| Titre : |
Robust control design with MATLAB® |
| Type de document : |
texte imprimé |
| Auteurs : |
Gu, Da-Wei, Auteur ; Mihail Mihaylov (1948-) Konstantinov, Auteur ; Petko Hr (1948) Petkov, Auteur |
| Editeur : |
Berlin ; London ; Cham : Springer |
| Année de publication : |
2005 |
| Collection : |
Advanced Textbooks in Control and Signal Processing |
| Importance : |
XIV, 389 p. |
| Présentation : |
ill. |
| Format : |
24 cm |
| ISBN/ISSN/EAN : |
978-1-85233-983-8 |
| Note générale : |
Bibliogr. p. [377]-386. - Index |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Commande, Théorie de la
Chemical engineering
Computer aided design
Computer engineering
Engineering
Industrial engineering
Structural control (Engineering)
Systems theory |
| Index. décimale : |
681.5 Technologie de la commande automatique. Technologie intelligence. systèmes de contrôle. Automation |
| Résumé : |
Robustness is often of crucial importance in control system design. Real engineering systems are vulnerable to external disturbance and measurement noise and there are always discrepancies between mathematical models used for design and the actual system in practice.
Robust Control Design with MATLAB® helps you learn how to use well-developed advanced robust control design methods in practical cases. To this end, several realistic control design examples ranging from teaching-laboratory experiments, such as a mass–damper–spring assembly, to complex systems like a flexible link manipulator are given detailed presentation. All the design exercises are conducted using MATLAB® Robust Control Toolbox, Control System Toolbox and Simulink®.
By sharing their experiences in industrial cases with minimum recourse to complicated theories and formulae, the authors convey essential ideas and useful insights into robust industrial control systems design using major H-infinity optimization and related methods allowing you quickly to move on with your own challenges. |
| Note de contenu : |
Summary :
1. Modelling of Uncertain Systems
2. Robust Design Specifications
3. Design
4. Loop-shaping Design Procedures
5. Analysis and Synthesis
6. Lower-order Controllers
7. Robust Control of a Mass-Damper-Spring System
8. A Triple Inverted Pendulum Control-system Design
9. Robust Control of a Hard Disk Drive |
Robust control design with MATLAB® [texte imprimé] / Gu, Da-Wei, Auteur ; Mihail Mihaylov (1948-) Konstantinov, Auteur ; Petko Hr (1948) Petkov, Auteur . - Berlin ; London ; Cham : Springer, 2005 . - XIV, 389 p. : ill. ; 24 cm. - ( Advanced Textbooks in Control and Signal Processing) . ISBN : 978-1-85233-983-8 Bibliogr. p. [377]-386. - Index Langues : Anglais ( eng)
| Mots-clés : |
Commande, Théorie de la
Chemical engineering
Computer aided design
Computer engineering
Engineering
Industrial engineering
Structural control (Engineering)
Systems theory |
| Index. décimale : |
681.5 Technologie de la commande automatique. Technologie intelligence. systèmes de contrôle. Automation |
| Résumé : |
Robustness is often of crucial importance in control system design. Real engineering systems are vulnerable to external disturbance and measurement noise and there are always discrepancies between mathematical models used for design and the actual system in practice.
Robust Control Design with MATLAB® helps you learn how to use well-developed advanced robust control design methods in practical cases. To this end, several realistic control design examples ranging from teaching-laboratory experiments, such as a mass–damper–spring assembly, to complex systems like a flexible link manipulator are given detailed presentation. All the design exercises are conducted using MATLAB® Robust Control Toolbox, Control System Toolbox and Simulink®.
By sharing their experiences in industrial cases with minimum recourse to complicated theories and formulae, the authors convey essential ideas and useful insights into robust industrial control systems design using major H-infinity optimization and related methods allowing you quickly to move on with your own challenges. |
| Note de contenu : |
Summary :
1. Modelling of Uncertain Systems
2. Robust Design Specifications
3. Design
4. Loop-shaping Design Procedures
5. Analysis and Synthesis
6. Lower-order Controllers
7. Robust Control of a Mass-Damper-Spring System
8. A Triple Inverted Pendulum Control-system Design
9. Robust Control of a Hard Disk Drive |
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