edited by Miguel A F Sanjuán (Universidad Rey Juan Carlos, Spain) & Celso Grebogi (University of Aberdeen, UK)

Table of Contents (36k)
Preface (38k)
Chapter 1: Reduction of the Chaotic Transport of Impurities in Turbulent Magnetized Plasmas (7,548k)

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.

• Reduction of the Chaotic Transport of Impurities in Turbulent Magnetized Plasmas (C Chandre et al.)
• Controlling Chaos in a Chaotic Neural Network (G He et al.)
• Adaptive Feedback Control of Periodic Orbits in Chaotic Systems (H Ando et al.)
• Feedback Anti-Control of Chaos (Y Shi & G Chen)
• Delayed Feedback Control Techniques (K Pyragas & V Pyragas)
• Phase Control in Nonlinear Systems (S Zambrano et al.)
• Recent Advances in Control of Complex Dynamics in Mechanical and Structural Systems (G Rega & S Lenci)
• Clipping Chaos to Cycles (S Sinha)
• A Minimal Model of City Traffic: Chaos, Critical Behavior and Control (J A Valdivia et al.)
• Controlling Chaotic Bursting in Map-Based Neuron Network Models (R L Viana et al.)
• Partial Control of Chaotic Systems (S Zambrano & M A F Sanjuán)
• Continuous and Pulsive Feedback Control of Chaos (G Litak et al.)
• Chaos Control (L F R Turci & E E N Macau)
• Chaos Stabilization in the Three Body Problem (A R Dzhanoev et al.)
• Controlling the Chaos Using Fuzzy Estimation in a Gyrostat Satellite (A Guran)