£113.91

Springer - Fuzzy Dynamic Equations and Optimal Control Book

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Description

Explore the complex world of mathematical modeling with this comprehensive text from Springer. This book provides a systematic account of recent developments in the theory of dynamic equations, specifically focusing on how fuzzy theory and interval analysis can address uncertainty, ambiguity, or vague factors within these systems. Designed for those working in control theory, mathematical economics, mathematical biology, and engineering, this resource bridges the gap between theoretical development and practical application. It describes the current state of useful theory and demonstrates the essential unity achieved within the study of fuzzy dynamic equations, dynamic inclusions, and optimal control problems on time scales. Whether you are researching technological applications or studying mathematical biology, this text offers the necessary tools to model equations on time scales where traditional methods may fall short due to imprecise data. It serves as a vital reference for understanding how to manage uncertainty in dynamic systems through advanced mathematical frameworks.

Key Features

Covers essential applications in control theory, mathematical economics, and mathematical biology.

Provides a systematic account of recent developments in fuzzy dynamic equations and dynamic inclusions.

Explains how to use fuzzy theory and interval analysis to model uncertainty and ambiguity.

Demonstrates the unity between fuzzy dynamic equations and optimal control problems on time scales.

Offers a detailed look at the current state of useful theory for engineering and technology applications.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
15 July 2021
Listed Since
15 August 2020

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