Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/12616
Title: On H∞ Estimation of Randomly Occurring Faults for a class of nonlinear time-varying systems with fading channels
Authors: Dong, H
Wang, Z
Ding, SX
Gao, H
Keywords: H∞ fault estimation;Nonlinear systems;Randomly occurring faults;Time-varying systems
Issue Date: 2016
Publisher: IEEE
Citation: IEEE Transactions on Automatic Control, 61(2): pp. 479 - 484, (2016)
Abstract: This technical note is concerned with the finite-horizon H∞ fault estimation problem for a class of nonlinear stochastic time-varying systems with both randomly occurring faults and fading channels. The system model (dynamical plant) is subject to Lipschitz-like nonlinearities and the faults occur in a random way governed by a set of Bernoulli distributed white sequences. The system measurements are transmitted through fading channels described by a modified stochastic Rice fading model. The purpose of the addressed problem is to design a time-varying fault estimator such that, in the presence of channel fading and randomly occurring faults, the influence from the exogenous disturbances onto the estimation errors is attenuated at the given level quantified by a H∞-norm in the mean square sense. By utilizing the stochastic analysis techniques, sufficient conditions are established to ensure that the dynamic system under consideration satisfies the prespecified performance constraint on the fault estimation, and then a recursive linear matrix inequality approach is employed to design the desired fault estimator gains. Simulation results demonstrate the effectiveness of the developed fault estimation design scheme.
URI: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7112626
http://bura.brunel.ac.uk/handle/2438/12616
DOI: http://dx.doi.org/10.1109/TAC.2015.2437526
ISSN: 0018-9286
Appears in Collections:Dept of Computer Science Research Papers

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