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Industrial Process Identification And Control Design Steptest And Relayexperimentbased Methods 1st Edition Tao Liu

  • SKU: BELL-2510802
Industrial Process Identification And Control Design Steptest And Relayexperimentbased Methods 1st Edition Tao Liu
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Industrial Process Identification And Control Design Steptest And Relayexperimentbased Methods 1st Edition Tao Liu instant download after payment.

Publisher: Springer-Verlag London
File Extension: PDF
File size: 7.17 MB
Pages: 474
Author: Tao Liu, Furong Gao (auth.)
ISBN: 9780857299765, 085729976X
Language: English
Year: 2012
Edition: 1

Product desciption

Industrial Process Identification And Control Design Steptest And Relayexperimentbased Methods 1st Edition Tao Liu by Tao Liu, Furong Gao (auth.) 9780857299765, 085729976X instant download after payment.

Industrial Process Identification and Control Design is devoted to advanced identification and control methods for the operation of continuous-time processes both with and without time delay, in industrial and chemical engineering practice. The simple and practical step- or relay-feedback test is employed when applying the proposed identification techniques, which are classified in terms of common industrial process type: open-loop stable; integrating; and unstable, respectively. Correspondingly, control system design and tuning models that follow are presented for single-input-single-output processes. Furthermore, new two-degree-of-freedom control strategies and cascade control system design methods are explored with reference to independently-improving, set-point tracking and load disturbance rejection. Decoupling, multi-loop, and decentralized control techniques for the operation of multiple-input-multiple-output processes are also detailed. Perfect tracking of a desire output trajectory is realized using iterative learning control in uncertain industrial batch processes. All the proposed methods are presented in an easy-to-follow style, illustrated by examples and practical applications. This book will be valuable for researchers in system identification and control theory, and will also be of interest to graduate control students from process, chemical, and electrical engineering backgrounds and to practising control engineers in the process industry.

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