Determination of the Region of Stabilizing Controller Parameters of Polytopic Polynomials
In the scenario of robust controller design for any given MIMO process system, control-designer faces real challenges in computing the optimum region of controller-parameters by following the conventional methodologies. Such methods are, in fact, much complex for analyzing and hence time consuming....
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IFSA Publishing, S.L.
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doaj-fb7087da247c458ea0abbbfbec52d9d72020-11-24T21:46:45ZengIFSA Publishing, S.L.Sensors & Transducers2306-85151726-54792010-08-011198174181Determination of the Region of Stabilizing Controller Parameters of Polytopic PolynomialsI. Thirunavukkarasu0V. I. George1Mukund Kumar Menon2S. Shanmuga Priya3Dept of ICE, MIT, Manipal-IndiaDept of ICE, MIT, Manipal-IndiaDept of ICE, MIT, Manipal-IndiaDept of Chemical Engg, MIT, Manipal- IndiaIn the scenario of robust controller design for any given MIMO process system, control-designer faces real challenges in computing the optimum region of controller-parameters by following the conventional methodologies. Such methods are, in fact, much complex for analyzing and hence time consuming. In this paper, we employ the method of Kharitonov’s Theorem to determine the region for stabilizing controller-parameters (of polytypic polynomials). The main advantage of using this method is that it can be adopted or not only SISO, but also for MIMO system of any order; even if having perturbations in them. The Generalized Kharitonov Theorem given here provides a constructive solution to this problem by reducing it to the Hurwitz stability of a prescribed set of extremal line segments. The number of line segments in this test set is independent of the dimension of the parameter space. This test set has many important extremal properties that are useful in control systems. http://www.sensorsportal.com/HTML/DIGEST/august_2010/P_668.pdfMIMO systemRobust stabilityNon square matrixRegion of stabilizing |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
I. Thirunavukkarasu V. I. George Mukund Kumar Menon S. Shanmuga Priya |
spellingShingle |
I. Thirunavukkarasu V. I. George Mukund Kumar Menon S. Shanmuga Priya Determination of the Region of Stabilizing Controller Parameters of Polytopic Polynomials Sensors & Transducers MIMO system Robust stability Non square matrix Region of stabilizing |
author_facet |
I. Thirunavukkarasu V. I. George Mukund Kumar Menon S. Shanmuga Priya |
author_sort |
I. Thirunavukkarasu |
title |
Determination of the Region of Stabilizing Controller Parameters of Polytopic Polynomials |
title_short |
Determination of the Region of Stabilizing Controller Parameters of Polytopic Polynomials |
title_full |
Determination of the Region of Stabilizing Controller Parameters of Polytopic Polynomials |
title_fullStr |
Determination of the Region of Stabilizing Controller Parameters of Polytopic Polynomials |
title_full_unstemmed |
Determination of the Region of Stabilizing Controller Parameters of Polytopic Polynomials |
title_sort |
determination of the region of stabilizing controller parameters of polytopic polynomials |
publisher |
IFSA Publishing, S.L. |
series |
Sensors & Transducers |
issn |
2306-8515 1726-5479 |
publishDate |
2010-08-01 |
description |
In the scenario of robust controller design for any given MIMO process system, control-designer faces real challenges in computing the optimum region of controller-parameters by following the conventional methodologies. Such methods are, in fact, much complex for analyzing and hence time consuming. In this paper, we employ the method of Kharitonov’s Theorem to determine the region for stabilizing controller-parameters (of polytypic polynomials). The main advantage of using this method is that it can be adopted or not only SISO, but also for MIMO system of any order; even if having perturbations in them. The Generalized Kharitonov Theorem given here provides a constructive solution to this problem by reducing it to the Hurwitz stability of a prescribed set of extremal line segments. The number of line segments in this test set is independent of the dimension of the parameter space. This test set has many important extremal properties that are useful in control systems.
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topic |
MIMO system Robust stability Non square matrix Region of stabilizing |
url |
http://www.sensorsportal.com/HTML/DIGEST/august_2010/P_668.pdf |
work_keys_str_mv |
AT ithirunavukkarasu determinationoftheregionofstabilizingcontrollerparametersofpolytopicpolynomials AT vigeorge determinationoftheregionofstabilizingcontrollerparametersofpolytopicpolynomials AT mukundkumarmenon determinationoftheregionofstabilizingcontrollerparametersofpolytopicpolynomials AT sshanmugapriya determinationoftheregionofstabilizingcontrollerparametersofpolytopicpolynomials |
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1725900228544954368 |