Stochastic and Nonlinear Dynamics in Complex Systems
With the development of science and technique, complex systems have gained increasing interests in many areas of natural science, mathematics, and social science, such as geophysics, earthquake prediction, astrophysics, meteorology, civil engineering, large and complex equipment, national defense, sociology, economics, finance, biology, neuroscience, psychology, biomedical engineering, ergonomic, computer science, physics, chemistry, and so on. The properties of complex systems may be of one of the two forms: disorganized complexity and organized complexity. The study of complex systems derives from statistical physics, information theory and nonlinear dynamics in order to represent organized but unpredictable behaviors of systems. The goal of this mini-symposium is to provide a communication platform for international researchers to exhibit their scientific research and technical innovation on complex systems. The topics include but are not limited to: Statistical methods, Stochastic mechanics, Equilibrium and Non-Equilibrium Statistical Mechanics, Nonlinear dynamics methods, Nonlinear time series analysis methods, Theory of chaos and fractals, Self-Organization Criticality and Phase Transition Theory, Dynamical Behavior of Complex System, Earthquake prediction research, Macroeconomic analysis, Financial analysis, Risk management and insurance, biology, Bio-signal processing, Condition monitoring, fault diagnosis, and intelligent maintenance system.