Abstract
In this chapter, we consider the identification of T–S fuzzy models based on input–output (I/O) data. The identification of T–S fuzzy models includes two major tasks: structure identification and parameter identification. Structure identification determines the premise (input) variables, the number of fuzzy rules, and the initial positions of membership functions. Parameter identification determines a feasible set of parameters including antecedent (membership function) parameters and consequent parameters under a given structure.
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Qi, R., Tao, G., Jiang, B. (2019). T–S Fuzzy System Identification Using I/O Data. In: Fuzzy System Identification and Adaptive Control. Communications and Control Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-19882-4_4
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DOI: https://doi.org/10.1007/978-3-030-19882-4_4
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