DocumentCode :
226705
Title :
Non-PDC controller design for Takagi-Sugeno models via line-integral Lyapunov functions
Author :
Cherifi, Ahmed ; Guelton, Kevin ; Arcese, Laurent
Author_Institution :
CReSTIC EA3804, Univ. de Reims Champagne-Ardenne, Reims, France
fYear :
2014
fDate :
6-11 July 2014
Firstpage :
2444
Lastpage :
2450
Abstract :
This paper presents a new non Parallel Distributed Compensation (non-PDC) controllers design based on line-Integral Lyapunov functions for continuous-time Takagi-Sugeno (T-S) fuzzy models. The previous works are mainly based on a BMI formulation (LMI for first and second order systems only). In this paper, we show that using a property on dual system, it can be possible to formulate the design of a controller as an LMI problem for n-th order T-S systems. Two simulations are provided to show the effectiveness of the proposed approach : a numerical second order academic example and a fourth order benchmark of a single link robot with flexible joint.
Keywords :
Lyapunov methods; compensation; continuous time systems; control system synthesis; fuzzy control; linear matrix inequalities; BMI formulation; LMI problem; T-S fuzzy models; continuous-time Takagi-Sugeno fuzzy models; line-integral lyapunov functions; linear matrix inequalities; nonPDC controller design; nonparallel distributed compensation; Fuzzy systems; Joints; Linear matrix inequalities; Lyapunov methods; Robots; Stability analysis; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-2073-0
Type :
conf
DOI :
10.1109/FUZZ-IEEE.2014.6891675
Filename :
6891675
Link To Document :
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