"Dynamical Systems Theory, Models, Algorithms and Applications Advances" ed. by Bruno Carpentieri

This book provides an overview of recent developments in the theory of dynamical systems, presenting some significant advances in the definition of new models, computer algorithms, and applications. Researchers, engineers and graduate students in both pure and applied mathematics will benefit from the chapters collected in this volume.

The theory of modern dynamical systems dates back to 1890 with studies by Poincaré on celestial mechanics. The tradition was continued by Birkhoff in the United States with his pivotal work on periodic orbits, and by the Moscow School in Russia (Liapunov, Andronov, Pontryagin). In the 1960s the field was revived by the emergence of the theory of chaotic attractors, and in modern years by accurate computer simulations.

Contents
1. Text Mining for Industrial Machine Predictive Maintenance with Multiple Data Sources
2. Vibrations of an Elastic Beam Subjected by Two Kinds of Moving Loads and Positioned on a Foundation having Fractional Order Viscoelastic Physical Properties
3. Chaotic Dynamics and Complexity in Real and Physical Systems
4. Invariants for a Dynamical System with Strong Random Perturbations
5. Stochastic Theory of Coarse-Grained Deterministic Systems: Martingales and Markov Approximations
6. Qualitative Analysis for Controllable Dynamical Systems: Stability with Control Lyapunov Functions


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