| Titre : | Signal Processing for Active Control | | Type de document : | texte imprimé | | Auteurs : | Stephen J. Elliott, Auteur | | Editeur : | San Diego, London, Boston : Academic Press | | Année de publication : | 2001 | | Collection : | Signal Processing and its Applications | | Importance : | 511 p. | | Présentation : | couv. ill.,ill. | | Format : | 24,1 cm. | | ISBN/ISSN/EAN : | 978-0-12-237085-4 | | Langues : | Anglais (eng) | | Catégories : | AUTOMATISME
| | Index. décimale : | 25-02 Théorie et traitement du signal | | Résumé : | Signal Processing for Active Control sets out the signal processing and automatic control techniques that are used in the analysis and implementation of active systems for the control of sound and vibration. After reviewing the performance limitations introduced by physical aspects of active control, Stephen Elliott presents the calculation of the optimal performance and the implementation of adaptive real time controllers for a wide variety of active control systems.
Active sound and vibration control are technologically important problems with many applications. 'Active control' means controlling disturbance by superimposing a second disturbance on the original source of disturbance. Put simply, initial noise + other specially-generated noise or vibration = silence [or controlled noise].
This book presents a unified approach to techniques that are used in the analysis and implementation of different control systems. It includes practical examples at the end of each chapter to illustrate the use of various approaches.
This book is intended for researchers, engineers, and students in the field of acoustics, active control, signal processing, and electrical engineering.
| | Note de contenu : | Contents
Chapter 1. The Physical Basis for Active Control
1.2. Control of wave transmission
1.3. Control of power in infinite systems
1.4. Strategies of control in finite systems
1.5. Control of energy in finite systems
1.6. Control of sound radiation from structures
1.7. Local control of sound and vibration
Chapter 2. Optimal and Adaptive Digital Filters
2.2. Structure of digital filters
2.3. Optimal filters in the time domain
2.4. Optimal filters in the transfortn Domain
2.5. Multichannel optimal filters
2.6. The LMS algorithm
2.7. The RLS algorithm
2.8. Frcquency-dornain adaptation
2.9. Adaptive IIR filters
Chapter 3. Single-Channel Feedforward Control
3.2. Control of deterministic disturbances
3.3. Optimal control of stochastic disturbances
3.4. Adaptive FIR controllers
3.5. Frequency-domain adaptation of FIR controllers
3.6. Plant identification
3.7. Adaptive IIR controllers
3.8. Practical applications
Chapter 4. Multichannel Control of Tonal Disturbances
4.2. Optinlal control of tonal disturbances
4.3. Steepest-descent algorithms
4.4. Robustness to plant uncertainties and plant tnodel errors
4.5. Iterative least-squares algorithms
4.6. Feedback control interpretation of adaptive feedforward systems
4.7. Minimisation of the maximum level at any sensor
4.8. Applications
Chapter 5. Multichannel Control of Stochastic Disturbances
5.2. Optimal control in the time domain
5.3. Optimal control in the transfom domain
5.4. Adaptive algorithms in the time domain
5.5. The preconditioned LMS algorithm
5.6. Adaptive algorithms in the frequency domain
5.7. Application: controlling road noise in vehicles
Chapter 6. Design and Perfomance of Feedback Controllers
6.2. Analogue controllers
6.3. Digital controllers
6.4. Internal model control (IMC)
6.5. Optimal control in the titne domain
6.6. Optimal control in the transform domain
6.7. Multichannel feedback controllers
6.8. Robust stahility for multichannel systems
6.9. Optimal multichannel control
6.10. Application: active headrest
Chapter 7. Adaptive Feedback Controllers
7.2. Tirne-domain adaptation
7.3. Frequency-domain adaptation
7.4. Combined feedback and feedforward control
7.5. Combined analogue and digital controllers
7.6. Application: active headsets
Chapter 8. Active Control of Nonlinear Systems
8.2. Analytical descriptions of nonlinear systems
8.3. Neural networks
8.4. Adaptive feedforward control
8.5. Chaotic systems
8.6. Control of chaotic behaviour
Chapter 9. Optimisation of Transducer Location
9.1. The optilnisation problcnl
9.2. Optimisation of secondary source and error sensor location
9.3. Application of genetic algorithms
9.4. Application of simulated annealing
9.5. Practical optimisation of source location
Chapter 10. Hardware for Active Control
10.2. Anti-aliasing filters
10.3. Reconstruction filters
10.4. Filter delay
10.5. Data converters
10.6. Data quantisation
10.7. Processor requirements
10.8. Finite-precision effects
Appendix: Linear Algebra and the Description of Multichannel System |
Signal Processing for Active Control [texte imprimé] / Stephen J. Elliott, Auteur . - San Diego, London, Boston : Academic Press, 2001 . - 511 p. : couv. ill.,ill. ; 24,1 cm.. - ( Signal Processing and its Applications) . ISBN : 978-0-12-237085-4 Langues : Anglais ( eng) | Catégories : | AUTOMATISME
| | Index. décimale : | 25-02 Théorie et traitement du signal | | Résumé : | Signal Processing for Active Control sets out the signal processing and automatic control techniques that are used in the analysis and implementation of active systems for the control of sound and vibration. After reviewing the performance limitations introduced by physical aspects of active control, Stephen Elliott presents the calculation of the optimal performance and the implementation of adaptive real time controllers for a wide variety of active control systems.
Active sound and vibration control are technologically important problems with many applications. 'Active control' means controlling disturbance by superimposing a second disturbance on the original source of disturbance. Put simply, initial noise + other specially-generated noise or vibration = silence [or controlled noise].
This book presents a unified approach to techniques that are used in the analysis and implementation of different control systems. It includes practical examples at the end of each chapter to illustrate the use of various approaches.
This book is intended for researchers, engineers, and students in the field of acoustics, active control, signal processing, and electrical engineering.
| | Note de contenu : | Contents
Chapter 1. The Physical Basis for Active Control
1.2. Control of wave transmission
1.3. Control of power in infinite systems
1.4. Strategies of control in finite systems
1.5. Control of energy in finite systems
1.6. Control of sound radiation from structures
1.7. Local control of sound and vibration
Chapter 2. Optimal and Adaptive Digital Filters
2.2. Structure of digital filters
2.3. Optimal filters in the time domain
2.4. Optimal filters in the transfortn Domain
2.5. Multichannel optimal filters
2.6. The LMS algorithm
2.7. The RLS algorithm
2.8. Frcquency-dornain adaptation
2.9. Adaptive IIR filters
Chapter 3. Single-Channel Feedforward Control
3.2. Control of deterministic disturbances
3.3. Optimal control of stochastic disturbances
3.4. Adaptive FIR controllers
3.5. Frequency-domain adaptation of FIR controllers
3.6. Plant identification
3.7. Adaptive IIR controllers
3.8. Practical applications
Chapter 4. Multichannel Control of Tonal Disturbances
4.2. Optinlal control of tonal disturbances
4.3. Steepest-descent algorithms
4.4. Robustness to plant uncertainties and plant tnodel errors
4.5. Iterative least-squares algorithms
4.6. Feedback control interpretation of adaptive feedforward systems
4.7. Minimisation of the maximum level at any sensor
4.8. Applications
Chapter 5. Multichannel Control of Stochastic Disturbances
5.2. Optimal control in the time domain
5.3. Optimal control in the transfom domain
5.4. Adaptive algorithms in the time domain
5.5. The preconditioned LMS algorithm
5.6. Adaptive algorithms in the frequency domain
5.7. Application: controlling road noise in vehicles
Chapter 6. Design and Perfomance of Feedback Controllers
6.2. Analogue controllers
6.3. Digital controllers
6.4. Internal model control (IMC)
6.5. Optimal control in the titne domain
6.6. Optimal control in the transform domain
6.7. Multichannel feedback controllers
6.8. Robust stahility for multichannel systems
6.9. Optimal multichannel control
6.10. Application: active headrest
Chapter 7. Adaptive Feedback Controllers
7.2. Tirne-domain adaptation
7.3. Frequency-domain adaptation
7.4. Combined feedback and feedforward control
7.5. Combined analogue and digital controllers
7.6. Application: active headsets
Chapter 8. Active Control of Nonlinear Systems
8.2. Analytical descriptions of nonlinear systems
8.3. Neural networks
8.4. Adaptive feedforward control
8.5. Chaotic systems
8.6. Control of chaotic behaviour
Chapter 9. Optimisation of Transducer Location
9.1. The optilnisation problcnl
9.2. Optimisation of secondary source and error sensor location
9.3. Application of genetic algorithms
9.4. Application of simulated annealing
9.5. Practical optimisation of source location
Chapter 10. Hardware for Active Control
10.2. Anti-aliasing filters
10.3. Reconstruction filters
10.4. Filter delay
10.5. Data converters
10.6. Data quantisation
10.7. Processor requirements
10.8. Finite-precision effects
Appendix: Linear Algebra and the Description of Multichannel System |
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