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Periodic inputs reconstruction of partially measured linear periodic systems

Abstract : In this paper, the problem of inputreconstruction for the general case of periodiclinearsystems driven by periodicinputs is addressed where x(t)∈Rn and A(t), A0(t), and C(t) are T0-periodic matrices and w is a periodic signal containing an infinite number of harmonics. The contribution of this paper is the design of a real-time observer of the periodic excitation w(t) using only partial measurement. The employed technique estimates the (infinite) Fourier decomposition of the signal. Although the overall system is infinite dimensional, convergence of the observer is proven using a standard Lyapunov approach along with classic mathematical tools such as Cauchy series, Parseval equality, and compact embeddings of Hilbert spaces. This observer design relies on a simple asymptotic formula that is useful for tuning finite-dimensional filters. The presented result extends recent works where full-state measurement was assumed. Here, only partial measurement, through the matrix C(t), is considered.
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https://hal-mines-paristech.archives-ouvertes.fr/hal-00733283
Contributor : François Chaplais <>
Submitted on : Tuesday, September 18, 2012 - 12:35:11 PM
Last modification on : Thursday, September 24, 2020 - 5:04:18 PM

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Jonathan Chauvin, Nicolas Petit. Periodic inputs reconstruction of partially measured linear periodic systems. Automatica, Elsevier, 2012, 48 (7), pp.1467-1472. ⟨10.1016/j.automatica.2012.05.020⟩. ⟨hal-00733283⟩

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