Latin Abstract :
A new approach called feasible output radius analysis for linear or linearised models is introduced to address the problem of scaling
dependency. This problem arises when assessing the effect of manipulated variable constraints (MVCs) on the closed-loop performance
of chemical processes prior to carrying out control designs. The new indicators, R and R can be used to rank alternative control
schemes on the basis that the larger _R and R, the better the closed-loop performance in the presence of control constraints. These
indicators are determined from extending the concept of the ʹfeasible output amplitude regionʹ and are independent of the input
scaling chosen. Theoretical analysis shows that this method is an extension of the more traditional singular value analysis approach
and is more flexible in dealing with various kinds of manipulated variable constraints. A case study, i.e. a two-CSTR process, is
investigated using the new method. Via the case study, some superior characteristics of the new technique are demonstrated, such
as ease of calculation, and flexibility in coping with different kinds of constraints.
