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OverviewIn control and signal processing, adaptation is a natural tool to cope with real-time changes in the dynamical behaviour of signals and systems. In this area, strongly connected with prediction and identification, there has been an increasing interest in switching and supervising methods. Moreover, special attention has been paid to the ideas evolving round the theory of statistical learning as a potential tool of improved adaptation. The IFAC workshop on Adaptation and Learning in Control and Signal Processing in 2001 gathered together experts in the field and interested researchers from universities and industry to present a full picture of the area. This proceedings volume presents papers covering the following subjects: Model reference and predictive control; Multiple model control; Adaptive control I/II; Adaptive control and learning; Learning; Adaptive control of nonlinear systems I/II; Supervisory control; Neural networks for control; PID design methods; Sliding mode; Adaptive filtering and estimation; Identification methods I/II. Full Product DetailsAuthor: S. Bittanti (Dipartimento di Electtronica e Informazione, Politecnico di Milano, Italy)Publisher: Elsevier Science & Technology Imprint: Pergamon Press Dimensions: Width: 21.00cm , Height: 2.60cm , Length: 27.90cm Weight: 1.200kg ISBN: 9780080436838ISBN 10: 0080436838 Pages: 502 Publication Date: 19 September 2002 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Out of Print Availability: In Print Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |