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Asymptotic reconstruction of the Fourier expansion of inputs of linear time-varying systems with applications

Authors: Jonathan Chauvin, Nicolas Petit, Periodic Control Systems Conference PSYCO 2010, August 2010, Antalya, Turkey
Linear time-varying systems driven by periodic input signals are ubiquitous in control systems. For various reasons, including disturbance rejection and diagnosis by analysis of the trajectories, estimation of their input signals is often desirable. In the present paper, we illustrate a recently proposed general method to solve such problems by an asymptotic reconstruction of the Fourier expansion of the unknown input signal along with several examples from the automotive engine industry, and with an oscillating water column retrieving wave energy.
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BibTeX:
@Proceedings{,
author = {Jonathan Chauvin, Nicolas Petit},
editor = {},
title = {Asymptotic reconstruction of the Fourier expansion of inputs of linear time-varying systems with applications},
booktitle = {Periodic Control Systems Conference PSYCO 2010},
volume = {},
publisher = {},
address = {Antalya, Turkey},
pages = {1-6},
year = {2010},
abstract = {Linear time-varying systems driven by periodic input signals are ubiquitous in control systems. For various reasons, including disturbance rejection and diagnosis by analysis of the trajectories, estimation of their input signals is often desirable. In the present paper, we illustrate a recently proposed general method to solve such problems by an asymptotic reconstruction of the Fourier expansion of the unknown input signal along with several examples from the automotive engine industry, and with an oscillating water column retrieving wave energy.},
keywords = {Observers, Linear Time-Varying systems, Periodic input signals, Automotive applications, wave energy}}