Note: This content is accessible to all versions of every browser. However, this browser does not seem to support current Web standards, preventing the display of our site's design details.


John Lygeros is coorganiser of the 47th IEEE Conference on Decision and Control pre-conference workshop

Engineering systems like communication networks or automotive and air traffic control systems, financial and industrial processes like market and manufacturing models, and natural systems like biological and ecological environments exhibit compound behaviors arising from the compositions and interactions between their heterogeneous components. Hybrid Systems are mathematical models that are by definition suitable to describe such complex systems. The effect of the uncertainty on the discrete and continuous dynamics---both endogenously and exogenously to the system---is virtually unquestionable for biological systems and often inevitable for engineering systems, and naturally leads to the employment of stochastic hybrid models. Stochastic Hybrid Systems are then probabilistic models suitable at describing the dynamics of variables presenting interleaved and interacting continuous and discrete components.

Further Information

Dec 08, 2008   
Contact Person:

John Lygeros