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Springer Fault-Tolerant Control Time-Varying Delayed T-S Fuzzy Systems

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Description

This volume from Springer's Intelligent Control and Learning Systems series provides comprehensive coverage of fault-tolerant control methodologies for time-varying delayed T-S fuzzy systems. Designed for researchers, engineers and academics in control theory and intelligent systems, the book combines theoretical foundations with practical applications. It addresses the critical challenge of maintaining system stability and performance when component failures occur in complex dynamical systems with inherent time delays. The text integrates fuzzy logic frameworks with advanced control techniques to develop robust solutions that adapt to changing system conditions. This work contributes essential knowledge to the field of adaptive and resilient control systems, making it invaluable for those working on real-world industrial automation, process control, and safety-critical applications where fault tolerance is paramount.

Key Features

Part of Springer's Intelligent Control and Learning Systems series, volume 9, offering peer-reviewed academic research on advanced control methodologies.

Focuses on time-varying delayed T-S fuzzy systems, providing solutions for complex nonlinear systems with state-dependent time delays.

Presents fault-tolerant control strategies designed to maintain performance and stability when component failures occur.

Combines fuzzy logic frameworks with control theory to develop adaptive solutions for challenging real-world system dynamics.

Addresses both theoretical analysis and practical implementation for industrial automation and safety-critical applications.

Comprehensive treatment of robustness techniques applicable to systems requiring high reliability and fault resistance.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
16 May 2023
Listed Since
24 February 2023

Barcode

No barcode data available

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