Estimating the State of Dynamic Systems by Applying the Minimum Principle to the Generalized Work Functional

摘要

The problem of estimating the state of a dynamic system from observation results is solved. Optimizing the controls by the minimum generalized work principle makes it possible to obtain algorithms which require comparatively low computational expenditures. An illustrative example is presented.