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Nonlinear control by input-output pole assignment: state space derivation.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Nonlinear control by input-output pole assignment: state space derivation. / Taylor, C. James; Chotai, Arun.
UKACC International Conference Control 2010. ed. / K.J. Burnham; V.E. Ersanilli. 2010. p. 1076-1081.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Taylor, CJ & Chotai, A 2010, Nonlinear control by input-output pole assignment: state space derivation. in KJ Burnham & VE Ersanilli (eds), UKACC International Conference Control 2010. pp. 1076-1081.

APA

Taylor, C. J., & Chotai, A. (2010). Nonlinear control by input-output pole assignment: state space derivation. In K. J. Burnham, & V. E. Ersanilli (Eds.), UKACC International Conference Control 2010 (pp. 1076-1081)

Vancouver

Taylor CJ, Chotai A. Nonlinear control by input-output pole assignment: state space derivation. In Burnham KJ, Ersanilli VE, editors, UKACC International Conference Control 2010. 2010. p. 1076-1081

Author

Taylor, C. James ; Chotai, Arun. / Nonlinear control by input-output pole assignment: state space derivation. UKACC International Conference Control 2010. editor / K.J. Burnham ; V.E. Ersanilli. 2010. pp. 1076-1081

Bibtex

@inproceedings{0e6eebf509e748f087ae7f35399919ac,
title = "Nonlinear control by input-output pole assignment: state space derivation.",
abstract = "This paper considers pole assignment control of nonlinear dynamic systems described by State Dependent Parameter (SDP) models. The approach follows from earlier research into linear Non-Minimal State Space (NMSS) methods but, in the nonlinear case, the control gains are updated at each sampling instant. The algorithm is derived directly from the NMSS model, necessitating the introduction of a state dependent transformation matrix. This state variable feedback derivation lends itself to straightforward controllability and stability analysis. In this regard, the paper shows that the closed-loop system reduces to a linear transfer function with the specified poles; and that these differ from the closed-loop transition matrix eigenvalues.",
keywords = "State dependent parameter, time-varying parameter, non-minimal state space, nonlinear pole assignment, eigenvalues, discrete-time nonlinear systems",
author = "Taylor, {C. James} and Arun Chotai",
note = "Coventry University Paper 39",
year = "2010",
month = sep,
language = "English",
isbn = "978-184600-0386",
pages = "1076--1081",
editor = "K.J. Burnham and V.E. Ersanilli",
booktitle = "UKACC International Conference Control 2010",

}

RIS

TY - GEN

T1 - Nonlinear control by input-output pole assignment: state space derivation.

AU - Taylor, C. James

AU - Chotai, Arun

N1 - Coventry University Paper 39

PY - 2010/9

Y1 - 2010/9

N2 - This paper considers pole assignment control of nonlinear dynamic systems described by State Dependent Parameter (SDP) models. The approach follows from earlier research into linear Non-Minimal State Space (NMSS) methods but, in the nonlinear case, the control gains are updated at each sampling instant. The algorithm is derived directly from the NMSS model, necessitating the introduction of a state dependent transformation matrix. This state variable feedback derivation lends itself to straightforward controllability and stability analysis. In this regard, the paper shows that the closed-loop system reduces to a linear transfer function with the specified poles; and that these differ from the closed-loop transition matrix eigenvalues.

AB - This paper considers pole assignment control of nonlinear dynamic systems described by State Dependent Parameter (SDP) models. The approach follows from earlier research into linear Non-Minimal State Space (NMSS) methods but, in the nonlinear case, the control gains are updated at each sampling instant. The algorithm is derived directly from the NMSS model, necessitating the introduction of a state dependent transformation matrix. This state variable feedback derivation lends itself to straightforward controllability and stability analysis. In this regard, the paper shows that the closed-loop system reduces to a linear transfer function with the specified poles; and that these differ from the closed-loop transition matrix eigenvalues.

KW - State dependent parameter

KW - time-varying parameter

KW - non-minimal state space

KW - nonlinear pole assignment

KW - eigenvalues

KW - discrete-time nonlinear systems

M3 - Conference contribution/Paper

SN - 978-184600-0386

SP - 1076

EP - 1081

BT - UKACC International Conference Control 2010

A2 - Burnham, K.J.

A2 - Ersanilli, V.E.

ER -