Fuzzy systems is a technology that is gaining wide acceptance. In an effort to establish a solid framework for learning, this volume develops a range of adaptive fuzzy systems and applies them to a variey of engineering problems. The author summarizes state-of-the-art methods for automatic tuning of the parameters and structures of fuzzy logic systems. He also shows details of their application to various control and signal processing problems; and how to analyze the performance of the resulting systems.
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Maße
Höhe: 235 mm
Breite: 178 mm
ISBN-13
978-0-13-147109-2 (9780131471092)
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Schweitzer Klassifikation
Description and analysis of fuzzy logic systems; training of fuzzy logic systems using back-propagation; training of fuzzy logic systems using orthogonal least squares; training of fuzzy logic systems using a table-lookup scheme; training of fuzzy logic systems using nearest neighbourhood clustering; comparison of adaptive fuzzy systems with artificial neural networks; stable indirect adaptive fuzzy control of nonlinear systems; stable direct adaptive fuzzy control of nonlinear systems; design of adaptive fuzzy controllers using input-output linearization concepts; design and stability analysis of fuzzy identifiers of nonlinear dynamic systems; fuzzy adaptive filters.
