DocumentCode :
3537836
Title :
Neural passivity control of nonlinear multivariable systems
Author :
Wen Yu ; Xiaoou Li
Author_Institution :
Dept. de Control Automatico, CINVESTAV-IPN, Mexico City, Mexico
fYear :
2013
fDate :
10-13 Dec. 2013
Firstpage :
6812
Lastpage :
6817
Abstract :
In this paper we discuss the passive equivalence of uncertain multi-input multi-output (MIMO) nonlinear systems via neural networks. The main contribution of this paper is that the passivity technique is extended to a more general case, i.e., uncertain MIMO nonlinear system. After the determinate multivariable passivity control is extend to robust multivariable passivity, a neuro passivity control is used to compensate the uncertain. A benchmark hydraulic two-tanks system is implemented to show the effectiveness of the approach.
Keywords :
MIMO systems; compensation; hydraulic systems; neurocontrollers; nonlinear control systems; robust control; uncertain systems; hydraulic two-tanks system; neural networks; neural passivity control; nonlinear multivariable systems; passive equivalence; robust multivariable passivity control; uncertain MIMO nonlinear system; uncertain multiinput multioutput nonlinear systems; MIMO; Neural networks; Nonlinear dynamical systems; Robustness; Symmetric matrices; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
ISSN :
0743-1546
Print_ISBN :
978-1-4673-5714-2
Type :
conf
DOI :
10.1109/CDC.2013.6760968
Filename :
6760968
Link To Document :
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