Exact and Approximate Modeling of Linear Systems: A Behavioral Approach
Markovsky, I., Willems, J. C., Van Huffel, S. and De Moor, B. (2006) Exact and Approximate Modeling of Linear Systems: A Behavioral Approach, SIAM (Mathematical Modeling and Computation, 11).
Full text not available from this repository.
Exact and Approximate Modeling of Linear Systems: A Behavioral Approach elegantly introduces the behavioral approach to mathematical modeling, an approach that requires models to be viewed as sets of possible outcomes rather than to be a priori bound to particular representations. The authors discuss exact and approximate fitting of data by linear, bilinear, and quadratic static models and linear dynamic models, a formulation that enables readers to select the most suitable representation for a particular purpose. This book presents exact subspace-type and approximate optimization-based identification methods, as well as representation-free problem formulations, an overview of solution approaches, and software implementation. Readers will find an exposition of a wide variety of modeling problems starting from observed data. The presented theory leads to algorithms that are implemented in C language and in MATLAB.
|Keywords:||system identification, total least squares, behavioral approach|
|Divisions:||Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
|Date Deposited:||06 Jan 2007|
|Last Modified:||27 Mar 2014 20:07|
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
Actions (login required)