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Maneuvering Target Tracking using T-S Fuzzy Model of Physical Membership Function

  • Research Article-Systems Engineering
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Abstract

A T-S fuzzy model identification method based on physical membership function is proposed for maneuvering target tracking. T-S fuzzy model is a good tool for fitting complex and nonlinear systems conducted by separating inputs–outputs spaces of systems and identifying corresponding parameters. Usually membership degrees play important roles in fusing local fuzzy models for reflecting nonlinear property of T-S fuzzy model, however, usual membership degrees are obtained by Gaussian function, which not only lacks interpretability and meanings but also is complex to be used. In this paper, a physical membership function with interpretability and physical meanings is proposed. To identify T-S fuzzy model based on the proposed method, first, a hyper-planed FSC algorithm as the separating method is utilized. Then UKF is used to identify consequent parameters. Finally, the proposed physical membership function is used to fuse local models and estimate final states. We apply the proposed T-S fuzzy model algorithms to maneuvering target tracking, and comparisons with several classical methods on both simulated data and real data demonstrate effectiveness and advantages of the proposed methods in tracking accuracy.

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Acknowledgements

We sincerely thank editor-in-chief, assigned deputy editor and anonymous reviewers for their efforts and suggestions on our work. This work was supported by the National Natural Science Foundation of China (Grant No. 62171287 and 61773267), Science and Technology Program of Shenzhen (Grant No. JCYJ20170302145519524, JCYJ20170818102503604 and JCYJ20190808120417257).

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Authors and Affiliations

  1. ATR Key Laboratory, Shenzhen University, Shenzhen, 518060, China

    Lingyu Meng & Liangqun Li

  2. Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, 518060, China

    Lingyu Meng & Liangqun Li

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  1. Lingyu Meng
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  2. Liangqun Li
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Correspondence to Liangqun Li.

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Meng, L., Li, L. Maneuvering Target Tracking using T-S Fuzzy Model of Physical Membership Function. Arab J Sci Eng 47, 3889–3898 (2022). https://doi.org/10.1007/s13369-021-06139-9

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  • DOI: https://doi.org/10.1007/s13369-021-06139-9

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