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Design, parametrization, and pole placement of stabilizing output feedback compensators via injective cogenerator quotient signal modules

Control design belongs to the most important and difficult tasks of control engineering and has therefore been treated by many prominent researchers and in many textbooks, the systems being generally described by their transfer matrices or by Rosenbrock equations and more recently also as behaviors....

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Detalles Bibliográficos
Autores principales: Blumthaler, Ingrid, Oberst, Ulrich
Formato: Online Artículo Texto
Lenguaje:English
Publicado: North Holland [etc.] 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3267041/
https://www.ncbi.nlm.nih.gov/pubmed/22389529
http://dx.doi.org/10.1016/j.laa.2011.05.016
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author Blumthaler, Ingrid
Oberst, Ulrich
author_facet Blumthaler, Ingrid
Oberst, Ulrich
author_sort Blumthaler, Ingrid
collection PubMed
description Control design belongs to the most important and difficult tasks of control engineering and has therefore been treated by many prominent researchers and in many textbooks, the systems being generally described by their transfer matrices or by Rosenbrock equations and more recently also as behaviors. Our approach to controller design uses, in addition to the ideas of our predecessors on coprime factorizations of transfer matrices and on the parametrization of stabilizing compensators, a new mathematical technique which enables simpler design and also new theorems in spite of the many outstanding results of the literature: (1) We use an injective cogenerator signal module [Formula: see text] over the polynomial algebra [Formula: see text] (F an infinite field), a saturated multiplicatively closed set T of stable polynomials and its quotient ring [Formula: see text] of stable rational functions. This enables the simultaneous treatment of continuous and discrete systems and of all notions of stability, called T-stability. We investigate stabilizing control design by output feedback of input/output (IO) behaviors and study the full feedback IO behavior, especially its autonomous part and not only its transfer matrix. (2) The new technique is characterized by the permanent application of the injective cogenerator quotient signal module [Formula: see text] and of quotient behaviors [Formula: see text] of [Formula: see text]-behaviors [Formula: see text]. (3) For the control tasks of tracking, disturbance rejection, model matching, and decoupling and not necessarily proper plants we derive necessary and sufficient conditions for the existence of proper stabilizing compensators with proper and stable closed loop behaviors, parametrize all such compensators as IO behaviors and not only their transfer matrices and give new algorithms for their construction. Moreover we solve the problem of pole placement or spectral assignability for the complete feedback behavior. The properness of the full feedback behavior ensures the absence of impulsive solutions in the continuous case, and that of the compensator enables its realization by Kalman state space equations or elementary building blocks. We note that every behavior admits an IO decomposition with proper transfer matrix, but that most of these decompositions do not have this property, and therefore we do not assume the properness of the plant. (4) The new technique can also be applied to more general control interconnections according to Willems, in particular to two-parameter feedback compensators and to the recent tracking framework of Fiaz/Takaba/Trentelman. In contrast to these authors, however, we pay special attention to the properness of all constructed transfer matrices which requires more subtle algorithms.
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spelling pubmed-32670412012-03-01 Design, parametrization, and pole placement of stabilizing output feedback compensators via injective cogenerator quotient signal modules Blumthaler, Ingrid Oberst, Ulrich Linear Algebra Appl Article Control design belongs to the most important and difficult tasks of control engineering and has therefore been treated by many prominent researchers and in many textbooks, the systems being generally described by their transfer matrices or by Rosenbrock equations and more recently also as behaviors. Our approach to controller design uses, in addition to the ideas of our predecessors on coprime factorizations of transfer matrices and on the parametrization of stabilizing compensators, a new mathematical technique which enables simpler design and also new theorems in spite of the many outstanding results of the literature: (1) We use an injective cogenerator signal module [Formula: see text] over the polynomial algebra [Formula: see text] (F an infinite field), a saturated multiplicatively closed set T of stable polynomials and its quotient ring [Formula: see text] of stable rational functions. This enables the simultaneous treatment of continuous and discrete systems and of all notions of stability, called T-stability. We investigate stabilizing control design by output feedback of input/output (IO) behaviors and study the full feedback IO behavior, especially its autonomous part and not only its transfer matrix. (2) The new technique is characterized by the permanent application of the injective cogenerator quotient signal module [Formula: see text] and of quotient behaviors [Formula: see text] of [Formula: see text]-behaviors [Formula: see text]. (3) For the control tasks of tracking, disturbance rejection, model matching, and decoupling and not necessarily proper plants we derive necessary and sufficient conditions for the existence of proper stabilizing compensators with proper and stable closed loop behaviors, parametrize all such compensators as IO behaviors and not only their transfer matrices and give new algorithms for their construction. Moreover we solve the problem of pole placement or spectral assignability for the complete feedback behavior. The properness of the full feedback behavior ensures the absence of impulsive solutions in the continuous case, and that of the compensator enables its realization by Kalman state space equations or elementary building blocks. We note that every behavior admits an IO decomposition with proper transfer matrix, but that most of these decompositions do not have this property, and therefore we do not assume the properness of the plant. (4) The new technique can also be applied to more general control interconnections according to Willems, in particular to two-parameter feedback compensators and to the recent tracking framework of Fiaz/Takaba/Trentelman. In contrast to these authors, however, we pay special attention to the properness of all constructed transfer matrices which requires more subtle algorithms. North Holland [etc.] 2012-03-01 /pmc/articles/PMC3267041/ /pubmed/22389529 http://dx.doi.org/10.1016/j.laa.2011.05.016 Text en © 2012 Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/3.0/ Open Access under CC BY-NC-ND 3.0 (https://creativecommons.org/licenses/by-nc-nd/3.0/) license
spellingShingle Article
Blumthaler, Ingrid
Oberst, Ulrich
Design, parametrization, and pole placement of stabilizing output feedback compensators via injective cogenerator quotient signal modules
title Design, parametrization, and pole placement of stabilizing output feedback compensators via injective cogenerator quotient signal modules
title_full Design, parametrization, and pole placement of stabilizing output feedback compensators via injective cogenerator quotient signal modules
title_fullStr Design, parametrization, and pole placement of stabilizing output feedback compensators via injective cogenerator quotient signal modules
title_full_unstemmed Design, parametrization, and pole placement of stabilizing output feedback compensators via injective cogenerator quotient signal modules
title_short Design, parametrization, and pole placement of stabilizing output feedback compensators via injective cogenerator quotient signal modules
title_sort design, parametrization, and pole placement of stabilizing output feedback compensators via injective cogenerator quotient signal modules
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3267041/
https://www.ncbi.nlm.nih.gov/pubmed/22389529
http://dx.doi.org/10.1016/j.laa.2011.05.016
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