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Robust PIP control of multivariable stochastic systems

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

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Robust PIP control of multivariable stochastic systems. / Taylor, James; Young, Peter; Chotai, Arunkumar.
12th International Conference on Systems Engineering. 1997.

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

Harvard

Taylor, J, Young, P & Chotai, A 1997, Robust PIP control of multivariable stochastic systems. in 12th International Conference on Systems Engineering.

APA

Taylor, J., Young, P., & Chotai, A. (1997). Robust PIP control of multivariable stochastic systems. In 12th International Conference on Systems Engineering

Vancouver

Taylor J, Young P, Chotai A. Robust PIP control of multivariable stochastic systems. In 12th International Conference on Systems Engineering. 1997

Author

Taylor, James ; Young, Peter ; Chotai, Arunkumar. / Robust PIP control of multivariable stochastic systems. 12th International Conference on Systems Engineering. 1997.

Bibtex

@inproceedings{aabc709527cd4efb9b7b0f60ff4dfd84,
title = "Robust PIP control of multivariable stochastic systems",
abstract = "This paper discusses the development of robust versions of multivariable Non-Minimal State Space (NMSS) design procedures, for Proportional-Integral-Plus (PIP) control systems. The formulation allows for the exploitation of any state variable feedback control procedure, including modern robust designs based on and methods, as well as risk sensitive optimisation. The control designs are evaluated on a multivariable coupled drive rig and the IFAC93 benchmark problem.",
keywords = "non-minimal state space, proportional-integral plus, robust control, risk sensitive control, IFAC93 benchmark",
author = "James Taylor and Peter Young and Arunkumar Chotai",
year = "1997",
language = "English",
booktitle = "12th International Conference on Systems Engineering",

}

RIS

TY - GEN

T1 - Robust PIP control of multivariable stochastic systems

AU - Taylor, James

AU - Young, Peter

AU - Chotai, Arunkumar

PY - 1997

Y1 - 1997

N2 - This paper discusses the development of robust versions of multivariable Non-Minimal State Space (NMSS) design procedures, for Proportional-Integral-Plus (PIP) control systems. The formulation allows for the exploitation of any state variable feedback control procedure, including modern robust designs based on and methods, as well as risk sensitive optimisation. The control designs are evaluated on a multivariable coupled drive rig and the IFAC93 benchmark problem.

AB - This paper discusses the development of robust versions of multivariable Non-Minimal State Space (NMSS) design procedures, for Proportional-Integral-Plus (PIP) control systems. The formulation allows for the exploitation of any state variable feedback control procedure, including modern robust designs based on and methods, as well as risk sensitive optimisation. The control designs are evaluated on a multivariable coupled drive rig and the IFAC93 benchmark problem.

KW - non-minimal state space

KW - proportional-integral plus

KW - robust control

KW - risk sensitive control

KW - IFAC93 benchmark

M3 - Conference contribution/Paper

BT - 12th International Conference on Systems Engineering

ER -