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Tools for Knowledge-Based Signal Processing with Applications to System Identification
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1992 (English)Doctoral thesis, monograph (Other academic)
Abstract [en]

This thesis contains three parts: firstly there is an introduction to the field of knowledge-based signal processing - which denotes a combination of symbolic and numeric software capable of implementing algorithms of both algorithmic and heuristic character. Secondly suitable tools for knowledge-based signal processing are discussed - this includes the tools developed in our research. Finally we present our applications of knowledge-based signal processing.

The research in computer science and especially in the area of artificial intelligence (AI) has provided useful techniques and tools - e.g. expert systems - for "implementing" heuristic knowledge. This is hard to express in conventional programming languages like Fortran, Pascal and C.

To make it easy to implement knowledge-based signal processing applications, tools integrating numerical and symbolical computations (including logic inference) are needed: The tools developed in the undertaken research contains integrated building blocks: Common Lisp with YAPS (or Scheme) - the main programming language of the developed tool extended with an expert system shell, MATLAB - standard numeric software, and MACSYMA - a computer algebra system.

The applications are directed toward intelligent support system for system identification software. Two different help systems are discussed and implemented, one for help in black-box modeling, and one for help with physical modeling. The latter system uses bond graphs to describe systems. Bond graphs give a graphical description of physical systems which allow for modeling multiple domains in a form which makes a good compromise between a high level description of physical systems and easy computation of the underlying differential equations.

Place, publisher, year, edition, pages
Linköping: Linköping University , 1992. , 240 p.
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 280
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-98082ISBN: 91-7870-962-8OAI: diva2:652088
Public defence
1992-06-05, C3, Hus C, Campus Valla, Linköpings universitet, Linköping, 10:15 (English)
Available from: 2013-10-09 Created: 2013-09-29 Last updated: 2013-11-21Bibliographically approved

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Control Engineering

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