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TC 1.4. Stochastic Systems

Stochastic Systems is an area of systems theory that deals with dynamic as well as static systems, whose processes are characterized by probability distributions or spectral measures. Stochastic Systems arise in various disciplines within engineering and science, such as control, communications and networks, signal processing, biology and finance. Many of the models employed within the framework of stochastic systems originated in an attempt to quantify in a rigorous way the treatment of probabilistic modelling and inference, random dynamical systems, and information; they often build on the axiomatic approach to probability of Kolmogorov, the random noise model of Wiener and the information measure of Shannon.

Welcome Message from the Chair

If you are a researcher and your interests include Stochastic Systems, then this Technical Committee is for you...

If you are a practitioner working with control, communications and networks, signal processing, biology and finance then Stochastic Systems modelling, analysis and design are probably the reality you deal with every day...

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