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Vol: 57(71) No: 2 / June 2012        

Probability Estimation of Defined Properties of the Real Technical Systems with Stochastic Parameters
Dragan Antić
Department of Control Systems, University of Niš, Faculty of Electronic Engineering, Aleksandra Medvedeva 14, P.O. Box 73 18000 Niš, Serbia, phone: (381) 18 529-363, e-mail: dragan.antic@elfak.ni.ac.rs, web: http://www.elfak.ni.ac.rs
Zoran Jovanović
Department of Control Systems, University of Niš, Faculty of Electronic Engineering, Aleksandra Medvedeva 14, P.O. Box 73 18000 Niš, Serbia, e-mail: zoran.jovanovic@elfak.ni.ac.rs
Nikola Danković
Department of Control Systems, University of Niš, Faculty of Electronic Engineering, Aleksandra Medvedeva 14, P.O. Box 73 18000 Niš, Serbia, e-mail: nikola.dankovic@elfak.ni.ac.rs
Miodrag Spasić
Department of Control Systems, University of Niš, Faculty of Electronic Engineering, Aleksandra Medvedeva 14, P.O. Box 73 18000 Niš, Serbia, e-mail: miodrag.spasic@elfak.ni.ac.rs
Stanko Stankov
Department of Control Systems, University of Niš, Faculty of Electronic Engineering, Aleksandra Medvedeva 14, P.O. Box 73 18000 Niš, Serbia, e-mail: stanko.stankov@elfak.ni.ac.rs


Keywords: probability estimation, oscillations, stability, imperfect systems, stochastic parameter, normal distribution

Abstract
This paper presents one method for probability estimation of some property of imperfect system (stability, oscillations appearance, controllability, reliability, observability, etc.). That is significant improvement compared to papers where considered property is always stability. All real technical systems are imperfect and they have stochastic parameters. Normal distribution is the most frequent distribution and the method described in this paper is applied to this distribution. The region of certain system property is approximated in parameter space and relations for probability of defined properties are obtained. The approximation can be performed by straight line or circular arches. Proposed algorithm for both approximations is given. The method is especially efficient for the imperfect systems with three or four parameters, of which two have large standard deviations. Application of this approximate method is given in the real technical system such as the system for rubber transportation in tyre industry. The method was verified for the case of determining the probability of oscillations appearance and asymptotic stability. Proofs of theorems used in the paper are given in Appendix.

References
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