Fractional-Order Modeling of Dynamic Systems with Applications in Optimization, Signal Processing, and Control Fractional-Order Modeling of Dynamic Systems with Applications in Optimization, Signal Processing, and Control
Emerging Methodologies and Applications in Modelling, Identification and Control

Fractional-Order Modeling of Dynamic Systems with Applications in Optimization, Signal Processing, and Control

Ahmed G. Radwan and Others
    • $204.99
    • $204.99

Publisher Description

Fractional-order Modelling of Dynamic Systems with Applications in Optimization, Signal Processing and Control introduces applications from a design perspective, helping readers plan and design their own applications. The book includes the different techniques employed to design fractional-order systems/devices comprehensively and straightforwardly. Furthermore, mathematics is available in the literature on how to solve fractional-order calculus for system applications. This book introduces the mathematics that has been employed explicitly for fractional-order systems. It will prove an excellent material for students and scholars who want to quickly understand the field of fractional-order systems and contribute to its different domains and applications.

Fractional-order systems are believed to play an essential role in our day-to-day activities. Therefore, several researchers around the globe endeavor to work in the different domains of fractional-order systems. The efforts include developing the mathematics to solve fractional-order calculus/systems and to achieve the feasible designs for various applications of fractional-order systems.



- Presents a simple and comprehensive understanding of the field of fractional-order systems

- Offers practical knowledge on the design of fractional-order systems for different applications

- Exposes users to possible new applications for fractional-order systems

GENRE
Professional & Technical
RELEASED
2021
October 22
LANGUAGE
EN
English
LENGTH
528
Pages
PUBLISHER
Academic Press
SELLER
Elsevier Ltd.
SIZE
74.9
MB
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