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The engineer in practice is often confronted with the question of how to optimal accomplish start-ups, load shifts or the control of a plant. The mathematic formulation of these problems result in a dynamic optimization problem which consists of the process model (DAE system), inequality and equality constraints and a objective function.
The method of the full discretization transforms this continuous problem into a NLP Optimization problem, a (large-scale) set of algebraic equations which can be solved by powerful (commercially or freely available) NLP solvers. This transformation of the problem is automatically done by the software tool OCOMA which is called by the OptControlCentre.
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