On Optimal Test Signal Design and Parameter Identification Schemes for Dynamic Takagi-Sugeno Fuzzy Models Using the Fisher Information Matrix
نویسندگان
چکیده
Abstract This paper is concerned with the analysis of optimization procedures for optimal experiment design locally affine Takagi-Sugeno (TS) fuzzy models based on Fisher Information Matrix (FIM). The FIM used to estimate covariance matrix a parameter estimate. It depends model parameters as well regression variables. Due dependency good initial are required. Since matrix, scalar measure optimized. Different measures and goals investigated in three case studies.
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ژورنال
عنوان ژورنال: International Journal of Fuzzy Systems
سال: 2021
ISSN: ['2199-3211', '1562-2479']
DOI: https://doi.org/10.1007/s40815-021-01185-9