
doi: 10.1002/acs.3894
SummaryIn this article, we study parameter estimation problems for fractional commensurate Hammerstein systems utilizing the conformable fractional derivative. Two algorithms are investigated: first, the Poisson moment functions (PMF) method, aiming to transfer the fractional derivative of the measurement signal into PMF using the fractional Laplace transform and convolution; second, a proposed new instrumental variable algorithm, which is based on the conformable fractional derivative. Both algorithms have been analyzed and shown to be consistent. A comprehensive complexity analysis is provided for each algorithm. Furthermore, a kind of special time‐varying systems are discussed under the conformable fractional derivative. Finally, an example is given to illustrate the effectiveness of the proposed algorithms.
conformable fractional derivative, Fractional derivatives and integrals, Hammerstein systems, Nonlinear systems in control theory, System identification, parameter estimation, time-varying systems
conformable fractional derivative, Fractional derivatives and integrals, Hammerstein systems, Nonlinear systems in control theory, System identification, parameter estimation, time-varying systems
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