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Foundations of Fuzzy Control by Jan Jantzen (Hardcover) (2007) - Jan Jantzen
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Jan Jantzen:

Foundations of Fuzzy Control by Jan Jantzen (Hardcover) (2007) - edition reliée, livre de poche

2007, ISBN: 9780470029633

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Jantzen, Jan:

Foundations of Fuzzy Control - Première édition

2007, ISBN: 9780470029633

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John Wiley & Sons, Gebundene Ausgabe, Auflage: 1. Auflage, 230 Seiten, Publiziert: 2007-02-23T00:00:01Z, Produktgruppe: Buch, 0.56 kg, Informatik, IT-Ausbildung & -Berufe, Computer & Inte… Plus…

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Jantzen, Jan:
Foundations of Fuzzy Control - Première édition

2007

ISBN: 9780470029633

Edition reliée

John Wiley & Sons, Gebundene Ausgabe, Auflage: 1. Auflage, 230 Seiten, Publiziert: 2007-02-23T00:00:01Z, Produktgruppe: Buch, 0.56 kg, Informatik, IT-Ausbildung & -Berufe, Computer & Inte… Plus…

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Jantzen, Jan:
Foundations of Fuzzy Control - Première édition

2007, ISBN: 9780470029633

Edition reliée

John Wiley & Sons, Gebundene Ausgabe, Auflage: 1. Auflage, 230 Seiten, Publiziert: 2007-02-23T00:00:01Z, Produktgruppe: Buch, 0.56 kg, Informatik, IT-Ausbildung & -Berufe, Computer & Inte… Plus…

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Jantzen, Jan:
Foundations of Fuzzy Control - Première édition

2007, ISBN: 9780470029633

Edition reliée

Wiley, Hardcover, Auflage: 1, 230 Seiten, Publiziert: 2007-04-02T00:00:01Z, Produktgruppe: Book, 0.56 kg, Electrical & Electronics, Engineering & Transportation, Subjects, Books, Telecomm… Plus…

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Foundations of Fuzzy Control

Fuzzy logic is key to the efficient working of many consumer, industrial and financial applications. Providing a brief history of the subject as well as analysing the system architecture of a fuzzy controller, this book gives a full and clearly set out introduction to the topic. As an essential guide to this subject for many engineering disciplines, Foundations of Fuzzy Control successfully exploits established results in linear and non-linear control theory. It presents a full coverage of fuzzy control, from basic mathematics to feedback control, all in a tutorial style. In particular this book: * Systematically analyses several fuzzy PID (Proportional-Integral-Derivative) control systems and state space control, and also self-learning control mechanisms * Sets out practical worked through problems, examples and case studies to illustrate each type of control system * Provides an accompanying Web site that contains downloadable Matlab programs. This book is an invaluable resource for a broad spectrum of researchers, practitioners, and students in engineering. In particular it is especially relevant for those in mechanical and electrical engineering, as well as those in artificial intelligence, machine learning, bio-informatics, and operational research. It is also a useful reference for practising engineers, working on the development of fuzzy control applications and system architectures.

Informations détaillées sur le livre - Foundations of Fuzzy Control


EAN (ISBN-13): 9780470029633
ISBN (ISBN-10): 0470029633
Version reliée
Date de parution: 2007
Editeur: John Wiley & Sons
209 Pages
Poids: 0,586 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2007-05-05T17:28:00+02:00 (Paris)
Page de détail modifiée en dernier sur 2024-01-05T11:00:07+01:00 (Paris)
ISBN/EAN: 0470029633

ISBN - Autres types d'écriture:
0-470-02963-3, 978-0-470-02963-3
Autres types d'écriture et termes associés:
Auteur du livre: jantzen, jan still
Titre du livre: fuzzy control, foundations, foundation


Données de l'éditeur

Auteur: Jan Jantzen
Titre: Foundations of Fuzzy Control
Editeur: John Wiley & Sons
Date de parution: 2007-02-23
Poids: 0,586 kg
Langue: Anglais
91,90 € (DE)
Not available (reason unspecified)

BB; GB; Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Elektronik, Nachrichtentechnik; Computertechnik; Fuzzy-Regelung

Foreword. Preface. List of Figures. 1 Introduction. 1.1 What Is Fuzzy Control? 1.2 Why Fuzzy Control? 1.3 Controller Design. 1.4 Introductory Example: Stopping a Car. 1.5 Summary. 1.6 Notes and references. 2 Fuzzy Reasoning. 2.1 Fuzzy Sets. 2.2 Fuzzy Set Operations. 2.3 Fuzzy Logic. 2.4 Fuzzy Implication. 2.5 Rules of Inference. 2.6 Generalized Modus Ponens. 2.7 Triangular Norms. 2.8 Formal Derivation of the Mamdani Inference*. 2.9 Summary. 2.10 Notes and References. 3 Fuzzy Control. 3.1 Controller Components. 3.2 Rule-Based Controllers. 3.3 Table-Based Controller. 3.4 Linear Controller. 3.5 Analytical Simplification of the Inference*. 3.6 Summary. 3.7 Notes and References. 4 Linear Fuzzy PID Control. 4.1 Fuzzy P Controller. 4.2 Fuzzy PD Controller. 4.3 Fuzzy PD+I Controller. 4.4 Fuzzy Incremental Controller. 4.5 Tuning. 4.6 Scaling. 4.7 Simulation Study: Higher-Order Process. 4.8 Practical Considerations*. 4.9 Summary. 4.10 Notes and References. 5 Nonlinear Fuzzy PID Control. 5.1 Phase Plane Analysis. 5.2 Fuzzy PD Control. 5.3 Fuzzy PD+I Control. 5.4 Fine-tuning. 5.5 Higher-Order Systems. 5.6 Practical Considerations. 5.7 Summary. 5.8 Notes and References. 6 The Self-Organizing Controller. 6.1 Model Reference Adaptive Systems. 6.2 The Original SOC. 6.3 A Linear PerformanceMeasure. 6.4 Example with a Long Deadtime. 6.5 Tuning and Time Lock. 6.6 Analytical Derivation of the Adaptation Law*. 6.7 Summary. 6.8 Notes and References. 7 Stability Analysis by Describing Functions. 7.1 Describing Functions. 7.2 Fuzzy PD Controller. 7.3 Fuzzy PD+I Controller. 7.4 The Nyquist Criterion for Stability. 7.5 Closed-Loop Simulation Examples. 7.6 Analytical Derivation of the Describing Function*. 7.7 Summary. 7.8 Notes and References. 8 Simulation Study: Cart-Ball Balancer. 8.1 Laboratory Rig. 8.2 Mathematical Model. 8.3 Step 1: Design a Crisp PID Controller. 8.4 Step 2: Replace It with a Linear Fuzzy. 8.5 Step 3:Make It Nonlinear. 8.6 Step 4: Fine-tune It. 8.7 Further State-Space Analysis*. 8.8 Summary. 8.9 Notes and References. 9 Supervisory Control*. 9.1 Process Control. 9.2 High-Level Fuzzy Control. 9.3 Summary. 9.4 Notes and References. Bibliography. Index.

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