TY - JOUR
T1 - Analysis of fuzzy observability property for a class of TS fuzzy models
AU - Meza, Araceli Grande
AU - Cortes, Tonatiuh Hernandez
AU - Lopez, Airam Veronica Curtidor
AU - Carranza, Luis Alberto Paramo
AU - Herrera, Ricardo Tapia
AU - Ramirez, Irving Omar Cazares
AU - Campana, Jesus Alberto Meda
N1 - Publisher Copyright:
© 2003-2012 IEEE.
PY - 2017
Y1 - 2017
N2 - In this paper, the observability property for a class of Nonlinear systems is analyzed under the theoretical framework of Takagi-Sugeno (TS) fuzzy systems. The main contribution of this work is the designing of a full-order TS fuzzy observer, which allows estimating the state vector in a practical way. The analyzed TS fuzzy observer reconstructs the state vector of nonlinear system by using the overall TS fuzzy model represented by the appropriate blending of linear subsystems that operate around certain operation regions. It is considered that at most two membership functions are activated at the same time to facilitate the analysis of the nonlinear system. The proposed approach allows the behavior of the observer to be easily modified by choosing a set of adequate eigenvalues permitting an arbitrary error convergence according to the design requirements. Some numerical simulations are considered to validate the efficacy of the presented approach. Besides, a comparison between the proposed observer and the one settled down under Parallel Distributed Compensation (PDC) concept is given.
AB - In this paper, the observability property for a class of Nonlinear systems is analyzed under the theoretical framework of Takagi-Sugeno (TS) fuzzy systems. The main contribution of this work is the designing of a full-order TS fuzzy observer, which allows estimating the state vector in a practical way. The analyzed TS fuzzy observer reconstructs the state vector of nonlinear system by using the overall TS fuzzy model represented by the appropriate blending of linear subsystems that operate around certain operation regions. It is considered that at most two membership functions are activated at the same time to facilitate the analysis of the nonlinear system. The proposed approach allows the behavior of the observer to be easily modified by choosing a set of adequate eigenvalues permitting an arbitrary error convergence according to the design requirements. Some numerical simulations are considered to validate the efficacy of the presented approach. Besides, a comparison between the proposed observer and the one settled down under Parallel Distributed Compensation (PDC) concept is given.
KW - Fuzzy Observer
KW - Observability
KW - TS Fuzzy System
UR - http://www.scopus.com/inward/record.url?scp=85018490390&partnerID=8YFLogxK
U2 - 10.1109/TLA.2017.7896343
DO - 10.1109/TLA.2017.7896343
M3 - Artículo
SN - 1548-0992
VL - 15
SP - 595
EP - 602
JO - IEEE Latin America Transactions
JF - IEEE Latin America Transactions
IS - 4
M1 - 7896343
ER -