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• W1978478180 abstract "Fault detection and isolation for nonlinear stochastic systems is an important and difficult problem, since the noises especially the measurement noises are unavoidable in practice. In this paper, a new robust sequential Monte Carlo filtering approach for nonlinear systems with unknown disturbances is proposed from the recursive Bayesian estimation theory. Based on this new filtering technique, a robust fault detection and isolation strategy for nonlinear stochastic systems is presented, which is also illustrated by simulations on a DTS200 three-tank model." @default.
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• W1978478180 date "2006-01-01" @default.
• W1978478180 modified "2023-09-24" @default.
• W1978478180 title "DISURBANCE DECOUPING SEQUENTIAL MONTE CARLO FILTERING AND APPLICATION IN NONLINEAR ROBUST FAULT DIAGNOSIS" @default.
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• W1978478180 doi "https://doi.org/10.3182/20060829-4-cn-2909.00034" @default.
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