Title : ( A Neural Network type Feedback law for linear systems with position and rate limited actuators )
Authors: Modjtaba Rouhani , M. B. Menhaj ,
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Abstract
his paper introduces a novel nonlinear feedback for locally stabilizing a class of multi-input nonlinear systems consist of a linear system together with saturated and rate limited actuators. No assumption is made on the stability of the linear system. The structure of the proposed nonlinear system is of a ldquoNeural Network Typerdquo. The Neural network feedback law is designed to achieve the greatest ellipsoid domain of stability of closed loop system.
Keywords
, NN, control
@inproceedings{paperid:1053459,
author = {Rouhani, Modjtaba and M. B. Menhaj},
title = {A Neural Network type Feedback law for linear systems with position and rate limited actuators},
booktitle = {Electrical and Computer Engineering, 2008. CCECE 2008. Canadian Conference on},
year = {2008},
location = {Niagara Falls, ON},
keywords = {NN; control},
}
%0 Conference Proceedings
%T A Neural Network type Feedback law for linear systems with position and rate limited actuators
%A Rouhani, Modjtaba
%A M. B. Menhaj
%J Electrical and Computer Engineering, 2008. CCECE 2008. Canadian Conference on
%D 2008
