Forecast of functional state of object under conditions of behavior uncertainty

The relevance of the task of developing methods for forecasting the condition of the tracking object is shown, since the results of its solution affect the quality of its functioning as a whole. A method for forecasting the functional state of an escort object in conditions of behavioral uncertainty is presented, based on a gradient descent in the space of functional states.