Articles
DYNAMIC OPTIMAL CONTROL OF PLANT PRODUCTION
Article number
248_27
Pages
223 – 242
Language
Abstract
This paper delineates the principles for obtaining optimal control policies based on dynamic plant growth models.
It starts with a brief outline of the structure of decision problems and the resulting requirements for models designed to support these decisions.
The concepts of open loop, closed loop and adaptive control are discussed next.
Emphasis is then placed on the methods for solving the control problem.
Three basic frameworks are considered including the Maximum Principle, Dynamic Programming and the use of numerical optimization methods.
The paper outlines the principle structure of these approaches and addresses their strengths and weaknesses.
It concludes with a discussion of our own experience with the application of numerical optimization methods.
Some results demonstrate how the algorithms work and lead to conclusions with respect to their applicability for research purposes and practical decision-making.
It starts with a brief outline of the structure of decision problems and the resulting requirements for models designed to support these decisions.
The concepts of open loop, closed loop and adaptive control are discussed next.
Emphasis is then placed on the methods for solving the control problem.
Three basic frameworks are considered including the Maximum Principle, Dynamic Programming and the use of numerical optimization methods.
The paper outlines the principle structure of these approaches and addresses their strengths and weaknesses.
It concludes with a discussion of our own experience with the application of numerical optimization methods.
Some results demonstrate how the algorithms work and lead to conclusions with respect to their applicability for research purposes and practical decision-making.
Authors
E. Berg, W. Lentz
Keywords
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