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| Titre : | Intelligent Control and Automation |
| Auteurs : | PEHCEVSKI, JOVAN, Auteur |
| Type de document : | document électronique |
| Editeur : | Bibiotex, 2023 |
| Autre Editeur : | Arcler Press |
| ISBN/ISSN/EAN : | 978-1-77469-611-8 |
| Format : | 395 p. / ill. couv. en coul / PDF |
| Langues: | Anglais |
| Langues originales: | Anglais |
| Index. décimale : | 629.8 (Technique de la commande automatique (automates non informatisés, automation)) |
| Catégories : | |
| Mots-clés: | Intelligent Control = Contrôle intelligent ; Automatisation ; Commande intelligente |
| Résumé : |
Section 1: Intelligent Control Methods Chapter 1 Automatic Intelligent Control System Based on Intelligent Control Algorithm Chapter 2 Intelligent Multi-Agent Based Information Management Methods to Direct Complex Industrial Systems Chapter 3 Design Method of Intelligent Ropeway Type Line Changing Robot Based on Lifting Force Control and Synovial Film Controller Chapter 4 A Summary of PID Control Algorithms Based on AI-Enabled Embedded Systems Section 2: Fuzzy Control Techniques Chapter 5 An Adaptive Fuzzy Sliding Mode Control Scheme for Robotic Systems Chapter 6 Adaptive Backstepping Fuzzy Control Based on Type-2 Fuzzy System Chapter 7 Fuzzy PID Control for Respiratory Systems Chapter 8 A Parameter Varying PD Control for Fuzzy Servo Mechanism Section 3: Neural Networks-based Control Chapter 9 Neural Network Supervision Control Strategy for Inverted Pendulum Tracking Control Chapter 10 Neural PID Control Strategy for Networked Process Control Chapter 11 Control Loop Sensor Calibration Using Neural Networks for Robotic Control Chapter 12 Feedforward Nonlinear Control Using Neural Gas Network Section 4: Intelligent Control Applications Chapter 13 Ship Steering Control Based on Quantum Neural Network Chapter 14 Human-Simulating Intelligent PID Control Chapter 15 Intelligent Situational Control of Small Turbojet Engines Chapter 16 An Antilock-Braking Systems (ABS) Control: A Technical Review
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| Note de contenu : |
Contents:
Chapter 1: Automatic Intelligent Control System Based on Intelligent Control Algorithm Chapter 2: Intelligent Multi-Agent Based Information Management Methods to Direct Complex Industrial Systems Chapter 3: Design Method of Intelligent Ropeway Type Line Changing Robot Based on Lifting Force Control and Synovial Film Controller Chapter 4: A Summary of PID Control Algorithms Based on AI-Enabled Embedded Systems Section 2: Fuzzy Control Techniques Chapter 5: An Adaptive Fuzzy Sliding Mode Control Scheme for Robotic Systems Chapter 6: Adaptive Backstepping Fuzzy Control Based on Type-2 Fuzzy System Chapter 7: Fuzzy PID Control for Respiratory Systems Chapter 8: A Parameter Varying PD Control for Fuzzy Servo Mechanism Section 3: Neural Networks-based Control Chapter 9: Neural Network Supervision Control Strategy for Inverted Pendulum Tracking Control Chapter 10: eural PID Control Strategy for Networked Process Control Chapter 11: Control Loop Sensor Calibration Using Neural Networks for Robotic Control Chapter 12: Feedforward Nonlinear Control Using Neural Gas Network Section 4: Intelligent Control Applications Chapter 13: Ship Steering Control Based on Quantum Neural Network Chapter 14: Human-Simulating Intelligent PID Control Chapter 15: Intelligent Situational Control of Small Turbojet Engines Chapter 16: An Antilock-Braking Systems (ABS) Control: A Technical Review |
Exemplaires (1)
| Cote | Support | Localisation | Section | Disponibilité |
|---|---|---|---|---|
| F8/12845 | E-Book Téléchargeable (PDF) | Bibliothèque de la Faculté de Technologie | Digital library | Téléchargeable Disponible |
