The Search is performed on all of the following fields:
Note: Please use complete words only.

Publication Title

Abstract

Publication Keywords

DOI

Proceeding Title

Proceeding Foreword

ISBN (Completed)

Insticc Ontology

Author Affiliation

Author Name

Editor Name

If you're looking for an exact phrase use quotation marks on text fields.

Paper

ZEROS, OUTPUT-NULLING SUBSPACES AND ZERO DYNAMICS IN MIMO LTI SYSTEMS - Signal Processing, Systems Modelling and ControlTopics: Nonlinear Signals and Systems

Keyword(s):Linear systems, Output-zeroing problem, Zeros, Zero dynamics, Markov parameters.

Related
Ontology
Subjects/Areas/Topics:Informatics in Control, Automation and Robotics
;
Nonlinear Signals and Systems
;
Signal Processing, Sensors, Systems Modeling and Control

Abstract: In standard MIMO LTI continuous-time systems S(A,B,C) the classical notion of the Smith zeros does not characterize fully the output-zeroing problem nor the zero dynamics. The question how this notion can be extended and related to the state-space methods is discussed. Nothing is assumed about the relationship of the number of inputs to the number of outputs nor about the normal rank of the underlying system matrix. The proposed extension treats zeros (called further the invariant zeros) as the triples (complex number, nonzero state-zero direction, input-zero direction). Such treatment is strictly connected with the output zeroing problem and in that spirit the zeros can be easily interpreted even in the degenerate case (i.e., when any complex number is such zero). A simple sufficient and necessary condition of degeneracy is presented. The condition decomposes the class of all systems S(A,B,C) such that B ≠ 0 and C ≠ 0 into two disjoint subclasses: of nondegenerate and degenerate systems. In nondegenerate systems the Smith zeros and the invariant zeros are exactly the same objects which are determined as the roots of the so-called zero polynomial. The degree of this polynomial equals the dimension of the maximal (A,B)-invariant subspace contained in Ker C, while the zero dynamics are independent upon control vector. In degenerate systems the zero polynomial determines merely the Smith zeros, while the set of the invariant zeros equals the whole complex plane. The dimension of the maximal (A,B)-invariant subspace contained in Ker C is strictly larger than the degree of the zero polynomial, whereas the zero dynamics essentially depend upon control vector.(More)

In standard MIMO LTI continuous-time systems S(A,B,C) the classical notion of the Smith zeros does not characterize fully the output-zeroing problem nor the zero dynamics. The question how this notion can be extended and related to the state-space methods is discussed. Nothing is assumed about the relationship of the number of inputs to the number of outputs nor about the normal rank of the underlying system matrix. The proposed extension treats zeros (called further the invariant zeros) as the triples (complex number, nonzero state-zero direction, input-zero direction). Such treatment is strictly connected with the output zeroing problem and in that spirit the zeros can be easily interpreted even in the degenerate case (i.e., when any complex number is such zero). A simple sufficient and necessary condition of degeneracy is presented. The condition decomposes the class of all systems S(A,B,C) such that B ≠ 0 and C ≠ 0 into two disjoint subclasses: of nondegenerate and degenerate systems. In nondegenerate systems the Smith zeros and the invariant zeros are exactly the same objects which are determined as the roots of the so-called zero polynomial. The degree of this polynomial equals the dimension of the maximal (A,B)-invariant subspace contained in Ker C, while the zero dynamics are independent upon control vector. In degenerate systems the zero polynomial determines merely the Smith zeros, while the set of the invariant zeros equals the whole complex plane. The dimension of the maximal (A,B)-invariant subspace contained in Ker C is strictly larger than the degree of the zero polynomial, whereas the zero dynamics essentially depend upon control vector.

Guests can use SciTePress Digital Library without having a SciTePress account. However, guests have limited access to downloading full text versions of papers and no access to special options.

Guests can use SciTePress Digital Library without having a SciTePress account. However, guests have limited access to downloading full text versions of papers and no access to special options.

Tokarzewski J.; Sokalski L. and (2004). ZEROS, OUTPUT-NULLING SUBSPACES AND ZERO DYNAMICS IN MIMO LTI SYSTEMS - Signal Processing, Systems Modelling and Control.In Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 972-8865-12-0, pages 114-121. DOI: 10.5220/0001136001140121

@conference{icinco04, author={Jerzy Tokarzewski and Lech Sokalski}, title={ZEROS, OUTPUT-NULLING SUBSPACES AND ZERO DYNAMICS IN MIMO LTI SYSTEMS - Signal Processing, Systems Modelling and Control}, booktitle={Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,}, year={2004}, pages={114-121}, publisher={SciTePress}, organization={INSTICC}, doi={10.5220/0001136001140121}, isbn={972-8865-12-0}, }

TY - CONF

JO - Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, TI - ZEROS, OUTPUT-NULLING SUBSPACES AND ZERO DYNAMICS IN MIMO LTI SYSTEMS - Signal Processing, Systems Modelling and Control SN - 972-8865-12-0 AU - Tokarzewski, J. AU - Sokalski, L. PY - 2004 SP - 114 EP - 121 DO - 10.5220/0001136001140121