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Type-2 Fuzzy Logic: Uncertain Systems¿ Modeling and Control

-15% su kodu: ENG15
143,97 
Įprasta kaina: 169,38 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
143,97 
Įprasta kaina: 169,38 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 169.3800 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 20,00 

Knygos aprašymas

This book focuses on a particular domain of Type-2 Fuzzy Logic, related to process modeling and control applications. It deepens readers¿understanding of Type-2 Fuzzy Logic with regard to the following three topics: using simpler methods to train a Type-2 Takagi-Sugeno Fuzzy Model; using the principles of Type-2 Fuzzy Logic to reduce the influence of modeling uncertainties on a locally linear n-step ahead predictor; and developing model-based control algorithms according to the Generalized Predictive Control principles using Type-2 Fuzzy Sets.   Throughout the book, theory is always complemented with practical applications and readers are invited to take their learning process one step farther and implement their own applications using the algorithms¿ source codes (provided). As such, the book offers avaluable referenceguide for allengineers and researchers in the field ofcomputer science who are interested in intelligent systems, rule-based systems and modeling uncertainty.

Informacija

Autorius: Rómulo Antão
Serija: Nonlinear Physical Science
Leidėjas: Springer Nature Singapore
Išleidimo metai: 2018
Knygos puslapių skaičius: 140
ISBN-10: 9811351872
ISBN-13: 9789811351877
Formatas: 235 x 155 x 8 mm. Knyga minkštu viršeliu
Kalba: Anglų

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