Calibration and optimal control for inaccurate predictive models

The problem of managing physical systems is considered. In such systems, there are various parameters: which we can control directly, which we can control indirectly through the first parameters and parameters that act as external disturbances of the system. The values of all variables come to us as sensor measurements, and the sensors, in turn, have measurement errors. In addition to perturbations and errors, there is another fundamental problem: We always know the model of a physical system inaccurately, this may be due to insufficient information or lack of a priori information about the type of model.