DocumentCode :
3140125
Title :
Multiple model reduction based control approach for non linear systems
Author :
Zribi, Ali ; Chtourou, Mohamed ; Djemel, Mohamed
Author_Institution :
Dept. of Electr. Eng., ENIS, Sfax, Tunisia
fYear :
2011
fDate :
22-25 March 2011
Firstpage :
1
Lastpage :
4
Abstract :
For linear plants, IMC have been shown good robustness properties against disturbances and model mismatches. However, when uncertain processes are concerned, the original IMC structure cannot be directly used for control system implementation. In this paper, an internal multiple model control (IMMC) based on linear model´s library is introduced. This approach supposes the definition of a set of local models developed within each cluster. Such decomposition is obtained using the fuzzy c-means (FCM) clustering algorithm. Then the gap metric concept has been designed as a criterion to analyze the relationships among candidate models to get a reduced model bank.
Keywords :
fuzzy set theory; nonlinear control systems; pattern clustering; fuzzy c-means clustering; gap metric concept; internal multiple model control; model reduction based control; nonlinear systems; reduced model bank; Adaptation model; Analytical models; Clustering algorithms; Computational modeling; Data models; Mathematical model; Measurement; IMMC; PH neutralisation system; RCA; multiple models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Signals and Devices (SSD), 2011 8th International Multi-Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4577-0413-0
Type :
conf
DOI :
10.1109/SSD.2011.5767493
Filename :
5767493
Link To Document :
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