scholarly journals Robust fault-tolerant iterative learning control for discrete systems via linear repetitive processes theory

2015 ◽  
Vol 12 (3) ◽  
pp. 254-265 ◽  
Author(s):  
Jian Ding ◽  
Blazej Cichy ◽  
Krzysztof Galkowski ◽  
Eric Rogers ◽  
Hui-Zhong Yang
Keyword(s):  
Iterative Learning Control ◽  
Fault Tolerant ◽  
Discrete Systems ◽  
Learning Control ◽  
Iterative Learning ◽  
Repetitive Processes ◽  
Linear Repetitive Processes

scholarly journals Robust PD-Type Iterative Learning Control of Discrete Linear Repetitive Processes in the Finite Frequency Domain

Mathematics ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. 1004
Author(s):  
Lei Wang ◽  
Mu Li ◽  
Huizhong Yang
Keyword(s):  
Frequency Domain ◽  
Iterative Learning Control ◽  
State Feedback ◽  
Learning Control ◽  
Iterative Learning ◽  
Injection Velocity ◽  
Linear Matrix ◽  
Finite Frequency ◽  
Repetitive Processes ◽  
Linear Repetitive Processes

This paper studies a robust iterative learning control design for discrete linear repetitive processes in the finite frequency domain. Firstly, the state-space model of the iterative learning process is deduced. Then the dynamic performance condition of the control system in the finite frequency domain is derived by combining it with the stability theory of discrete linear repetitive processes. The system performances in the finite frequency domain are then transformed into the corresponding solutions of the linear matrix inequality by using the generalised KYP lemma. Finally, an integrated state feedback PD-type iterative learning control strategy is proposed. The robust control problem with norm-bounded uncertainty and convex polyhedral uncertainty are also considered in this paper. The simulation of the injection velocity in injection molding verified that the proposed methods in this paper are more effective than the P-type state feedback iterative learning control algorithm.

A fault-tolerant iterative learning control for Takagi-Sugeno fuzzy systems*

2021 ◽  
Author(s):  
Marcin Pazera ◽  
Bartlomiej Sulikowski ◽  
Norbert Kukurowski ◽  
Marcin Witczak ◽  
Christophe Aubrun
Keyword(s):  
Iterative Learning Control ◽  
Fuzzy Systems ◽  
Fault Tolerant ◽  
Learning Control ◽  
Iterative Learning ◽  
Takagi Sugeno

Passivity based stabilization of repetitive processes and iterative learning control design

2018 ◽  
Vol 122 ◽  
pp. 101-108 ◽  
Author(s):  
Pavel Pakshin ◽  
Julia Emelianova ◽  
Mikhail Emelianov ◽  
Krzysztof Galkowski ◽  
Eric Rogers
Keyword(s):  
Iterative Learning Control ◽  
Control Design ◽  
Learning Control ◽  
Iterative Learning ◽  
Repetitive Processes

scholarly journals Output Information Based Fault-Tolerant Iterative Learning Control for Dual-Rate Sampling Process with Disturbances and Output Delay

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Hongfeng Tao ◽  
Yan Liu ◽  
Huizhong Yang
Keyword(s):  
Iterative Learning Control ◽  
Fault Tolerant ◽  
Sampling Rate ◽  
Sufficient Conditions ◽  
Learning Control ◽  
Iterative Learning ◽  
Repetitive Process ◽  
Sampling Process ◽  
Output Delay ◽  
Output Information

For a class of single-input single-output (SISO) dual-rate sampling processes with disturbances and output delay, this paper presents a robust fault-tolerant iterative learning control algorithm based on output information. Firstly, the dual-rate sampling process with output delay is transformed into discrete system in state-space model form with slow sampling rate without time delay by using lifting technology; then output information based fault-tolerant iterative learning control scheme is designed and the control process is turned into an equivalent two-dimensional (2D) repetitive process. Moreover, based on the repetitive process stability theory, the sufficient conditions for the stability of system and the design method of robust controller are given in terms of linear matrix inequalities (LMIs) technique. Finally, the flow control simulations of two flow tanks in series demonstrate the feasibility and effectiveness of the proposed method.

A New Iterative Learning Control Scheme for Linear Time-varying Discrete Systems

2007 ◽  
Vol 40 (14) ◽  
pp. 279-282 ◽  
Author(s):  
Lukasz Hladowski ◽  
Krzysztof Galkowski ◽  
Eric Rogers ◽  
Paul L. Lewin ◽  
Christopher T. Freeman
Keyword(s):  
Iterative Learning Control ◽  
Linear Time ◽  
Discrete Systems ◽  
Learning Control ◽  
Iterative Learning ◽  
Time Varying ◽  
Control Scheme
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