A new approach for the solution of the optimal set-point tracking problem for nonlinear systems

Victor Manuel Becerra; P. D. Roberts

doi:10.1049/cp:19940244

A new approach for the solution of the optimal set-point tracking problem for nonlinear systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, a discrete time dynamic integrated system optimisation and parameter estimation algorithm is applied to the solution of the nonlinear tracking optimal control problem. A version of the algorithm with a linear-quadratic model-based problem is developed and implemented in software. The algorithm implemented is tested with simulation examples.

Original language	English
Title of host publication	Control '94. International Conference on Control, 1994
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	849-854
Volume	1
ISBN (Print)	0852966105
DOIs	https://doi.org/10.1049/cp:19940244
Publication status	Published - 1 Mar 1994

Keywords

discrete-time dynamic integrated system optimisation, linear-quadratic model-based problem, nonlinear systems, nonlinear tracking optimal control, optimal set-point tracking problem, parameter estimation

Access to Document

10.1049/cp:19940244

Cite this

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title = "A new approach for the solution of the optimal set-point tracking problem for nonlinear systems",

abstract = "In this paper, a discrete time dynamic integrated system optimisation and parameter estimation algorithm is applied to the solution of the nonlinear tracking optimal control problem. A version of the algorithm with a linear-quadratic model-based problem is developed and implemented in software. The algorithm implemented is tested with simulation examples.",

keywords = "discrete-time dynamic integrated system optimisation, linear-quadratic model-based problem, nonlinear systems, nonlinear tracking optimal control, optimal set-point tracking problem, parameter estimation",

author = "Becerra, {Victor Manuel} and Roberts, {P. D.}",

year = "1994",

month = mar,

day = "1",

doi = "10.1049/cp:19940244",

language = "English",

isbn = "0852966105",

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pages = "849--854",

booktitle = "Control '94. International Conference on Control, 1994",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

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A new approach for the solution of the optimal set-point tracking problem for nonlinear systems. / Becerra, Victor Manuel; Roberts, P. D.
Control '94. International Conference on Control, 1994. Vol. 1 Piscataway: Institute of Electrical and Electronics Engineers Inc., 1994. p. 849-854.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

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AU - Roberts, P. D.

PY - 1994/3/1

Y1 - 1994/3/1

N2 - In this paper, a discrete time dynamic integrated system optimisation and parameter estimation algorithm is applied to the solution of the nonlinear tracking optimal control problem. A version of the algorithm with a linear-quadratic model-based problem is developed and implemented in software. The algorithm implemented is tested with simulation examples.

AB - In this paper, a discrete time dynamic integrated system optimisation and parameter estimation algorithm is applied to the solution of the nonlinear tracking optimal control problem. A version of the algorithm with a linear-quadratic model-based problem is developed and implemented in software. The algorithm implemented is tested with simulation examples.

KW - discrete-time dynamic integrated system optimisation, linear-quadratic model-based problem, nonlinear systems, nonlinear tracking optimal control, optimal set-point tracking problem, parameter estimation

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DO - 10.1049/cp:19940244

M3 - Conference contribution

SN - 0852966105

VL - 1

SP - 849

EP - 854

BT - Control '94. International Conference on Control, 1994

PB - Institute of Electrical and Electronics Engineers Inc.

CY - Piscataway

ER -

A new approach for the solution of the optimal set-point tracking problem for nonlinear systems

Abstract

Keywords

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