Managerial Planning: An Optimum and Stochastic Control Approach

C. S. Tapiero

doi:10.1109/TAC.1979.1102197

Managerial Planning: An Optimum and Stochastic Control Approach

C. S. Tapiero

Finance and Risk Engineering

Research output: Contribution to journal › Article › peer-review

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 language	English (US)
Pages (from-to)	993
Number of pages	1
Journal	IEEE Transactions on Automatic Control
Volume	24
Issue number	6
DOIs	https://doi.org/10.1109/TAC.1979.1102197
State	Published - Dec 1979

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/TAC.1979.1102197

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AB - 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.

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Managerial Planning: An Optimum and Stochastic Control Approach

Abstract

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