Predictive Approaches to Control of Complex Systems (Record no. 46386)
[ view plain ]
000 -LEADER | |
---|---|
fixed length control field | 03616nam a22005057a 4500 |
001 - CONTROL NUMBER | |
control field | sulb-eb0024294 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | BD-SySUS |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20160413122432.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
fixed length control field | cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 120920s2013 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9783642339479 |
-- | 978-3-642-33947-9 |
024 7# - OTHER STANDARD IDENTIFIER | |
Standard number or code | 10.1007/978-3-642-33947-9 |
Source of number or code | doi |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | TJ212-225 |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | TJFM |
Source | bicssc |
Subject category code | TEC004000 |
Source | bisacsh |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 629.8 |
Edition number | 23 |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Karer, Gorazd. |
Relator term | author. |
245 10 - TITLE STATEMENT | |
Title | Predictive Approaches to Control of Complex Systems |
Medium | [electronic resource] / |
Statement of responsibility, etc. | by Gorazd Karer, Igor Škrjanc. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | Berlin, Heidelberg : |
Name of producer, publisher, distributor, manufacturer | Springer Berlin Heidelberg : |
-- | Imprint: Springer, |
Date of production, publication, distribution, manufacture, or copyright notice | 2013. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | XII, 260 p. |
Other physical details | online resource. |
336 ## - CONTENT TYPE | |
Content type term | text |
Content type code | txt |
Source | rdacontent |
337 ## - MEDIA TYPE | |
Media type term | computer |
Media type code | c |
Source | rdamedia |
338 ## - CARRIER TYPE | |
Carrier type term | online resource |
Carrier type code | cr |
Source | rdacarrier |
347 ## - DIGITAL FILE CHARACTERISTICS | |
File type | text file |
Encoding format | |
Source | rda |
490 1# - SERIES STATEMENT | |
Series statement | Studies in Computational Intelligence, |
International Standard Serial Number | 1860-949X ; |
Volume/sequential designation | 454 |
505 0# - FORMATTED CONTENTS NOTE | |
Formatted contents note | Introduction -- Modeling of complex systems for predictive control -- Modeling an identification of a batch reactor -- Predictive control of complex systems -- Predictive control of complex systems. |
520 ## - SUMMARY, ETC. | |
Summary, etc. | A predictive control algorithm uses a model of the controlled system to predict the system behavior for various input scenarios and determines the most appropriate inputs accordingly. Predictive controllers are suitable for a wide range of systems; therefore, their advantages are especially evident when dealing with relatively complex systems, such as nonlinear, constrained, hybrid, multivariate systems etc. However, designing a predictive control strategy for a complex system is generally a difficult task, because all relevant dynamical phenomena have to be considered. Establishing a suitable model of the system is an essential part of predictive control design. Classic modeling and identification approaches based on linear-systems theory are generally inappropriate for complex systems; hence, models that are able to appropriately consider complex dynamical properties have to be employed in a predictive control algorithm. This book first introduces some modeling frameworks, which can encompass the most frequently encountered complex dynamical phenomena and are practically applicable in the proposed predictive control approaches. Furthermore, unsupervised learning methods that can be used for complex-system identification are treated. Finally, several useful predictive control algorithms for complex systems are proposed and their particular advantages and drawbacks are discussed. The presented modeling, identification and control approaches are complemented by illustrative examples. The book is aimed towards researches and postgraduate students interested in modeling, identification and control, as well as towards control engineers needing practically usable advanced control methods for complex systems. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Engineering. |
Topical term or geographic name as entry element | System theory. |
Topical term or geographic name as entry element | Complexity, Computational. |
Topical term or geographic name as entry element | Control engineering. |
Topical term or geographic name as entry element | Engineering. |
Topical term or geographic name as entry element | Control. |
Topical term or geographic name as entry element | Complexity. |
Topical term or geographic name as entry element | Systems Theory, Control. |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Škrjanc, Igor. |
Relator term | author. |
710 2# - ADDED ENTRY--CORPORATE NAME | |
Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY | |
Title | Springer eBooks |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Relationship information | Printed edition: |
International Standard Book Number | 9783642339462 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
Uniform title | Studies in Computational Intelligence, |
International Standard Serial Number | 1860-949X ; |
Volume number/sequential designation | 454 |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="http://dx.doi.org/10.1007/978-3-642-33947-9">http://dx.doi.org/10.1007/978-3-642-33947-9</a> |
912 ## - | |
-- | ZDB-2-ENG |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | |
Koha item type |
No items available.