Identification of Symmetric Volterra Kernels Using Piecewise Linear Test Signals
The paper focuses on the identification of a controlled dynamic object by its integral model in the form of a Volterra polynomial with the aid of test signals with a rising edge. A piecewise linear form of the inputs is chosen following the specifics of their formation for modeling the dynamics of a horizontal axis wind turbine. A new class of two-dimensional Volterra integral equations of the first kind, which have variable limits of integration and explicit inversion formulas, is distinguished. Sufficient conditions for the existence of a solution in the class of symmetric functions are obtained. © 2022 IEEE.
Библиографическая ссылка
Solodusha S. Identification of Symmetric Volterra Kernels Using Piecewise Linear Test Signals // Proceedings of 2022 16th International Conference on Stability and Oscillations of Nonlinear Control Systems (Pyatnitskiy's Conference), STAB 2022. ID:66. 2022. ISBN (print): 9781665465861. DOI: 10.1109/STAB54858.2022.9807575
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