Controlling Chaos

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Controlling Chaos

Author: Huaguang Zhang
language: en
Publisher: Springer Science & Business Media
Release Date: 2009-06-18
Controlling Chaos achieves three goals: the suppression, synchronisation and generation of chaos, each of which is the focus of a separate part of the book. The text deals with the well-known Lorenz, Rössler and Hénon attractors and the Chua circuit and with less celebrated novel systems. Modelling of chaos is accomplished using difference equations and ordinary and time-delayed differential equations. The methods directed at controlling chaos benefit from the influence of advanced nonlinear control theory: inverse optimal control is used for stabilization; exact linearization for synchronization; and impulsive control for chaotification. Notably, a fusion of chaos and fuzzy systems theories is employed. Time-delayed systems are also studied. The results presented are general for a broad class of chaotic systems. This monograph is self-contained with introductory material providing a review of the history of chaos control and the necessary mathematical preliminaries for working with dynamical systems.
Managing Chaos

The basics of digital governance -- Your digital team: where they are and what they do -- Digital strategy: aligning expertise and authority -- Staying on track with digital policy -- Stopping the infighting about digital standards -- Five digital governance design factors -- Getting it done -- The decision to govern well -- Multinational business-to-business case study -- Government case study -- Higher education case study.
Recent Progress in Controlling Chaos

Author: Miguel Angel Fernández Sanjuán
language: en
Publisher: World Scientific
Release Date: 2010
This review volume consists an indispensable collection of research papers chronicling the recent progress in controlling chaos. Here, new theoretical ideas, as experimental implementations of controlling chaos, are included, while the applications contained in this volume can be referred to as turbulent magnetized plasmas, chaotic neural networks, modeling city traffic and models of interest in celestial mechanics. Recent Progress in Controlling Chaos provides an excellent broad overview of the subject matter, and will be especially useful for graduate students, researchers and scientists working in the areas of nonlinear dynamics, chaos and complex systems. The authors, world-renowned scientists and prominent experts in the field of controlling chaos, will offer readers through their research works, a fascinating insight into the state-of-the-art technology used in the progress in key techniques and concepts in the field of control.