduction to Higher-Order Iterative Methods for Finding Multiple Roots of Nonlinear Equations
by: Rajinder Thukral
Published: (2013-01-01) -
Stability Analysis of High-Order Iterative Learning Control for a Class of Nonlinear Switched Systems
by: Xuhui Bu, et al.
Published: (2013-01-01) -
Adaptive Control for Nonlinear Systems with Time-Varying Control Gain
by: Alejandro Rincon, et al.
Published: (2012-01-01) -
A Novel Data-Driven Terminal Iterative Learning Control with Iteration Prediction Algorithm for a Class of Discrete-Time Nonlinear Systems
by: Shangtai Jin, et al.
Published: (2014-01-01)