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《中国航空学报(英文版)》 2014-01
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Robust fault detection and optimization for a network of unmanned vehicles with imperfect communication channels

Niu Erzhuo;Wang Qing;Dong Chaoyang;School of Automation Science and Electrical Engineering,Beihang University;School of Aeronautical Science and Engineering,Beihang University;  
The observer-based robust fault detection and optimization for a network of unmanned vehicles with imperfect communication channels and norm bounded modeling uncertainties are addressed. The network of unmanned vehicles is modeled as a discrete-time uncertain Markovian jump system. Based on the model,a residual generator is constructed and the sufficient condition for the existence of the desired fault detection filter is derived in terms of linear matrix inequality.Furthermore,a time domain optimization approach is proposed to improve the performance of the fault detection system. The problem of detecting small faults can be formulated as an optimization problem and its solution is given. For preventing false alarms,a new adaptive threshold function is established. The combined fault detection and optimization algorithm and the adaptive threshold are then applied to a network of highly maneuverable technology vehicles to illustrate the effectiveness of the proposed approach.
【Fund】: supported by National Natural Science Foundation of China (No.61074027);; National Defense Pre-research Foundation of China (No.9140C48020212HK0101)
【CateGory Index】: U495
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