350 rub
Journal Radioengineering №8 for 2014 г.
Article in number:
Management method radio engineering system in conditions parametric uncertainty of model of a vector of a condition
Keywords: distribution of the Pearson identification control
Authors:
V.A. Pogorelov - Dr.Sc. (Eng.), Associate Professor, Leading Researcher, FRPC «RNIIRS» A.S. Mit-kin - Leader of Sector, FRPC «RNIIRS»
Abstract:
The paper is devoted a solution of a problem of identification of parameters of stochastic model of radio engineering system (RTS) and controls by it. Essential difference from the traditional approaches assuming construction of operated system in the form of the integro-differential equations with partial derivatives is passage from the equations for an a posteriori denseness to system of the moments. Further approximation of an a posteriori denseness by distribution Pearsonis used. The received recurrent expression for the a posteriori moments allows reducing a problem to integration of system of the ordinary differential equations. For identification of parameters of a condition of RTS and control it uses maximum principle Pontrygina which leads to necessity of a solution of a two-point boundary value problem. The solution of last is carried out a method of invariant immersing. Working capacity and efficiency of the developed method are confirmed by outcomes of comparative modeling, on a concrete example of the comparison which have shown in relation to plant a raise of accuracy of an estimation to 40%. The received method can find application in systems of a radar-location, navigation, connection and control of dynamic multipurpose systems.
Pages: 50-54
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