£109.91

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Springer Fuzzy Logic, Identification and Predictive Control - Springer

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Description

Modern industrial processes demand advanced control systems capable of handling complex decision-making beyond simple binary responses. Fuzzy Logic, Identification and Predictive Control by Springer addresses this need by demonstrating how fuzzy systems integrate numeric and linguistic information within a unified framework. This comprehensive guide teaches you to construct both static and dynamic fuzzy models using real-world numerical data, enabling more adaptable and intelligent control protocols. Perfect for engineers and control systems specialists seeking to implement fuzzy logic techniques in industrial applications where linguistic descriptions prove more practical than rigid numerical specifications. The book bridges the gap between theoretical fuzzy logic concepts and practical predictive control implementations, making it an essential resource for advancing your expertise in AI-driven industrial automation and adaptive control systems.

Key Features

Springer publication covering fuzzy logic fundamentals and advanced control techniques for modern industrial systems.

Teaches construction of both static and dynamic fuzzy models using real numerical data from industrial processes.

Integrates numeric and linguistic information within a single fuzzy framework for more intuitive system control.

Addresses predictive control applications where linguistic descriptions are more relevant than traditional yes/no responses.

Ideal for engineers designing adaptable control protocols for complex circumstances in industrial automation environments.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
21 October 2010
Listed Since
01 October 2010

Barcode

No barcode data available

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