In Part I, methods of nonstandard analysis are applied to deterministic control theory, extending earlier work of the author. Results established include compactness of relaxed controls, continuity of solution and cost as functions of the controls, and existence of optimal controls. In Part II, the methods are extended to obtain similar results for partially observed stochastic control. Systems considered take the form:dx, = f(t, x, y, u(t, y)) dr+ g(t, x, y, u(t, y)) db,, dy, = f (t, x, y, u(t, y)) dt+ g(t, y) d/~, where the feedback control u depends on information from a digital read-out of the observation process y. The noise in the state equation is controlled along with the drift. Similar methods are applied to a Markov system in the final section. (1980). 49A10, 49A60, 93E20, 03H05.
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