NONLINEAR PARAMETER IDENTIFICATION OF RISK TECHNICAL SYSTEMS

Authors

  • Nikolay Petrov

DOI:

https://doi.org/10.47839/ijc.5.1.379

Keywords:

Nonlinear Parameter Identification, Risk Technical Systems

Abstract

This paper deals with an optimal method concerning nonlinear parameter identification of risk technical systems (automobile and railway transport, aircrafts, marine and river transport, chemical installations, munitions, information society suffering by terrorism). Unknown states of the model are built by sliding observers which converge in a finite time. Due to this property, it is possible to derive equations of the model in order to obtain an estimation law which converges to the nominal values of the parameters also in the finite time.

References

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Ahmed-Ali T. Controleurs-Observateurs adaptativs et robustes pour des systemes non lineaires incertains. These de Doctorat en Sciences, Universite de Paris-sud, 1998.

Ahmed-Ali T., F. Lamnabhi-Lagarrigue. Sliding observer-controller design for uncertain triangular nonlinear systems. Technical Note IEEE Transactions on Automatic Control, 1999.

Slotine J.J., Li Weiping. Applied nonlinear control. Prentice Hall, 1991.

Elten D., D. Filbert. Identification of electrical parameters the speed of small three phase induction motors, Archiv Bd 12, pp. 379-383, 1990.

Lecourtier Y., F. Lamnabhi-Lagarrigue, E. Walter. Volterra and generating power series approaches to identifiability testing. pp. 50-66, Pergamon Press, edited by E. Walter, 1997.

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Published

2014-08-01

How to Cite

Petrov, N. (2014). NONLINEAR PARAMETER IDENTIFICATION OF RISK TECHNICAL SYSTEMS. International Journal of Computing, 5(1), 37-41. https://doi.org/10.47839/ijc.5.1.379

Issue

2006, Volume 5, Issue 1

Section

Articles

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