Self-tuning systems : control and signal processing
著者
書誌事項
Self-tuning systems : control and signal processing
Wiley, c1991
- : hard.
- : pbk.
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注記
Includes bibliographical references and index
内容説明・目次
- 巻冊次
-
: hard. ISBN 9780471928836
内容説明
Geared to the users' needs, this work provides comprehensive coverage of the main techniques and methods necessary to construct a self-tuning and self-adaptive system. Eliminating a lot of theoretical rigor, it provides the reader with a fundamental understanding of basic algorithms and techniques useful in self-tuning control and signal processing. Every aspect of adaptive engineering is thoroughly covered including extensive descriptions of applications, commercial instruments and current research. Besides offering sections on advanced and detailed topics, the book provides a wide selection of tutorial problems that will aid and stimulate the reader.
目次
SYSTEM IDENTIFICATION FOR SELF-TUNING.
System and Signal Models.
Recursive Estimation.
Using Recursive Estimators.
Computational Alternatives for Recursive Estimation.
Convergence Analysis for Recursive Algorithms.
SELF-TUNING CONTROLLERS.
Pole Assignment Control.
Minimum Variance Control.
Multistage Predictive Control.
SELF-TUNING SIGNAL PROCESSING.
Prediction.
Self-Tuning Filters.
SPECIAL TOPICS.
Two-Dimensional Self-Tuning Algorithms.
Self-Tuning Extremum Control.
Frequency Domain Self-Tuning.
Appendix.
Index.
- 巻冊次
-
: pbk. ISBN 9780471930549
内容説明
By taking users' needs as their starting point the authors avoid giving a specialised coverage of just one method and instead concentrate on the main methods and techniques used in constructing a self-tuning system. The structure reflects the different aspects of a self-tuning system - identification algorithms, controller algorithms and signal processing. To enable a fundamental understanding basic algorithms and techniques are explained without too much theoretical rigour. Applications and commercial instruments which involve self-adaptive methods are also discussed intensively and recent research is documented to provide background information.
目次
- Introduction
- SYSTEM IDENTIFICATION FOR SELF TUNING: System and Signal Models
- Recursive Estimation
- Using Recursive Esitmators
- Computational Alternatives for Recursive Estimation
- Convergence Analysis for Recursive Algorithms
- SELF TUNING CONTROLLERS: Pole Assignment Control
- Minimum Variance Control
- Multistage Predictive Control
- SELF TUNING SIGNAL PROCESSING: Prediction
- Self-Tuning Filters
- SPECIAL TOPICS: Two- Dimensional Self-Tuning Algorithms
- Self-Tuning Extremum Control
- Frequency Domain Self-Tuning
- Appendix.
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