Managerial Planning

An Optimum and Stochastic Control Approach

Research output: Contribution to journalArticle

Abstract

Andrew P. Sage (S'56—M'57—SM'65—F'76) received the B.S. degree from The Citadel, Charleston, SC, the M.S. from the Massachusetts Institute of Technology, Cambridge, and the Ph.D. degree from Purdue University, Lafayette, IN, in 1960. He left the Chairmanship of the Department of Electrical Engineering at Southern Methodist University in 1974 to accept the Lawrence R. Quarles Chair in Engineering Science and Systems, University of Virginia, Charlottesville, and became Associate Dean of the School of Engineering and Applied Science. He is author or coauthor of a number of texts and research papers, and has received several awards. His research interests include decision analysis, optimization and estimation theory with applications to decision and control in large-scale systems.

Original languageEnglish (US)
Pages (from-to)993
Number of pages1
JournalIEEE Transactions on Automatic Control
Volume24
Issue number6
DOIs
StatePublished - 1979

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Planning
Decision theory
Electrical engineering
Large scale systems

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Managerial Planning : An Optimum and Stochastic Control Approach. / Tapiero, Charles.

In: IEEE Transactions on Automatic Control, Vol. 24, No. 6, 1979, p. 993.

Research output: Contribution to journalArticle

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