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Bayes and minimax controllers for a linear system with stochastic jump parameters

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2 Author(s)
Pierce, B. ; University of Southern California, Los Angeles, CA, USA ; Sworder, D.

A procedure is given for determining an optimal zero-memory regulator for a linear stochastic plant with an incomplete probabilistic description. For situations in which the initial ambiguity is modeled probabilistically, the equations characterizing the appropriate Bayes control are derived. If no prior distribution is available, a minimax controller is sought and an algorithm for obtaining it is described.

Published in:

Automatic Control, IEEE Transactions on  (Volume:16 ,  Issue: 4 )

Date of Publication:

Aug 1971

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