Fractional-order Systems and Controls Fractional-order Systems and Controls
Advances in Industrial Control

Fractional-order Systems and Controls

Fundamentals and Applications

    • 119,99 €
    • 119,99 €

Description de l’éditeur

Fractional-order Systems and Controls details the use of fractional calculus (calculus of non-integer order) in the description and modeling of systems, and in a range of control design and practical applications. It is largely self-contained, covering the fundamentals of fractional calculus together with some analytical and numerical techniques and providing MATLAB® codes for the simulation of fractional-order control (FOC) systems (available by download from www.springer.com/ISBN). The use of fractional calculus can improve and generalize well-established control methods and strategies. Many different FOC schemes are presented for control and dynamic systems problems. These extend to the challenging control engineering design problems of robust and nonlinear control. Practical material relating to a wide variety of applications including, among others, mechatronics, civil engineering, irrigation and water management, and biological systems is also provided. All the control schemes and applications are presented in the monograph with either system simulation results or real experimental results, or both. Fractional-order Systems and Controls introduces its readers – academic and industrial control researchers interested in mechatronics, nonlinear and robust control, and applications fields from civil engineering to biological systems – to the essentials of FOC and imbues them with a basic understanding of FOC concepts and methods. With this knowledge readers can extend their use of FOC in other industrial system applications, thereby expanding their range of disciplines by exploiting this versatile new set of control techniques.

GENRE
Professionnel et technique
SORTIE
2010
28 septembre
LANGUE
EN
Anglais
LONGUEUR
431
Pages
ÉDITIONS
Springer London
DÉTAILS DU FOURNISSEUR
Springer Science & Business Media LLC
TAILLE
27,9
Mo
Model-Based Control of Mass–Stiffness–Damping Systems Model-Based Control of Mass–Stiffness–Damping Systems
2025
Optimal Iterative Learning Control Optimal Iterative Learning Control
2025
Control Systems Benchmarks Control Systems Benchmarks
2025
Multicopter Flight Control Multicopter Flight Control
2025
Optimization of Electric-Vehicle Charging Optimization of Electric-Vehicle Charging
2024
Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games
2024