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Books > Computing & IT > Applications of computing > Artificial intelligence
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Type-2 Fuzzy Logic - Uncertain Systems' Modeling and Control (Hardcover, 1st ed. 2017)
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Type-2 Fuzzy Logic - Uncertain Systems' Modeling and Control (Hardcover, 1st ed. 2017)
Series: Nonlinear Physical Science
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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.
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