PD α ‐type iterative learning control for fractional‐order linear continuous‐time switched systems

2019 ◽  
Vol 22 (5) ◽  
pp. 1951-1960
Author(s):  
Kejun Zhang ◽  
Guohua Peng
Keyword(s):  
Fractional Order ◽  
Continuous Time ◽  
Switched Systems ◽  
Iterative Learning Control ◽  
Learning Control ◽  
Iterative Learning ◽  
Order Linear

Iterative learning control for linear continuous-time switched systems with observation noise

2018 ◽  
Vol 41 (4) ◽  
pp. 1178-1185 ◽  
Author(s):  
Xuan Yang ◽  
Xiaoe Ruan
Keyword(s):  
Continuous Time ◽  
Switched Systems ◽  
Iterative Learning Control ◽  
Control Algorithm ◽  
Learning Control ◽  
Young Inequality ◽  
Iterative Learning ◽  
Learning Performance ◽  
Learning Gains ◽  
Switching Rule

The paper attempts to explore the effect of an internal switching mechanism and external noise on the learning performance of a conventional proportional–derivative iterative learning control scheme for linear continuous-time switched systems. The learning behaviour is analysed by virtue of a Lebesgue- p norm and the generalized Young inequality of the convolution integral. The results convey that both asymptotic convergence and robustness of the control algorithm depend mainly on the learning gains and the dynamics of the subsystems, but less on the time-driven switching rule. Given an arbitrary time-varying switching rule, a group of learning gains may be properly chosen such that both convergence and robustness of the control algorithm are guaranteed. Numerical simulations verify the validity and the effectiveness.

Iterative Learning Control for a Class of Linear Discrete-time Switched Systems

2014 ◽  
Vol 39 (9) ◽  
pp. 1564-1569 ◽  
Author(s):  
Xu-Hui BU ◽  
Fa-Shan YU ◽  
Zhong-Sheng HOU ◽  
Fu-Zhong WANG
Keyword(s):  
Discrete Time ◽  
Switched Systems ◽  
Iterative Learning Control ◽  
Learning Control ◽  
Iterative Learning
Sign in / Sign up

Export Citation Format

Share Document