We present a two-step method for identifying SISO Hammerstein systems. First, using a persistent input with retrospective cost optimization, we estimate a parametric model of the l...
Anthony M. D'Amato, Kenny S. Mitchell, Bruno Ot&aa...
Stochastic Flow Models (SFMs) are stochastic ystems that abstract the dynamics of complex discrete event systems involving the control of sharable resources. SFMs have been used to...
We introduce variant types and a pattern matching operation to synchronous dataflow languages. These languages are used in the design of reactive systems. As these systems grow in...
We present two results for computational models that allow error probabilities close to 1/2. First, most computational complexity classes have an analogous class in communication ...
The design of complex systems requires powerful mechanisms for modeling state, concurrent events, and real-time behavior; as well as for visualising and structuring systems in ord...