Constructing the State Estimation Algorithms Based on Decomposition for the Fractional Dynamic Systems

The paper deals with the statement of the nonlinear task of estimating the dynamic system state, unknown parameters, and fractional order. The solution uses the decomposition approach, which includes Kalman filters, wavelets, fuzzy systems, neural networks, and their combinations. An example illustrates the problem solution with estimating algorithms accuracy and speed.