OPTIMAL SYNTHESIS AND DESIGN OF DYNAMIC-SYSTEMS UNDER UNCERTAINTY

A unified process synthesis framework for obtaining process designs an d control systems, which ate economically optimal while being able to cope with process variations, is presented in this paper. Process syst ems are modelled via dynamic mathematical models (DAE's), variations i nclude both uncertain parameters and time-varying disturbances, while control structure selection and controller design is considered as par t of the optimization problem. Robust stability criteria are also incl uded within the synthesis scheme so as to maintain desired dynamic cha racteristics. An efficient decomposition algorithm for the solution of the resulting mixed-integer stochastic optimal control problem is out lined and demonstrated with a ternary distillation example.