Coping with model-reality differences in industrial process optimisation — A review of integrated system optimisation and parameter estimation ( isope)

Abstract

The paper reviews the development of Integrated System Optimisation and Parameter Estimation, isope, as a technique for on-line steady-state optimisation of large scale industrial processes. An important property of the technique is that it achieves the correct real process optimum operating point in spite of inevitable errors in the mathematical model employed in the computations. The paper also gives theoretical foundations of a hierarchical steady-state optimising control procedure using isope which has proven to be useful in practical application. Finally, the extension of isope to the solution of dynamic optimal control problems is discussed, giving rise to disope (Dynamic Integrated System Optimisation and Parameter Estimation).