Published December 1989
by ACTA Press .
Written in
| The Physical Object | |
|---|---|
| Format | Hardcover |
| Number of Pages | 115 |
| ID Numbers | |
| Open Library | OL11269055M |
| ISBN 10 | 0889861277 |
| ISBN 10 | 9780889861275 |
The book highlights the latest advances in both KBS and radar signal and data processing, presenting a range of perspectives and innovative results that have set the stage for the next generation of adaptive radar systems. The book begins with a chapter introducing the concept of Knowledge Based (KB) by: The problem of identification of time-varying (linear) stochastic systems by parallel processing (through a bank of parallel adaptive filters) in application to adaptive control is addressed. The novel method, previously developed for adaptive signal estimation is in a straightforward manner adapted to self-tuning control. Adaptive Systems in Control and Signal Processing is a compendium of papers presented at the International Federation of Automatic Control in San Francisco on June , One paper addresses the results through comparative alternative algorithms in adaptive control of linear time invariant and time varying systems. In this book, the field of adaptive learning and processing is extended to arguably one of its most important contexts which is the understanding and analysis of brain signals. No attempt is made to comment on physiological aspects of brain activity; instead, signal processing methods are developed and used to assist clinical findings.
The book highlights the latest advances in both KBS and radar signal and data processing, presenting a range of perspectives and innovative results that have set the stage for the next generation of adaptive radar systems. The book begins with a chapter introducing the concept of Knowledge Based (KB) radar. Book reviews - Adaptive signal processing Article (PDF Available) in IEEE Control Systems Magazine 7(4) 51 September with 3, Reads How we measure 'reads'. Expert and knowledge-based systems have great potential for industrial control systems, particularly in the process industries. Recognising the importance of this emerging area, the Institution of Electrical Engineers organised a Vacation School on the subject, for engineers from industry and academia, at the University of Strathclyde in September adaptive signal control can reduce citizen complaints and frustration. Adaptive signal control technology is a proactive step that signal operators can take to improve service. • Adaptive signal control technologies provide value. The costs of congestion and delay to road users are substantial, and adaptive signal controlFile Size: 1MB.
The area of adaptive systems, which encompasses recursive identification, adaptive control, filtering, and signal processing, has been one of the most active areas of the past decade. Since adaptive controllers are fundamentally nonlinear controllers which are applied to . Prof. Tao has served as an Associate Editor for Automatica, the International Journal of Adaptive Control and Signal Processing, and the IEEE Transactions on Automatic Control, a Guest Editor for the Journal of Systems Engineering and Electronics, and an Editorial Board Member of the International Journal of Control, Automation, and Systems. The International Journal of Adaptive Control and Signal Processing is concerned with the design, synthesis and application of estimators or controllers where adaptive features are needed to cope with on signal processing should also have some relevance to adaptive systems. The journal focus is on model based control design approaches rather than heuristic or rule based control design methods. Adaptive Signal Processing book. Read reviews from world’s largest community for readers. A treatment of adaptive signal processing featuring frequent us /5.
