In this paper, a new class of Boolean networks, called Stochastic Boolean Networks, is
presented. These systems combine some features of the classical deterministic Boolean …

Among the various phenomena that can be modeled by Boolean networks, ie, discrete-time
dynamical systems with binary state variables, gene regulatory interactions are especially …

In this paper, a novel algorithm to perform robust stochastic simulations of chemical reaction
networks is proposed. Such a procedure relies on the definition of a stochastic difference …

In this paper, multi‐input multi‐output Boolean control networks are considered as
polynomial discrete‐time systems in the Galois field. Two algorithms are proposed to design …

We develop a system for generating embedded diagnostics from an ODE model that can
isolate faults given the memory and processing limitations of the embedded processor. This …