Robust and Adaptive Systems

Adaptive estimation of variable weights in a linear adder

V. N. Ovcharenko

Moscow State Aviation Institute, Moscow, Russia

Abstract: We consider the adaptive estimation problem for variable weights in a linear adder from known values of a scalar function. We further develop an adaptive identification algorithm for static systems. We obtain a nonlinear adaptive estimation algorithm based on correcting prior values of variable weights. In special cases, we establish conditions for the existence of a solution in the estimation problem. We demonstrate the efficiency of the proposed nonlinear adaptive estimation algorithm for variable weights in a linear adder with an example.

Presented by the member of Editorial Board: V. A. Lototskii

Received: 11.01.2012

 English version: Automation and Remote Control, 2013, 74:4, 660–670

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