Identification of Continuous Dynamical Systems
The Poisson Moment Functional (PMF) Approach
Published on 1. September 1983
Book
Paperback/Softback
IX, 163 pages
978-3-540-12759-8 (ISBN)
Description
Continuous model identification (CMI)-introduction.- Signal characterization in terms of distributions.- A general algorithm for parameter identification in lumped linear continuous systems - the poisson moment functional (PMF) approach [P 17].- Transfer function matrix (TFM) identification in multiple input multiple output (MIMO) continuous systems - [P 18].- Conditions of identifiabilty.- A microprocessor based system for on line parameter identification in continuous dynamical systems [P11].- System structure identification [P19, G9, G29].- Identification of time-lag and nonlinear systems.- PMF method in the presence of noise.- Multidimensional PMF's and their use in the identification of distributed parameter systems [P14].
More details
Series
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
1 s/w Abbildung
IX, 163 p. 1 illus.
Dimensions
Height: 244 mm
Width: 170 mm
Thickness: 10 mm
Weight
315 gr
ISBN-13
978-3-540-12759-8 (9783540127598)
DOI
10.1007/BFb0044036
Schweitzer Classification
Content
Continuous model identification (CMI)-introduction.- Signal characterization in terms of distributions.- A general algorithm for parameter identification in lumped linear continuous systems - the poisson moment functional (PMF) approach [P 17].- Transfer function matrix (TFM) identification in multiple input multiple output (MIMO) continuous systems - [P 18].- Conditions of identifiabilty.- A microprocessor based system for on line parameter identification in continuous dynamical systems [P11].- System structure identification [P19, G9, G29].- Identification of time-lag and nonlinear systems.- PMF method in the presence of noise.- Multidimensional PMF's and their use in the identification of distributed parameter systems [P14].