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Item Details
| Title:
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INDUSTRIAL PROCESS IDENTIFICATION AND CONTROL DESIGN
STEP-TEST AND RELAY-EXPERIMENT-BASED METHODS |
| By: |
Tao Liu, Furong Gao |
| Format: |
Paperback |
| List price:
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£119.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
1447160169 |
| ISBN 13: |
9781447160168 |
| Publisher: |
SPRINGER LONDON LTD |
| Pub. date: |
26 January, 2014 |
| Edition: |
2012 ed. |
| Series: |
Advances in Industrial Control |
| Pages: |
474 |
| Description: |
This volume 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. Methods are well illustrated by practical examples. |
| Synopsis: |
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. |
| Illustrations: |
18 Tables, black and white; XXVI, 474 p. |
| Publication: |
UK |
| Imprint: |
Springer London Ltd |
| Returns: |
Returnable |
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