On the extension of Rosenbrock's theory in algebraic design on multivariable controllers.

Manuel de la Sen

Stochastica (1986)

  • Volume: 10, Issue: 2, page 113-132
  • ISSN: 0210-7821

Abstract

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System similarity and system strict equivalence concepts from Rosenbrock's theory on linear systems are used to establish algebraic conditions of model matching as well as an algebraic method for design of centralized compensators. The ideas seem to be extensible without difficulty to a class of decentralized control.

How to cite

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Sen, Manuel de la. "On the extension of Rosenbrock's theory in algebraic design on multivariable controllers.." Stochastica 10.2 (1986): 113-132. <http://eudml.org/doc/38948>.

@article{Sen1986,
abstract = {System similarity and system strict equivalence concepts from Rosenbrock's theory on linear systems are used to establish algebraic conditions of model matching as well as an algebraic method for design of centralized compensators. The ideas seem to be extensible without difficulty to a class of decentralized control.},
author = {Sen, Manuel de la},
journal = {Stochastica},
keywords = {Sistemas de control; Control multivariable; Diseño; Sistemas lineales; Optimización; control system design; polynomial algebra; linear feedback; dynamical precompensator},
language = {eng},
number = {2},
pages = {113-132},
title = {On the extension of Rosenbrock's theory in algebraic design on multivariable controllers.},
url = {http://eudml.org/doc/38948},
volume = {10},
year = {1986},
}

TY - JOUR
AU - Sen, Manuel de la
TI - On the extension of Rosenbrock's theory in algebraic design on multivariable controllers.
JO - Stochastica
PY - 1986
VL - 10
IS - 2
SP - 113
EP - 132
AB - System similarity and system strict equivalence concepts from Rosenbrock's theory on linear systems are used to establish algebraic conditions of model matching as well as an algebraic method for design of centralized compensators. The ideas seem to be extensible without difficulty to a class of decentralized control.
LA - eng
KW - Sistemas de control; Control multivariable; Diseño; Sistemas lineales; Optimización; control system design; polynomial algebra; linear feedback; dynamical precompensator
UR - http://eudml.org/doc/38948
ER -

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