Paper Info
Title
Dynamic output-feedback control for nonlinear continuous-time systems based on parametric uncertain subsystem and T-S fuzzy model.
Abstract
This paper addresses the T-S fuzzy robust dynamic output-feedback control problem for a class of nonlinear continuous-time systems with parametric uncertainties and premise variables. First, based on the control input matrix and output matrix, the parametric uncertainties are assumed to be a subsystem, which is described as a linear fractional. Secondly, the nonlinear continuous-time systems are described by the Takagi-Sugeno (T-S) fuzzy model. Then the new dynamic output feedback controller is designed based on the T-S fuzzy model and the linear fractional (parametric uncertainties), and the sufficient conditions for robust stabilization are given in the form of linear matrix inequalities (LMIs). Compared with previous work, the developed methods not only have abilities to handle the fuzzy system with premise variables but also can deal with the parametric uncertainties effectively. The results are further extended to a mobile robot case and a chemical process case. Finally, numerical examples are performed to show the effectiveness of the theoretical results.
Year
DOI
Venue
2018
10.3233/JIFS-17934
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
Field
DocType
Dynamic output-feedback,T-S fuzzy model,parametric uncertainties,premise variables,linear fractional,linear matrix inequalities
Fuzzy model,Nonlinear system,Control theory,Parametric statistics,Artificial intelligence,Machine learning,Mathematics
Journal
Volume
Issue
ISSN
35
SP5
1064-1246
Citations 
PageRank 
References 
0
0.34
19
Authors
5
Name
Order
Citations
PageRank
Wei Zheng155.21
hongbin wang2119.05
Shuhuan Wen35411.14
Hongrui Wang424.78
Zhi-Ming Zhang533.75