APPROXIMATE OPTIMAL CONTROL USING SENSITIVITY COEFFICIENTS.
LOUISIANA STATE UNIV BATON ROUGE COLL OF ENGINEERING
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The applications of optimal control theory to actual chemical processes have been based on approximate, low order, linear mathematical models rather than the true process model, which is frequently unknown. The model must be sophisticated enough to fit the process well, yet simple enough so that its parameters can be evaluated without an excessive computational effort. This paper describes a model reference adaptive control strategy using sensitivity coefficients to update the model and optimal control theory to determine the control strategy, which is applied to a stirred chemical reactor. Author
- Industrial Chemistry and Chemical Processing
- Numerical Mathematics
- Operations Research