Stabilizing the Richardson eigenvector algorithm by controlling chaos
Computers in Physics
PID control of a chaotic system: an application to an epidemiological model
Automatica (Journal of IFAC)
Directing orbits of chaotic systems in the presence of noise: feedback correction
Dynamics and Control
Digital communications using chaos
Signal Processing - Special issue on emerging techniques for communication terminals
Adaptive synchronization methods for signal transmission on chaotic carriers
Mathematics and Computers in Simulation - Chaos synchronization and control
Control of Chaos: Methods and Applications. I. Methods
Automation and Remote Control
Bimodal dynamics in nephron autoregulation
PHYCON '03 Proceedings of the Physics and Control, 2003. on 2003 International Conference, Vol 1 - Volume 01
Nonlinear processes and control of chaos in chemical technology
PHYCON '03 Proceedings of the 2003 International Conference on Physics and Control - Volume 2
PHYCON '03 Proceedings of the 2003 International Conference on Physics and Control - Volume 2
Synchronization of chaos and small signal amplification in electron-hole plasma of germanium
PHYCON '03 Proceedings of the 2003 International Conference on Physics and Control - Volume 2
Chaos in germanium oscillistor
PHYCON '03 Proceedings of the 2003 International Conference on Physics and Control - Volume 2
Brief Paper: Dynamical analysis and control of microcantilevers
Automatica (Journal of IFAC)
Stabilizing Chaos with Predictive Control
Automation and Remote Control
Adaptive observer-based synchronization of the nonlinear nonpassifiable systems
Automation and Remote Control
Information Sciences: an International Journal
Preservation of synchronization in dynamical systems via Lyapunov methods
WSEAS Transactions on Circuits and Systems
Adaptive-based methods for information transmission by means of chaotic signal source modulation
Automation and Remote Control
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Reviewed were the problems and methods for control of chaos, which in the last decade was the subject of intensive studies. Consideration was given to their application in various scientific fields such as mechanics (control of pendulums, beams, plates, friction), physics (control of turbulence, lasers, chaos in plasma, and propagation of the dipole domains), chemistry, biology, ecology, economics, and medicine, as well as in various branches of engineering such as mechanical systems (control of vibroformers, microcantilevers, cranes, and vessels), spacecraft, electrical and electronic systems, communication systems, information systems, and chemical and processing industries (stirring of fluid flows and processing of free-flowing materials)).