Finite-time estimation of multiple exponentially-damped sinusoidal signals: A kernel-based approach

• Autores: Boli Chen, Peng Li, Gilberto Pin-, Giuseppe Fedele, Thomas Parisini
• Localización: Automatica: A journal of IFAC the International Federation of Automatic Control, ISSN 0005-1098, Nº. 106, 2019, págs. 1-7
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • The problem of estimating the parameters of biased and exponentially-damped multi-sinusoidal signals is addressed in this paper by a finite-time identification scheme based on Volterra integral operators. These parameters are the amplitudes, frequencies, initial phase angles, damping factors and the offset. The proposed strategy entails the design of a new kind of kernel function that, compared to existing ones, allows for the identification of the initial conditions of the signal-generator system. The worst-case behavior of the proposed algorithm in the presence of bounded additive disturbances is fully characterized by Input-to-State Stability arguments. Numerical examples including the comparisons with some existing tools are reported to show the effectiveness of the proposed methodology.