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Cites:

Information Journal Paper

Title

OPTIMAL DESIGN OF MIXED KALMAN -­H∞ FILTER USING MULTI OBJECTIVE OPTIMIZATION METHOD

Pages

  128-132

Abstract

 Dynamic model identification and state variables estimation from the corrupted measurement data have been attracted much research efforts during the recent years. In this way, Kalman and H-infinity filters have been increasingly used to estimate the parameters individually. In this paper, a mixed kalman-H∞ filter is designed in an innovative approach using a multi-objective optimization method. It is desired to simultaneously employ the advantages of both filters to minimize both the root-mean squared errors and the upper bounds limit of estimation errors associated with Kalman and H-infinity filters, respectively. Some Pareto optimum design points are presented for two case studies from which trade-off optimum design points can be simply selected.

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  • Cite

    APA: Copy

    MASOUMNEZHAD, MOJTABA, MOAFI, ALI, JAMALI, ALI, & NARIMAN­ ZADEH, NADER. (2014). OPTIMAL DESIGN OF MIXED KALMAN -­H∞ FILTER USING MULTI OBJECTIVE OPTIMIZATION METHOD. MODARES MECHANICAL ENGINEERING, 14(2), 128-132. SID. https://sid.ir/paper/178371/en

    Vancouver: Copy

    MASOUMNEZHAD MOJTABA, MOAFI ALI, JAMALI ALI, NARIMAN­ ZADEH NADER. OPTIMAL DESIGN OF MIXED KALMAN -­H∞ FILTER USING MULTI OBJECTIVE OPTIMIZATION METHOD. MODARES MECHANICAL ENGINEERING[Internet]. 2014;14(2):128-132. Available from: https://sid.ir/paper/178371/en

    IEEE: Copy

    MOJTABA MASOUMNEZHAD, ALI MOAFI, ALI JAMALI, and NADER NARIMAN­ ZADEH, “OPTIMAL DESIGN OF MIXED KALMAN -­H∞ FILTER USING MULTI OBJECTIVE OPTIMIZATION METHOD,” MODARES MECHANICAL ENGINEERING, vol. 14, no. 2, pp. 128–132, 2014, [Online]. Available: https://sid.ir/paper/178371/en

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