Control of Chaos: Methods and Applications. II. Applications
Automation and Remote Control
Control Time in Systems of Chaotic Behavior. I. Its Estimation
Automation and Remote Control
Partial stability and control: The state-of-the-art and development prospects
Automation and Remote Control
Adaptive Control of Bifurcation Modes in Nonautonomous Nonlinear Systems
Automation and Remote Control
Automatica (Journal of IFAC)
Dissipation normal forms and further applications of Lyapunov - Tellegen's principle
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
Implementation of dynamic programming for chaos control in discrete systems
Journal of Computational and Applied Mathematics
Physical correctness of systems, state space representations, minimality and dissipativity
ICS'09 Proceedings of the 13th WSEAS international conference on Systems
A cellular automaton for a surface reaction: Stabilization from chaotic to periodical states
Advances in Engineering Software
On stochastic sensitivity control in discrete systems
Automation and Remote Control
Controlling chaotic systems via nonlinear state feedback and linear H∞controller design
NOLASC'06 Proceedings of the 5th WSEAS international conference on Non-linear analysis, non-linear systems and chaos
Adaptive, model-following control of chaotic systems
ICS'10 Proceedings of the 14th WSEAS international conference on Systems: part of the 14th WSEAS CSCC multiconference - Volume II
Adaptive-based methods for information transmission by means of chaotic signal source modulation
Automation and Remote Control
Simple environment for developing methods of controlling chaos in spatially distributed systems
International Journal of Applied Mathematics and Computer Science - Semantic Knowledge Engineering
Robust stability of impulsive Takagi-Sugeno fuzzy systems with parametric uncertainties
Information Sciences: an International Journal
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The problems and methods of control of chaos, which in the last decade was the subject of intensive studies, were reviewed. The three historically earliest and most actively developing directions of research such as the open-loop control based on periodic system excitation, the method of Poincare map linearization (OGY method), and the method of time-delayed feedback (Pyragas method) were discussed in detail. The basic results obtained within the framework of the traditional linear, nonlinear, and adaptive control, as well as the neural network systems and fuzzy systems were presented. The open problems concerned mostly with support of the methods were formulated. The second part of the review will be devoted to the most interesting applications.