Paper Info
Title
Design of Modified Repetitive Controller for T-S Fuzzy Systems.
Abstract
A repetitive controller contains a pure-delay positive-feedback loop that makes it difficult to stabilize a strictly proper system. A low-pass filter is inserted in a repetitive controller to relax the stability condition of the modified repetitive-control system at the cost of degrading the tracking performance. In this study, a modified repetitive-control approach is developed, which reaches a balance between the stability and tracking performance for a class of affine nonlinear systems based on the Takagi-Sugeno fuzzy model. First, a 2D model is established to adjust continuous control and discrete learning actions preferentially induced by exploiting the 2D property in a repetitive-control process. Then, the Lyapunov stability theory and 2D system theory are used to derive a sufficient stability condition in the form of linear matrix inequalities to design parallel-distributed-compensation-based state-feedback controllers. Finally, an application-oriented example is used, and a comparison is performed to show that an extra variable is introduced such that the developed method has a better tracking performance.
Year
DOI
Venue
2019
10.20965/jaciii.2019.p0602
JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS
Keywords
Field
DocType
affine nonlinear systems,modified repetitive control,Takagi-Sugeno fuzzy model,two-dimensional model,parallel distributed compensation
Control theory,Affine nonlinear system,Pattern recognition,Computer science,Control theory,Artificial intelligence,Fuzzy control system
Journal
Volume
Issue
ISSN
23
3
1343-0130
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Manli Zhang184.21
Min Wu23582272.55
Luefeng Chen333.78
Pan Yu491.69