Multivariable process identification

Qing Guo Wang; Zhen Ye; Wen Jian Cai; Chang Chieh Hang

doi:10.1007/978-3-540-78482-1_9

Multivariable process identification

Qing Guo Wang, Zhen Ye, Wen Jian Cai, Chang Chieh Hang

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Citation (Scopus)

Abstract

Chapters 5-7 present several new PID controller design methods for MIMO systems but all these methods are model-based. That's why system identification plays an important role in the control engineering. This chapter focuses on system identification for both SISO and MIMO systems. Several identification algorithms are presented. The biggest improvement to the existing methods is that our methods can give accurate system model even in presence of time delay, unknown initial conditions and disturbances.

Original language	English
Title of host publication	PID Control for Multivariate Processes
Pages	219-249
Number of pages	31
DOIs	https://doi.org/10.1007/978-3-540-78482-1_9
Publication status	Published - 2008
Externally published	Yes

Publication series

Name	Lecture Notes in Control and Information Sciences
Volume	373
ISSN (Print)	0170-8643

ASJC Scopus subject areas

Library and Information Sciences

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10.1007/978-3-540-78482-1_9

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title = "Multivariable process identification",

abstract = "Chapters 5-7 present several new PID controller design methods for MIMO systems but all these methods are model-based. That's why system identification plays an important role in the control engineering. This chapter focuses on system identification for both SISO and MIMO systems. Several identification algorithms are presented. The biggest improvement to the existing methods is that our methods can give accurate system model even in presence of time delay, unknown initial conditions and disturbances.",

author = "Wang, {Qing Guo} and Zhen Ye and Cai, {Wen Jian} and Hang, {Chang Chieh}",

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AU - Wang, Qing Guo

AU - Ye, Zhen

AU - Cai, Wen Jian

AU - Hang, Chang Chieh

PY - 2008

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AB - Chapters 5-7 present several new PID controller design methods for MIMO systems but all these methods are model-based. That's why system identification plays an important role in the control engineering. This chapter focuses on system identification for both SISO and MIMO systems. Several identification algorithms are presented. The biggest improvement to the existing methods is that our methods can give accurate system model even in presence of time delay, unknown initial conditions and disturbances.

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U2 - 10.1007/978-3-540-78482-1_9

DO - 10.1007/978-3-540-78482-1_9

M3 - Chapter

AN - SCOPUS:39449086694

SN - 9783540784814

T3 - Lecture Notes in Control and Information Sciences

SP - 219

EP - 249

BT - PID Control for Multivariate Processes

ER -

Multivariable process identification

Abstract

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