Advanced Model Predictive Control / / Tao Zheng, editor.
Model Predictive Control (MPC) refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance. From lower request of modeling accuracy and robustness to complicated process plants, MPC has been widely accepted in many practical fields. As...
Saved in:
TeilnehmendeR: | |
---|---|
Place / Publishing House: | Rijeka, Croatia : : InTech,, [2011] ©2011 |
Year of Publication: | 2011 |
Language: | English |
Physical Description: | 1 online resource (x, 418 pages) :; illustrations |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
LEADER | 02339nam a2200409 i 4500 | ||
---|---|---|---|
001 | 993547978104498 | ||
005 | 20230803201524.0 | ||
006 | m o d | ||
007 | cr#||||||||||| | ||
008 | 221015s2011 ci a ob 001 0 eng d | ||
020 | |a 953-51-6015-X | ||
035 | |a (CKB)3230000000075368 | ||
035 | |a (NjHacI)993230000000075368 | ||
035 | |a (oapen)https://directory.doabooks.org/handle/20.500.12854/65001 | ||
035 | |a (EXLCZ)993230000000075368 | ||
040 | |a NjHacI |b eng |e rda |c NjHacl | ||
041 | 0 | |a eng | |
050 | 4 | |a TJ217.6 |b .A383 2011 | |
082 | 0 | 4 | |a 629.8 |2 23 |
100 | 1 | |a Zheng, Tao |4 edt | |
245 | 0 | 0 | |a Advanced Model Predictive Control / |c Tao Zheng, editor. |
260 | |b IntechOpen |c 2011 | ||
264 | 1 | |a Rijeka, Croatia : |b InTech, |c [2011] | |
264 | 4 | |c ©2011 | |
300 | |a 1 online resource (x, 418 pages) : |b illustrations | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
588 | |a Description based on: online resource; title from PDF information screen (InTech, viewed October 13, 2022). | ||
504 | |a Includes bibliographical references and index. | ||
506 | |a Open access |f Unrestricted online access |2 star | ||
520 | |a Model Predictive Control (MPC) refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance. From lower request of modeling accuracy and robustness to complicated process plants, MPC has been widely accepted in many practical fields. As the guide for researchers and engineers all over the world concerned with the latest developments of MPC, the purpose of "Advanced Model Predictive Control" is to show the readers the recent achievements in this area. The first part of this exciting book will help you comprehend the frontiers in theoretical research of MPC, such as Fast MPC, Nonlinear MPC, Distributed MPC, Multi-Dimensional MPC and Fuzzy-Neural MPC. In the second part, several excellent applications of MPC in modern industry are proposed and efficient commercial software for MPC is introduced. Because of its special industrial origin, we believe that MPC will remain energetic in the future. | ||
546 | |a English | ||
650 | 0 | |a Predictive control. | |
653 | |a Automatic control engineering | ||
776 | |z 953-307-298-9 | ||
700 | 1 | |a Zheng, Tao, |e editor. | |
906 | |a BOOK | ||
ADM | |b 2023-08-05 08:53:28 Europe/Vienna |f system |c marc21 |a 2012-12-09 08:17:33 Europe/Vienna |g false | ||
AVE | |i DOAB Directory of Open Access Books |P DOAB Directory of Open Access Books |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5338695990004498&Force_direct=true |Z 5338695990004498 |b Available |8 5338695990004498 |