JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2017, Vol. 47 ›› Issue (5): 254-262.doi: 10.6040/j.issn.1672-3961.0.2017.253

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On least squares fault estimation with incorrect measurement noise statistics

ZHAO Ye1, HE Xiao1, ZHOU Donghua2,1*   

  1. 1. Department of Automation, Tsinghua University, Beijing 100084, China;
    2. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, Shandong, China
  • Received:2017-02-10 Online:2017-10-20 Published:2017-02-10

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Abstract: The least squares fault estimation and performance analysis problem was investigated for a class of systems with event-triggered measurement transmission and incorrect measurement noise statistics. Usually, measurement noise statistics was not completely known. In this case, an event-triggered scheme was proposed to transmit the measurement output to remote estimator when a pre-set condition was violated and an event was triggered. A filter was designed in order to minimize an upper bound of filtering error covariance with event-triggered measurement transmissions and incorrect measurement noise statistics. The desired filter parameters were calculated recursively for online computation in the framework using the least squares method. Performance of the proposed filter with incorrect measurement noise statistics was further studied and analyzed. A numerical simulation with actual background was exploited to illustrate the effectiveness of the proposed algorithm and demonstrate the performance difference.

Key words: incorrect measurement noise, filter design, least square, fault estimation, performance analysis

CLC Number: 

  • TP391.41
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