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Adaptation and Learning in Control and Signal Processing 2001

Adaptation and Learning in Control and Signal Processing 2001

Bittanti, S.

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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.

Accessories:
No Accessory
Publisher
PERGAMON PR
Bisac Major Subject
Technology & Engineering
Bisac Minor Subject
Engineering (General)
Binding Type
Paperback
Country Of Origin
US
Number Of Units
1
Length
11.69 Inches
Barcode Indicator
ISBN
Width
8.27 Inches
Publication Date
1970-01-01
Height
1.01 Inches
ISBN 10
0080436838
Weight
2.63 Pounds
Book EAN
9780080436838
Target Audiance
Adults

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