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Fuzzy Modeling and Control: Methods, Applications and Research (eBook, PDF)

Methods, Applications and Research

Redaktion: Harvey, Terrell; Mullins, Dallas
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Fuzzy Modeling and Control: Methods, Applications and Research opens by recommending a new fuzzy RANSAC algorithm based on the reinforcement learning concept to improve modeling performance under the outlier noise. The authors also propose a novel methodology for online modeling of multivariable Hammerstein evolving fuzzy models with minimum realization in state space from experimental data. Results characterized by strongly coupled nonlinearities demonstrate the computational efficiency of the proposed methodology. Later, two types of neural networks are applied to find the approximate soluti...

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