S bittanti (8 Ergebnisse)

Zustand: NEW.

Zustand: Sehr Gut. Zustandsbeschreibung: slightly bumped and soiled. A Proceedings volume from the IFAC Workshop Cernobbio-Como, Italy, 27-28 August 2001. Edited by S. Bittanti and P. Colaneri. VII,255 Seiten mit zahlreichen Abb., Großformat, broschiert (Pergamon 2001). Gewicht: 710 g - Softcover/Taschenbuch. …

Zustand: New. In English.

Zustand: New. In English.

Kartoniert / Broschiert. Zustand: New. Periodic control has reached a notable degree of maturity thanks to developments over the last few decades. We have seen not only major theoretical achievements but also new significant applications. The IFAC workshop on Periodic Control Systems (.

Zustand: New. pp. 264 64:B&W 8.268 x 11.693 in or 297 x 210 mm (A4) Perfect Bound on White w/Gloss Lam.

Kartoniert / Broschiert. Zustand: New. In 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 s.

Taschenbuch. Zustand: Neu. Neuware - In 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 in recent years, 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.…