Full Description
This book presents recent advances in the estimation and control of nonlinear fractional‑order systems, viewed through the lens of fixed‑point theory. Fractional‑order models have gained importance for their ability to represent memory, hereditary properties, and complex system behavior with greater fidelity than classical integer‑order approaches. Yet the nonlinear nature of these systems introduces analytical and numerical challenges.
The authors address these challenges by developing a unified framework grounded in fixed‑point theory, offering practical tools for stability analysis, numerical approximation, control design, and state estimation. Each chapter explains key concepts using a consistent structure and concludes with real‑world examples, including applications in engineering, physics, and biological systems.
Designed for graduate students, researchers, and engineers working in control theory, applied mathematics, and nonlinear dynamics, this book provides a self‑contained and accessible introduction to contemporary methods for analyzing and controlling nonlinear fractional‑order systems.
Contents
Introduction.- Essential overview.- A fixedpoint state estimator based on the conformable fractional order derivative.- Derivative free fixed point state estimators.- Fixed point numerical controller.- Fractional order proportional beta Integral state estimator.- Fractional order alpha differentiator.- A novel method for parameter identification.- An application to civil structures with beta.- A dynamic controller for quasi synchronization problem in fractional order chaotic systems.- Fault tolerant control and fault diagnosis.
