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Prof. C.K. Michael Tse
Room DE633, Hong Kong Polytechnic University, Hunghom, Kowloon, Hong Kong
Other contacts: Other group members
The group at Lamma island, 15 August 2005
Research in the area of nonlinear circuits and systems began in this department in the early 1990s. The early focus was on power electronics systems, and the coverage has now been extended to general nonlinear dynamical systems. Our main emphases are, moreover, practical applications. Presently, research topics being actively pursued by members in the Applied Nonlinear Circuits and Systems Research Group include power electronics, circuit theory, sliding-mode control applications, chaos-based communications, disease propagation dynamics, time-series analysis and applications to biomedical signal processing, and complex network applications.
In the area of power electronics, the group's main focus has been fundamental research into the analysis and synthesis of switch mode power supplies. In addition to applied power electronics research, the group has a strong interest in the identification of bifurcation behaviour in power electronics and its practical applications. In the field of chaos-based communications, the group's main research interest has been in the analysis of chaos-based modulations and development of noncoherent communication systems. In the area of time series analysis, surrogate data techniques have been the major focus. Finally, applications of complex networks have been actively studied for practical systems such as telephone networks and the Internet.
Active research topics:
Power Electronics Circuits
- New design methodologies
- Power factor correction
- Power supplies for LED lightings
- Making sliding mode control work
- Complex Behavior of Switching Converters
- Bifurcations in power electronics
- Stability analysis
Time Series Modeling and Analysis of Dynamical Systems
- Performance evaluations
- Modulation/demodulation techniques
- Multiple access
Complex Networks Applications
- Surrogate data techniques
- Biomedical signal processing applications
- Finance applications
- Network traffic analysis based on complex networks
- SARS (disease) transmission dynamics
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