Algorithm for computer aided optimal control system design

A. R. Gaiduk; Yuri Vershinin; A. Jawaid

doi:10.1109/CACSD.2002.1036951

Algorithm for computer aided optimal control system design

A. R. Gaiduk, Yuri Vershinin, A. Jawaid

Research output: Contribution to conference › Paper › peer-review

Abstract

The paper describes a new algorithm of optimal control system design for a linear, time-invariant, single-input single-output plant. The proposed algorithm has low computational complexity, high stability and possesses the clear physical sense of the existence conditions of the design problem solution. The reference (command) signal and disturbances can include random and regular components. The algorithm is based on the matrix method solution of the polynomial equations. Numerical examples are given.

Original language	English
Pages	187 - 192
DOIs	https://doi.org/10.1109/CACSD.2002.1036951
Publication status	Published - 2002
Event	IEEE International Symposium on Computer Aided Control System Design - Glasgow, United Kingdom Duration: 18 Sep 2002 → 20 Sep 2002

Conference

Conference	IEEE International Symposium on Computer Aided Control System Design
Country/Territory	United Kingdom
City	Glasgow
Period	18/09/02 → 20/09/02

Bibliographical note

The full text is currently unavailable on the repository.

Keywords

control system CAD
frequency-domain analysis
linear systems
optimal control
optimisation
polynomial matrices
stability
SISO systems
frequency domain
linear time-invariant system
polynomial equations
polynomial matrix
Algorithm design and analysis
Computational complexity
Control systems
Laplace equations
Least squares methods
Optimal control
Polynomials
Radio control
Riccati equations
Stability

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10.1109/CACSD.2002.1036951

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title = "Algorithm for computer aided optimal control system design",

abstract = "The paper describes a new algorithm of optimal control system design for a linear, time-invariant, single-input single-output plant. The proposed algorithm has low computational complexity, high stability and possesses the clear physical sense of the existence conditions of the design problem solution. The reference (command) signal and disturbances can include random and regular components. The algorithm is based on the matrix method solution of the polynomial equations. Numerical examples are given.",

keywords = "control system CAD, frequency-domain analysis, linear systems, optimal control, optimisation, polynomial matrices, stability, SISO systems, frequency domain, linear time-invariant system, polynomial equations, polynomial matrix, Algorithm design and analysis, Computational complexity, Control systems, Laplace equations, Least squares methods, Optimal control, Polynomials, Radio control, Riccati equations, Stability",

author = "Gaiduk, {A. R.} and Yuri Vershinin and A. Jawaid",

note = "The full text is currently unavailable on the repository.; IEEE International Symposium on Computer Aided Control System Design ; Conference date: 18-09-2002 Through 20-09-2002",

year = "2002",

doi = "10.1109/CACSD.2002.1036951",

language = "English",

pages = "187 -- 192",

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TY - CONF

T1 - Algorithm for computer aided optimal control system design

AU - Gaiduk, A. R.

AU - Vershinin, Yuri

AU - Jawaid, A.

N1 - The full text is currently unavailable on the repository.

PY - 2002

Y1 - 2002

N2 - The paper describes a new algorithm of optimal control system design for a linear, time-invariant, single-input single-output plant. The proposed algorithm has low computational complexity, high stability and possesses the clear physical sense of the existence conditions of the design problem solution. The reference (command) signal and disturbances can include random and regular components. The algorithm is based on the matrix method solution of the polynomial equations. Numerical examples are given.

AB - The paper describes a new algorithm of optimal control system design for a linear, time-invariant, single-input single-output plant. The proposed algorithm has low computational complexity, high stability and possesses the clear physical sense of the existence conditions of the design problem solution. The reference (command) signal and disturbances can include random and regular components. The algorithm is based on the matrix method solution of the polynomial equations. Numerical examples are given.

KW - control system CAD

KW - frequency-domain analysis

KW - linear systems

KW - optimal control

KW - optimisation

KW - polynomial matrices

KW - stability

KW - SISO systems

KW - frequency domain

KW - linear time-invariant system

KW - polynomial equations

KW - polynomial matrix

KW - Algorithm design and analysis

KW - Computational complexity

KW - Control systems

KW - Laplace equations

KW - Least squares methods

KW - Optimal control

KW - Polynomials

KW - Radio control

KW - Riccati equations

KW - Stability

U2 - 10.1109/CACSD.2002.1036951

DO - 10.1109/CACSD.2002.1036951

M3 - Paper

SP - 187

EP - 192

T2 - IEEE International Symposium on Computer Aided Control System Design

Y2 - 18 September 2002 through 20 September 2002

ER -

Algorithm for computer aided optimal control system design

Abstract

Conference

Bibliographical note

Keywords

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