Title:
Adaptive Methodology for Monitoring and Evaluation of Dynamical Systems
Date:
Monday, June 21, 2010 at 2:30 PM – 3:30 PM
Location:
E2 – 393 EITC, Fort Garry Campus, University of Manitoba
Speaker:
Prof. Ivo Bukovsky, PhD
Department of Instrumentation and Control Engineering
Czech Technical University in Prague
Prague, Czech Republic
Abstract:
An adaptive methodology for real-time monitoring and evaluation of high-dimensional dynamic systems with low-dimensional neural architectures will be presented. This sensitivity-scalable and time-scalable methodology introduces new opportunities for short-term as well as long-term monitoring and evaluation of complicated dynamic behavior in a sample-by-sample manner. This methodology can be applied to:
- disturbance and fault detection in highly complicated dynamical patterns;
- visualization and numerical evaluation of repeating patterns in highly chaotic (hyper-chaotic) data;
- sensitive prediction of inter-attractor transitions of hyper-chaotic systems;
- instantaneous and scalable detection of changes of determinism of complicated signals (evaluation of prediction reliability);
- instantaneous detection of changes of level of deterministic chaos in a signal; and
- visualization and monitoring of noise pattern behavior.
The talk will present examples of deterministic chaotic systems, as well as real ECG heart-rate variability.
Speaker Bio:
Dr. Ivo Bukovsky’s major research interests are the development of new neural architectures, adaptive methodologies, and their applications to real dynamical systems. He graduated from Czech Technical University in Prague where he received his Ph.D. in the field of Control and System Engineering in 2007. During his PhD studies, Ivo spent seven months working as a visiting researcher under supervision of Dr. M.M. Gupta at the Intelligent Systems Research Laboratory at the University of Saskatchewan within the frame of the NATO Science Fellowships Award. His Ph.D. thesis on nonconventional neural units and adaptive approach to evaluation of complex systems was recognized by the Verner von Siemens Excellence Award 2007. For six months in 2009, Ivo worked on research and biomedical applications under the Matsumae International Foundation at the Cyberscience Center at the Tohoku University in Japan. Ivo has become IEEE CIS Neural Network Technical committee in 2007 and IEEE CIS Student Activity Subcommittee in 2010.
Cost:
Free, All are welcome.
Contact:
For questions or more information contact Witold Kinsner at 474-6490.
