Multivariable Process Identification
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 b
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Qing-Guo Wang, Zhen Ye, Wen-Jian Cai, Chang-Chieh Hang
PID Control for Multivariable Processes
ABC
Series Advisory Board F. Allgöwer, P. Fleming, P. Kokotovic, A.B. Kurzhanski, H. Kwakernaak, A. Rantzer, J.N. Tsitsiklis
Authors Qing-Guo Wang
Wen-Jian Cai
Department of Electrical & Computer Engineering National University of Singapore 10 Kent Ridge Crescent Singapore 119260 Republic of Singapore Email: [email protected]
School of Electrical & Electronic Engineering Nanyang Technological University Singapore 639798 Republic of Singapore Email: [email protected]
Zhen Ye
Chang-Chieh Hang
Department of Electrical & Computer Engineering National University of Singapore 10 Kent Ridge Crescent Singapore 119260 Republic of Singapore
Department of Electrical & Computer Engineering National University of Singapore 10 Kent Ridge Crescent Singapore 119260 Republic of Singapore Email: [email protected]
ISBN 978-3-540-78481-4
e-ISBN 978-3-540-78482-1
DOI 10.1007/978-3-540-78482-1 Lecture Notes in Control and Information Sciences
ISSN 0170-8643
Library of Congress Control Number: 2008921515 c 2008
Springer-Verlag Berlin Heidelberg
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Preface
There are rich theories and designs for general control systems, but usually, they will not lead to PID controllers. Noting that the PID controller has been the most popular one in industry for over fifty years, we will confine our discussion here to PID control only. PID control has been an important research topic since 1950’s, and causes remarkable activities for the last two decades. Most of the existing works have been on the single variable PID control and its theory and design are well established, understood and practically applied. However, most industrial processes are of multivariable nature. It is not rare that the overall multivariable PID control system could fail although each PID loop may work well. Thus, demand for addressing multivariable interactions is high for successful application of PID control in multivariable processes and it is evident from major leading control companies who all
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