MARC details
| 000 -LEADER |
| fixed length control field |
01744nam a2200241 a 4500 |
| 001 - CONTROL NUMBER |
| control field |
vtls000085805 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20251125103043.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
150416t2011 ci a f 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9789533072982 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9533072989 |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] |
| Level of rules in bibliographic description |
201508281120 |
| Level of effort used to assign nonsubject heading access points |
asma |
| Level of effort used to assign subject headings |
201508281119 |
| Level of effort used to assign classification |
asma |
| Level of effort used to assign subject headings |
201508281119 |
| Level of effort used to assign classification |
asma |
| -- |
201504161621 |
| -- |
ezzatul |
| 040 ## - CATALOGING SOURCE |
| Original cataloging agency |
UMP |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
TJ217.6 .A38 2011 |
| 245 00 - TITLE STATEMENT |
| Title |
Advanced model predictive control / |
| Statement of responsibility, etc. |
edited by Tao Zheng |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
| Place of publication, distribution, etc. |
Croatia : |
| Name of publisher, distributor, etc. |
INTECH, |
| Date of publication, distribution, etc. |
2011 |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
x, 418 p. : |
| Other physical details |
ill. ; |
| Dimensions |
26 cm. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc. note |
Includes bibliographical references |
| 520 ## - SUMMARY, ETC. |
| Summary, etc. |
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 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Predictive control |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Zheng, Tao |