Abstract: A non-transitory computer readable medium (26) stores instructions readable and executable by at least one electronic processor (20) to perform a method (200) of performing an analysis on digital information (15) to be analyzed. The method includes receiving a cryptographic key (16): constructing an input dataset, the input dataset including both the digital information to be analyzed and the cryptographic key: performing the analysis on the digital information to be analyzed to generate an analysis result (32) by applying an artificial neural network (ANN) (12) to the input dataset: and outputting the analysis result.

Abstract: A device for digitally controlling a system, operating by discrete time steps, based on an error vector received at each time step, which includes: an estimator determining a homogenous canonical norm value range for a current time step, an error vector of a current time step, an expansion generator matrix, a Lyapunov matrix, lower and upper limits; and a computer that returns a control for the current time step based on the sum between the error vector of the current time step multiplied by a factor of a feedback gain matrix, the homogenous canonical norm value range for a current time step, proportional and derivative coefficients and the expansion generator matrix, and the integral between the first time step and the current time step of a product associating an integral coefficient, the expansion generator matrix, the homogenous canonical norm value range for all the time steps and the error vector.