Abstract. We describe mcmt, a fully declarative and deductive symbolic model checker for safety properties of infinite state systems whose state variables are arrays. Theories spec...
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....
Abstract—Learning dynamical systems is one of the important problems in many fields. In this paper, we present an algorithm for learning non-linear dynamical systems which works...
Abstract. Symbolic model checking provides partially effective verification procedures that can handle systems with an infinite state space. So-called “acceleration techniques...
In this paper we show that incrementally stable nonlinear time–delay systems admit symbolic models which are approximately equivalent, in the sense of approximate bisimulation, ...
Giordano Pola, Pierdomenico Pepe, Maria Domenica D...