Event-based Fault Detection Filtering for Complex Networked Jump Systems - 2017


This paper is concerned with the fault detection filtering for complicated systems over communication networks subject to nonhomogeneous Markovian parameters. A residual signal is generated that offers a satisfactory estimation of the fault and a happening-triggered scheme is proposed to determine whether or not the networks should be updated at the trigger instants set by the event-threshold. Moreover, a random process is utilized to model the phenomenon of malicious packet losses. Consequently, a unique method is presented to handle the stochastically stability analysis and satisfies a given H2 performance index simultaneously. The condition of the existence of the filter style algorithm springs by a convex optimization approach to estimate the faults and to get a residual. Finally, the proposed fault detection filtering methodology is then applied to an industrial nonisothermal continuous stirred tank reactor below realistic network conditions. Simulation results are given to show the effectiveness of the proposed design technique and also the designed filter.

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