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- W2043911134 abstract "We give an overview of a recent method we proposed for the solution of on-line deconvolution problems, which can be applied to Active Noise Cancellation (ANC). The method has been studied both for lumped parameter systems and for distributed systems in input–output and in state space form. Finally, we show that the identification algorithm can be extended to identify inputs to systems modelled by partial differential equations with infinite memory. Such class of equations are encountered in different applications: thermal processes with finite diffusion speed, viscoelasticity, nonfickian diffusion… So, this identification problem is of interest for example in thermodynamics, biology or pharmacology, when the immission of a solute – a drug for example – has to be detected. The analysis of this example will give a feeling of the methods of proof used in this kind of study." @default.
- W2043911134 created "2016-06-24" @default.
- W2043911134 creator A5040469433 @default.
- W2043911134 date "2010-12-01" @default.
- W2043911134 modified "2023-10-17" @default.
- W2043911134 title "On-line input identification and application to Active Noise Cancellation" @default.
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- W2043911134 doi "https://doi.org/10.1016/j.arcontrol.2010.07.001" @default.
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