A class of recurrent neural networks is proposed and proven to be capable of identifying any discrete-time dynamical system. The application of the proposed network is addressed in...
Nowadays, every industry's goal is to improve their manufacturingprocesses and to increase their cadence of production, in order to be competitive. This goal usually implies ...
Interrupts are important aspects of real-time embedded systems to handle events in time. When there exist nested interrupts in a real-time system, and an urgent interrupt is allow...
Stuttering bisimulation is a well-known behavioural equivalence that preserves CTL-X, namely CTL without the next-time operator X. Correspondingly, the stuttering simulation preord...
Symbolic rewriting systems are gaining interest as tools for simulating biochemical dynamics. Compared to traditional methods based on differential equations, the symbolic approac...