from 01.01.2017 until now
g. Moskva, gor. Troick, Moscow, Russian Federation
This paper deals with the identification of nonlinear systems of adaptive observers (AO). The process of building an AH consists of two stages – structural and parametric. At the structural stage, the class of nonlinearity and its structural parameters are estimated. In the process of parametric identification, the adjustment of the obtained parameters of the nonlinear system takes place. Considered two cases of application of structural information. The main focus is on the case of insufficient structural information. Adaptive algorithms for setting the parameters of AO are proposed. A procedure for estimating uncertainty is proposed.
adaptive observer, identification, structural identification, structural identifiability, non-linear system, Lyapunov vector function, framework, saturation
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