Signal Processing for Active Control / Edition 1

Signal Processing for Active Control / Edition 1

by Stephen Elliott
     
 

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ISBN-10: 0122370856

ISBN-13: 9780122370854

Pub. Date: 10/18/2000

Publisher: Elsevier Science

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

Overview

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.

Product Details

ISBN-13:
9780122370854
Publisher:
Elsevier Science
Publication date:
10/18/2000
Series:
Signal Processing and its Applications Series
Pages:
511
Product dimensions:
6.40(w) x 9.30(h) x 1.40(d)

Table of Contents

Series Preface ix
Dedication x
Preface xi
Glossary xv
The Physical Basis for Active Control
1(48)
Introduction
2(4)
Control of wave transmission
6(7)
Control of power in infinite systems
13(8)
Strategies of control in finite systems
21(8)
Control of energy in finite systems
29(8)
Control of sound radiation from structures
37(8)
Local control of sound and vibration
45(4)
Optimal and Adaptive Digital Filters
49(54)
Introduction
50(3)
Structure of digital filters
53(4)
Optimal filters in the time domain
57(6)
Optimal filters in the transform domain
63(6)
Multichannel optimal filters
69(8)
The LMS algorithm
77(7)
The RLS algorithm
84(3)
Frequency-domain adaptation
87(5)
Adaptive IIR filters
92(11)
Single-Channel Feedforward Control
103(74)
Introduction
104(6)
Control of deterministic disturbances
110(10)
Optimal control of stochastic disturbances
120(12)
Adaptive FIR controllers
132(17)
Frequency-domain adaptation of FIR controllers
149(5)
Plant identification
154(6)
Adaptive IIR controllers
160(6)
Practical applications
166(11)
Multichannel Control of Tonal Disturbances
177(56)
Introduction
178(1)
Optimal control of tonal disturbances
179(7)
Steepest-descent algorithms
186(14)
Robustness to plant uncertainties and plant model errors
200(9)
Iterative least-squares algorithms
209(11)
Feedback control interpretation of adaptive feedforward systems
220(4)
Minimisation of the maximum level at any sensor
224(2)
Applications
226(7)
Multichannel Control of Stochastic Disturbances
233(38)
Introduction
233(3)
Optimal control in the time domain
236(5)
Optimal control in the transform domain
241(6)
Adaptive algorithms in the time domain
247(9)
The preconditioned LMS algorithm
256(5)
Adaptive algorithms in the frequency domain
261(4)
Application: controlling road noise in vehicles
265(6)
Design and Performance of Feedback Controllers
271(58)
Introduction
272(6)
Analogue controllers
278(9)
Digital controllers
287(2)
Internal model control (IMC)
289(6)
Optimal control in the time domain
295(7)
Optimal control in the transform domain
302(4)
Multichannel feedback controllers
306(3)
Robust stability for multichannel systems
309(7)
Optimal multichannel control
316(3)
Application: active headrest
319(10)
Adaptive Feedback Controllers
329(38)
Introduction
329(6)
Time-domain adaptation
335(6)
Frequency-domain adaptation
341(8)
Combined feedback and feedforward control
349(5)
Combined analogue and digital controllers
354(3)
Application: active headsets
357(10)
Active Control of Nonlinear Systems
367(44)
Introduction
367(8)
Analytical descriptions of nonlinear systems
375(3)
Neural networks
378(12)
Adaptive feedforward control
390(9)
Chaotic systems
399(6)
Control of chaotic behaviour
405(6)
Optimisation of Transducer Location
411(28)
The optimisation problem
411(3)
Optimisation of secondary source and error sensor location
414(9)
Application of genetic algorithms
423(5)
Application of simulated annealing
428(4)
Practical optimisation of source location
432(7)
Hardware for Active Control
439(28)
Introduction
439(3)
Anti-aliasing filters
442(3)
Reconstruction filters
445(2)
Filter delay
447(3)
Data converters
450(3)
Data quantisation
453(4)
Processor requirements
457(5)
Finite-precision effects
462(5)
Appendix: Linear Algebra and the Description of Multichannel Systems 467(22)
A.1. Vectors
467(1)
A.2. Matrices
468(3)
A.3. Determinants and the inverse matrix
471(2)
A.4. Trace of a matrix and its derivatives
473(2)
A.5. Outer products and spectral density matrices
475(3)
A.6. Matrix and vector quadratic equations
478(1)
A.7. Eigenvalue/eigenvector decomposition
479(2)
A.8. Singular value decomposition
481(3)
A.9. Vector and matrix norms
484(5)
References 489(18)
Index 507

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