Predictive approaches to control of complex systems
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...
Enregistré dans:
| Auteurs principaux: | , |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2013.
Cham : Springer Nature |
| Collection: | Studies in Computational Intelligence
454 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Predictive Approaches to Control of Complex Systems, Texte imprimé, 9783642339462 • Predictive Approaches to Control of Complex Systems, Texte imprimé, 9783642339486 • Predictive Approaches to Control of Complex Systems, Texte imprimé, 9783642439773 |
| LEADER | 03976nam a22003497a 4500 | ||
|---|---|---|---|
| 001 | 950221 | ||
| 008 | 130325s2013 xx ||| |||| 00| 0 eng d | ||
| 009 | PPN168325772 | ||
| 020 | |a 9783642339479 | ||
| 041 | 0 | |a eng | |
| 082 | |a 629.8 | ||
| 100 | 1 | |a Karer, Gorazd, |d 19..- | |
| 245 | 1 | 0 | |a Predictive approaches to control of complex systems |c by Gorazd Karer, Igor Škrjanc. |
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c 2013. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 454 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a 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. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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. | ||
| 700 | 1 | |a Skrjanc, Igor. |4 aut | |
| 776 | 0 | |t Predictive Approaches to Control of Complex Systems |b Texte imprimé |z 9783642339462 | |
| 776 | 0 | |t Predictive Approaches to Control of Complex Systems |b Texte imprimé |z 9783642339486 | |
| 776 | 0 | |t Predictive Approaches to Control of Complex Systems |b Texte imprimé |z 9783642439773 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-642-33947-9 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-0PTF415G-8 |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:748046038 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-3-642-33947-9 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:751497142 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-3-642-33947-9 |z Accès INSA CVL | |
| 997 | |0 950221 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||

