DocumentCode :
529095
Title :
Sampled-data models for decouplable nonlinear multivariable systems
Author :
Nishi, Masatoshi ; Ishitobi, Mitsuaki ; Liang, Shan ; Kunimatsu, Sadaaki
Author_Institution :
Dept. of Mech. Syst. Eng., Kumamoto Univ., Kumamoto, Japan
fYear :
2010
fDate :
18-21 Aug. 2010
Firstpage :
936
Lastpage :
941
Abstract :
One of the approaches to sampled-data controller design for nonlinear continuous-time systems consists of obtaining an appropriate model and then proceeding to design a controller for the model. Few studies have been investigated for obtaining sampled-data models of nonlinear multi-input multi-output systems (MIMO system) though we can find studies which consider nonlinear single-input single-output systems. This paper shows a more accurate sampled-data model than the Euler model for nonlinear multi-input multi-output systems and derives sampling zero dynamics of the model.
Keywords :
MIMO systems; continuous time systems; control system synthesis; nonlinear control systems; sampled data systems; decouplable nonlinear multivariable systems; nonlinear continuous time systems; nonlinear multiinput multioutput systems; nonlinear single input single output systems; sampled data controller design; sampled data models; Context modeling; Mechanical systems; Nonlinear dynamical systems; State feedback; Transfer functions; Multivariable systems; Nonlinear systems; Sampled-data models; Zero dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE Annual Conference 2010, Proceedings of
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7642-8
Type :
conf
Filename :
5602233
Link To Document :
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