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Welcome
to CHAOS 09, the Second IFAC meeting related to
analysis and control of chaotic systems
The
Second IFAC meeting related to analysis and control of chaotic systems,
entitled CHAOS09, will be held at Queen Mary, University of London,
from June 22nd-24th, 2009.
This conference is the second IFAC meeting related to analysis and control
of chaotic systems. It will provide a forum for the presentation of new
developments in the important interdisciplinary fields of chaos control
and synchronization. The research activity in this field is driven by
the needs of different application domains such as: biology (brain dynamics,
heart dynamics), physics (optics, magnetics, fluid dynamics), mechanics,
engineering (non-linear dynamics of electronic and power electronic systems,
chaos encrypted signals), economics, chemical engineering etc. The aim
of the conference is to provide the communities of control engineering,
physics, economics, biology, fluid dynamics, power electronics, electronic
circuits, etc. with an opportunity to exchange information and new ideas
and to discuss new developments in the fields of chaos control and synchronization.
Both theory and applications will be discussed.
The conference will cover all topics related to chaos
and synchronization within the framework of control systems theory and
engineering, including (but not limited to) the following.
• Recent advances in control and anti-control of chaotic/complex
systems.
• Recent advances in synchronization (and observer-design) for chaotic/complex
systems.
• Analysis of stability, controllability and observability of chaotic/complex
systems.
• Bifurcations in chaotic/complex systems.
• New applications in chaos control, chaos-encrypted signals, optical
systems, biological systems, power converters, economic systems, etc.
• Nonlinear dynamics of electronic systems.
• Nonlinear time series and identification.
• Hybrid systems and chaos, grazing bifurcations.
• Limit cycles in networks of oscillators.
• Kinematics models of groups of self-propelled particles.
• Synchronization of delay systems, chaotic delay systems.
• Brain dynamics.
• Small world networks.
• Synchronization in biology.
• Chaos/bifurcation control in chemical engineering.
• Chaos/bifurcation control in physics
• Experimental chaos and synchronization.
• Bridging the gap between ergodic and deterministic approaches.
• Providing a discussion forum for the physics, chaos and control
system communities.
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