A partir de cette page vous pouvez :
publisher
| Retourner au premier écran avec les étagères virtuelles... |
Détail de l'éditeur
CRS Press
localisé à :
New York
Collections rattachées :
|
Documents disponibles chez cet éditeur
Ajouter le résultat dans votre panier Faire une suggestion Affiner la recherche Interroger des sources externesDeterministic learning theory for identification ,recognition ,and control / Cong Wang (cop. 2010)
Titre : Deterministic learning theory for identification ,recognition ,and control Type de document : texte imprime Auteurs : Cong Wang, Auteur ; Hill, David J., Auteur Editeur : New York : CRS Press Année de publication : cop. 2010 Importance : (XIX-195 p.) Présentation : ill., fig., graph., couv. ill Format : 24 cm ISBN/ISSN/EAN : 978-0-8493-7553-8 Note générale : BWX. - CDX. - AU@
Bibliogr. p.175-188. IndexLangues : Anglais Mots-clés : Commande,Théorie de la Commande intelligente Réseaux neuronaux (informatique) Intelligent control systems Neural networks (Computer science) Control theory Note de contenu :
Learning Issues in Feedback Control
Learning Issues in Temporal Pattern Recognition
Preview of the Main Topics
RBF Network Approximation and Persistence of Excitation
RBF Approximation and RBF Networks
Persistence of Excitation and Exponential Stability
PE Property for RBF Networks
The Dgeterministic Learning Mechanism
Problem Formulation
Locally-Accurate Identification of Systems Dynamics
Comparison with System Identification
Numerical Experiments
Summary
Deterministic Learning From Closed-Loop Control
Introduction
Learning from Adaptive NN Control
Learning from Direct Adaptive NN Control of Strict-Feedback Systems
Learning From Direct Adaptive NN Control of Nonlinear Systems in Brunovsky Form
Summary
Dynamical Pattern Recognition
Introduction
Time-Invariant Representation
A Fundamental Similarity Measure
Rapid Recognition of Dynamical Patterns
Dynamical Patern Classification
Summary
Pattern-Based Learning Control
Introduction
Pattern-Based Control
Learning Control Using Experiences
Simulation Studies
Summary
Deterministic Learning with Output Measurements
Introduction
Learning from State Observation
Non-High-Gain Observer Design
Rapid Recognition of Single-Variable Dynamical Patterns
Simulation Studies
Summary
Toward Human-Like Learning and Control
Knowledge Acquisition
Representation and Similarity
Knowledge Utilization
Towards Human-Like Learning and Control
Cognition and Computation
Comparison with Statistical Learning
Applications of the Deterministic Learning Theory
References
IndexEn ligne : https://www.amazon.fr/Deterministic-Learning-Identification-Recognition-Control/ [...] Permalink : ./index.php?lvl=notice_display&id=10050 Deterministic learning theory for identification ,recognition ,and control [texte imprime] / Cong Wang, Auteur ; Hill, David J., Auteur . - New York : CRS Press, cop. 2010 . - (XIX-195 p.) : ill., fig., graph., couv. ill ; 24 cm.
ISBN : 978-0-8493-7553-8
BWX. - CDX. - AU@
Bibliogr. p.175-188. Index
Langues : Anglais
Mots-clés : Commande,Théorie de la Commande intelligente Réseaux neuronaux (informatique) Intelligent control systems Neural networks (Computer science) Control theory Note de contenu :
Learning Issues in Feedback Control
Learning Issues in Temporal Pattern Recognition
Preview of the Main Topics
RBF Network Approximation and Persistence of Excitation
RBF Approximation and RBF Networks
Persistence of Excitation and Exponential Stability
PE Property for RBF Networks
The Dgeterministic Learning Mechanism
Problem Formulation
Locally-Accurate Identification of Systems Dynamics
Comparison with System Identification
Numerical Experiments
Summary
Deterministic Learning From Closed-Loop Control
Introduction
Learning from Adaptive NN Control
Learning from Direct Adaptive NN Control of Strict-Feedback Systems
Learning From Direct Adaptive NN Control of Nonlinear Systems in Brunovsky Form
Summary
Dynamical Pattern Recognition
Introduction
Time-Invariant Representation
A Fundamental Similarity Measure
Rapid Recognition of Dynamical Patterns
Dynamical Patern Classification
Summary
Pattern-Based Learning Control
Introduction
Pattern-Based Control
Learning Control Using Experiences
Simulation Studies
Summary
Deterministic Learning with Output Measurements
Introduction
Learning from State Observation
Non-High-Gain Observer Design
Rapid Recognition of Single-Variable Dynamical Patterns
Simulation Studies
Summary
Toward Human-Like Learning and Control
Knowledge Acquisition
Representation and Similarity
Knowledge Utilization
Towards Human-Like Learning and Control
Cognition and Computation
Comparison with Statistical Learning
Applications of the Deterministic Learning Theory
References
IndexEn ligne : https://www.amazon.fr/Deterministic-Learning-Identification-Recognition-Control/ [...] Permalink : ./index.php?lvl=notice_display&id=10050 Réservation
Réserver ce document
Exemplaires
Code-barres Cote Support Localisation Section Disponibilité C253/1 C253 Livre Magasin d'Ouvrages / FGE Commandes Consultation sur place
Exclu du prêtC253/2 C253 Livre Magasin d'Ouvrages / FGE Commandes Disponible C253/3 C253 Livre Magasin d'Ouvrages / FGE Commandes Disponible Aucun avis, veuillez vous identifier pour ajouter le vôtre !
Titre : Modeling and Analysis with Induction Generators Type de document : texte imprime Auteurs : M. Godoy Simões ; Felix A. Farret Mention d'édition : 3rd ed. Editeur : New York : CRS Press Année de publication : 2015 Collection : Power Electronics and Applications Series Importance : 444 p. Présentation : ill,couv.ill.en coul. Format : 24 cm ISBN/ISSN/EAN : 978-1-4822-4467-0 Note générale : Index Langues : Anglais Mots-clés : induction generators vector control Mathematical modeling Index. décimale : 621.319 Résumé : Features
Presents the fundamentals of and latest advances in the modeling and analysis of induction generators
Aids in understanding the process of self-excitation, numerical analysis of stand-alone and multiple induction generators, and requirements for optimized laboratory experimentation
Covers the application of modern vector control, optimization of power transference, use of doubly fed induction generators, computer-based simulations, and social and economic impacts
Summary
Now in its Third Edition, Alternative Energy Systems: Design and Analysis with Induction Generators has been renamed Modeling and Analysis with Induction Generators to convey the book’s primary objective—to present the fundamentals of and latest advances in the modeling and analysis of induction generators.
New to the Third Edition
Revised equations and mathematical modeling
Addition of solved problems as well as suggested problems at the end of each chapter
New modeling and simulation cases
Mathematical modeling of the Magnus turbine to be used with induction generators
Detailed comparison between the induction generators and their competitors
Modeling and Analysis with Induction Generators, Third Edition aids in understanding the process of self-excitation, numerical analysis of stand-alone and multiple induction generators, requirements for optimized laboratory experimentation, application of modern vector control, optimization of power transference, use of doubly fed induction generators, computer-based simulations, and social and economic impacts.Permalink : ./index.php?lvl=notice_display&id=12734 Modeling and Analysis with Induction Generators [texte imprime] / M. Godoy Simões ; Felix A. Farret . - 3rd ed. . - New York : CRS Press, 2015 . - 444 p. : ill,couv.ill.en coul. ; 24 cm. - (Power Electronics and Applications Series) .
ISBN : 978-1-4822-4467-0
Index
Langues : Anglais
Mots-clés : induction generators vector control Mathematical modeling Index. décimale : 621.319 Résumé : Features
Presents the fundamentals of and latest advances in the modeling and analysis of induction generators
Aids in understanding the process of self-excitation, numerical analysis of stand-alone and multiple induction generators, and requirements for optimized laboratory experimentation
Covers the application of modern vector control, optimization of power transference, use of doubly fed induction generators, computer-based simulations, and social and economic impacts
Summary
Now in its Third Edition, Alternative Energy Systems: Design and Analysis with Induction Generators has been renamed Modeling and Analysis with Induction Generators to convey the book’s primary objective—to present the fundamentals of and latest advances in the modeling and analysis of induction generators.
New to the Third Edition
Revised equations and mathematical modeling
Addition of solved problems as well as suggested problems at the end of each chapter
New modeling and simulation cases
Mathematical modeling of the Magnus turbine to be used with induction generators
Detailed comparison between the induction generators and their competitors
Modeling and Analysis with Induction Generators, Third Edition aids in understanding the process of self-excitation, numerical analysis of stand-alone and multiple induction generators, requirements for optimized laboratory experimentation, application of modern vector control, optimization of power transference, use of doubly fed induction generators, computer-based simulations, and social and economic impacts.Permalink : ./index.php?lvl=notice_display&id=12734 Réservation
Réserver ce document
Exemplaires
Code-barres Cote Support Localisation Section Disponibilité MTH467/1 MTH467 Livre Magasin d'Ouvrages / FGE Mathématique Consultation sur place
Exclu du prêtMTH467/2 MTH467 Livre Magasin d'Ouvrages / FGE Mathématique Disponible MTH467/3 MTH467 Livre Magasin d'Ouvrages / FGE Mathématique Disponible MTH467/4 MTH467 Livre Magasin d'Ouvrages / FGE Mathématique Disponible MTH467/5 MTH467 Livre Magasin d'Ouvrages / FGE Mathématique Disponible Aucun avis, veuillez vous identifier pour ajouter le vôtre !
Titre : Cloud computing with e-Sciences applications Type de document : texte imprime Auteurs : Olivier Terzo ; Mossucca Lorenzo Editeur : New York : CRS Press Année de publication : 2015 Collection : Information technology Importance : 300 p. Présentation : ill., tabl., graph., couv. ill. en coul. Format : 24 cm ISBN/ISSN/EAN : 978-1-4665-9115-8 Note générale : Bibliogr.Index Langues : Anglais Mots-clés : processing Résumé :
The amount of data in everyday life has been exploding. This data increase has been especially significant in scientific fields, where substantial amounts of data must be captured, communicated, aggregated, stored, and analyzed. Cloud Computing with e-Science Applications explains how cloud computing can improve data management in data-heavy fields such as bioinformatics, earth science, and computer science.
The book begins with an overview of cloud models supplied by the National Institute of Standards and Technology (NIST), and then:
Discusses the challenges imposed by big data on scientific data infrastructures, including security and trust issues
Covers vulnerabilities such as data theft or loss, privacy concerns, infected applications, threats in virtualization, and cross-virtual machine attack
Describes the implementation of workflows in clouds, proposing an architecture composed of two layers—platform and application
Details infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and software-as-a-service (SaaS) solutions based on public, private, and hybrid cloud computing models
Demonstrates how cloud computing aids in resource control, vertical and horizontal scalability, interoperability, and adaptive scheduling
Featuring significant contributions from research centers, universities, and industries worldwide, Cloud Computing with e-Science Applications presents innovative cloud migration methodologies applicable to a variety of fields where large data sets are produced. The book provides the scientific community with an essential reference for moving applications to the cloud.En ligne : https://www.amazon.fr/Cloud-Computing-Science-Applications-Olivier-ebook/dp/B078 [...] Permalink : ./index.php?lvl=notice_display&id=15114 Cloud computing with e-Sciences applications [texte imprime] / Olivier Terzo ; Mossucca Lorenzo . - New York : CRS Press, 2015 . - 300 p. : ill., tabl., graph., couv. ill. en coul. ; 24 cm. - (Information technology) .
ISBN : 978-1-4665-9115-8
Bibliogr.Index
Langues : Anglais
Mots-clés : processing Résumé :
The amount of data in everyday life has been exploding. This data increase has been especially significant in scientific fields, where substantial amounts of data must be captured, communicated, aggregated, stored, and analyzed. Cloud Computing with e-Science Applications explains how cloud computing can improve data management in data-heavy fields such as bioinformatics, earth science, and computer science.
The book begins with an overview of cloud models supplied by the National Institute of Standards and Technology (NIST), and then:
Discusses the challenges imposed by big data on scientific data infrastructures, including security and trust issues
Covers vulnerabilities such as data theft or loss, privacy concerns, infected applications, threats in virtualization, and cross-virtual machine attack
Describes the implementation of workflows in clouds, proposing an architecture composed of two layers—platform and application
Details infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and software-as-a-service (SaaS) solutions based on public, private, and hybrid cloud computing models
Demonstrates how cloud computing aids in resource control, vertical and horizontal scalability, interoperability, and adaptive scheduling
Featuring significant contributions from research centers, universities, and industries worldwide, Cloud Computing with e-Science Applications presents innovative cloud migration methodologies applicable to a variety of fields where large data sets are produced. The book provides the scientific community with an essential reference for moving applications to the cloud.En ligne : https://www.amazon.fr/Cloud-Computing-Science-Applications-Olivier-ebook/dp/B078 [...] Permalink : ./index.php?lvl=notice_display&id=15114 Réservation
Réserver ce document
Exemplaires
Code-barres Cote Support Localisation Section Disponibilité SYX220/1 SYX220 Livre Magasin d'Ouvrages / INF Système d'Information Consultation sur place
Exclu du prêtSYX220/2 SYX220 Livre Magasin d'Ouvrages / INF Système d'Information Disponible SYX220/3 SYX220 Livre Magasin d'Ouvrages / INF Système d'Information Disponible SYX220/4 SYX220 Livre Magasin d'Ouvrages / INF Système d'Information Disponible SYX220/5 SYX220 Livre Magasin d'Ouvrages / INF Système d'Information Disponible Aucun avis, veuillez vous identifier pour ajouter le vôtre !
