£108.01

Springer Solving Fault Diagnosis Problems - Julia Code Examples

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Description

Master fault detection and isolation through a computational lens with this specialized text from Springer. Part of the Studies in Systems, Decision and Control series (482), this book provides a comprehensive theoretical treatment of fault and model detection problems specifically for linear time-invariant systems. This edition bridges the gap between theory and application by presenting the most effective numerical approaches to solve specific computational challenges. Readers can move beyond abstract concepts by utilizing supporting software designed to solve complex analysis and filter synthesis problems. By integrating Julia code examples, the text offers a practical pathway for engineers and researchers to implement these mathematical solutions in real-world scenarios. Whether you are studying system reliability or developing advanced diagnostic algorithms, this resource delivers the mathematical foundation and software support needed to handle modern engineering problems effectively.

Key Features

Provides a general theoretical treatment of fault and model detection problems for linear time-invariant systems.

Includes the best numerical approaches to solve specific computational problems within the field.

Offers supporting software to assist with solving analysis and filter synthesis problems.

Features Julia code examples to bridge the gap between mathematical theory and practical implementation.

Part of the professional Studies in Systems, Decision and Control series (Volume 482) by Springer.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
02 February 2025
Listed Since
26 January 2025

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