Journal
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
Volume 23, Issue 6, Pages 1001-1012Publisher
AMER INST AERONAUT ASTRONAUT
DOI: 10.2514/2.4668
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The problem of H-infinity deconvolution of linear discrete-time stationary processes is considered where the parameters of the process are partially unknown. By the use of the state-space model of the system, the state-space matrices are assumed to reside in a given polytope, A stationary deconvolver is obtained that achieves a preassigned input estimation level for ail of the matrices in the uncertainty polytope. Two types of deconvolvers are considered: The first one directly aims at estimating the selected inputs, whereas the second type tries to estimate a dynamically weighted version of the input. The theory presented is illustrated via an example of fault detection in a servosystem of an air vehicle.
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