Paper Info
Title
Synthesis of a unknown inputs proportional integral observer for TS fuzzy models
Abstract
In this paper, synthesis conditions of a proportional integral observer for a Takagi-Sugeno (TS) fuzzy models subject to unknown inputs and unmeasurable decision variables are established. These unknown inputs affect both state and output of the system. The synthesis of this observer is based on hypothesis that the unknown inputs are under the polynomials form with bounded norm of their kth derivatives. The Lyapunov theory and L2-gain technique are used to develop the stability conditions of such observers in LMIs formulation. A numerical example is proposed to validate the proposed design conditions.
Year
Venue
Keywords
2013
Control Conference
lyapunov methods,pi control,control system synthesis,fuzzy control,linear matrix inequalities,observers,polynomials,stability,l2-gain technique,lmi formulation,lyapunov theory,ts fuzzy models,takagi-sugeno fuzzy models,bounded norm,observer synthesis,stability conditions,unknown inputs proportional integral observer,unmeasurable decision variables,proportional integral observer,unknown inputs reconstruction
Field
DocType
Citations 
Lyapunov function,Decision variables,Polynomial,Control theory,Fuzzy logic,Stability conditions,Fuzzy control system,Observer (quantum physics),Mathematics,Bounded function
Conference
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Youssef, T.100.68
M. Chadli2393.35
M. Zelmat3252.68