Abstract
In the paper the approach to the problem-solving in the areas of experiment design and system identification is presented. The main principles of the system EXPES-NET such as functional framework, dialogue and distributed data base are discussed and an example of multistage identification at mechanical engineering laboratory using the approach proposed is given. Distributed environment gives the ability to handle the problems of increased complexity and intristic decentralised nature.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Borzemski L., Kordecki H., Koszalka L. (1982), EXPES and EXPES-E -computer systems for experimentation, Wyczialitielnaja Technika Socialisticzeakich Stran, no 11, Moskva
Borzemski L. (1984), The relational distributed database architecture for minicomputers, Proc. IFIP/Network Symposium, Sofia /to appear/
Bubnicki Z. (1980), Problems of the complex systems identification, Proc. Internat. Conference on Systems Engineering, Coventry
Codd E.F. (1970), A relational model of data for large shared data banks, Comm. ACM 13, No. 6
Craven P., Wahba G. (1979), Smoothing noisy data with spline func-tions, Numer. Math. 31, pp. 377–403
Furuta K., Hatakeyama S., Kominami H. (1979), Structural identifica- tion and software package for linear multivariable systems, 5th IFAC Symposium on Identification and System Parameter Estimation, pp. 415–422
Schmid C., Unbehauen H. (1979), KEDDC, a general purpose CAD software system for application in control engineering, 2nd IFAC/IFIP Symp. SOCOCO, Prague
Wieslander J., Gustaysson I. (1976), IDPAC - An efficient interactive identification program, I V IFAC Symp. on Ident. and Syst. Par. Estimation, Tbilisi.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1984 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Borzemski, L., Koszałka, L. (1984). Statistical Data Analysis Using a Data Base for Experiment Design and Systems Identification. In: Havránek, T., Šidák, Z., Novák, M. (eds) Compstat 1984. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-51883-6_35
Download citation
DOI: https://doi.org/10.1007/978-3-642-51883-6_35
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7051-0007-7
Online ISBN: 978-3-642-51883-6
eBook Packages: Springer Book Archive