Abstract: The invention relates to a method for automatic regulation of a system in which a plurality of parameters characteristic of the system are measured and in which at least one control parameter (u) is applied as a function of the measured parameters (y). The method includes choosing a nominal operating point of the system, and defining a nominal model (Mn) of the system at this nominal operating point is determined, and estimated characteristic output parameters (yr) corresponding to measurable characteristic parameters (y) are determined from said nominal model.

Abstract: The invention relates to a method for automatic regulation of a system in which a plurality of parameters characteristic of the system are measured and in which at least one control parameter (u) is applied as a function of the measured parameters (y). The method includes choosing a nominal operating point of the system, and defining a nominal model (Mn) of the system at this nominal operating point. The method further includes determining a set of representative models ([Mk]) of the possible variations relative to the nominal model (Mn) and parameterizing the error of the nominal model (Mn) of the system by decomposition ([?ik]) over all the errors between the models of the set of models ([Mk]) representative of the possible variations and the nominal model (Mn). The method also includes minimizing a given optimization criterion (J) by varying at least one of the previously obtained parameters ([?ik]) of the error (?) relative to the nominal model (M) of the system.

Abstract: The invention relates to a method for automatic regulation of a system in which a plurality of parameters characteristic of the system are measured and in which at least one control parameter (u) is applied as a function of the measured parameters (y). The method includes choosing a nominal operating point of the system, and defining a nominal model (Mn) of the system at this nominal operating point. The method further includes determining a set of representative models ([Mk]) of the possible variations relative to the nominal model (Mn) and parameterizing the error of the nominal model (Mn) of the system by decomposition ([?ik]d) over all the errors between the models of the set of models ([Mk]) representative of the possible variations and the nominal model (Mn). The method also includes minimizing a given optimization criterion (J) by varying at least one of the previously obtained parameters ([?ik]) of the error (?) relative to the nominal model (M) of the system.

Abstract: The invention relates to a method for automatic regulation of a system in which a plurality of parameters characteristic of the system are measured and in which at least one control parameter (u) is applied as a function of the measured parameters (y). The method includes choosing a nominal operating point of the system, and defining a nominal model (Mn) of the system at this nominal operating point is determined, and estimated characteristic output parameters (yr) corresponding to measurable characteristic parameters (y) are determined from said nominal model.

Abstract: A device for compensating a vibration force uses four rotating weights with parallel rotation axes. The four weights are located in a common plane P and symmetrical in pairs relative to a plane perpendicular to the plane P and passing through the line of action of the vibrational force F to be compensated. The weights of each pair rotate in opposite directions. A device for compensating a vibrational torque uses four rotating weights with rotation axes parallel to an axis D and symmetrical in pairs relative to the axis D. The weights of each pair rotate in the same direction. A real time control device includes a constant gain non-linear self-adapting Kalman filter.