Self-Tuning Systems
Control and Signal Processing
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.
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.
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.
P. E. Wellstead and M. B. Zarrop are the authors of Self-Tuning Systems: Control and Signal Processing, published by Wiley.
