Open AccessNONLINEAR PARAMETER IDENTIFICATION OF RISK TECHNICAL SYSTEMS
Author(s) -
Nikolay Petrov
Publication year - 2014
Publication title -
computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 11
eISSN - 2312-5381
pISSN - 1727-6209
DOI - 10.47839/ijc.5.1.379
Subject(s) - nonlinear system , identification (biology) , property (philosophy) , computer science , estimation theory , mathematics , control theory (sociology) , mathematical optimization , algorithm , physics , philosophy , botany , control (management) , epistemology , quantum mechanics , artificial intelligence , biology
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.