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Springer Modern Adaptive Fuzzy Control Systems - Springer Studies 421

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Description

Modern Adaptive Fuzzy Control Systems is volume 421 in Springer's authoritative Studies in Fuzziness and Soft Computing series, offering a comprehensive exploration of advanced fuzzy control methodologies and their adaptive applications. This scholarly work addresses the integration of fuzzy logic with adaptive control techniques, providing researchers, engineers, and academics with in-depth analysis of how fuzzy systems can be dynamically adjusted to handle complex, real-world control challenges. The book bridges theoretical foundations and practical implementations, making it an essential resource for those working in artificial intelligence, control systems engineering, and computational intelligence. Ideal for graduate students, PhD researchers, and professionals seeking to advance their understanding of fuzzy control theory and its modern applications across industrial automation, robotics, and dynamic systems management.

Key Features

Volume 421 in the Studies in Fuzziness and Soft Computing series published by Springer, establishing scholarly credibility in fuzzy systems research.

Covers adaptive fuzzy control systems that dynamically adjust to changing environmental conditions and operational parameters.

Combines fuzzy logic theory with control engineering principles, providing both theoretical foundations and practical implementation guidance.

Serves as an authoritative reference for researchers in artificial intelligence, soft computing, and advanced control methodologies.

Addresses real-world applications of fuzzy control across industrial automation, robotics, and complex dynamic systems.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
04 November 2023
Listed Since
08 October 2023

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