Simultaneous Design and Control of the Tennessee Eastman Process

Abstract This paper presents a large-scale application of a new approach to simultaneously design and control chemical processes that does not require dynamic programming and a priori assumptions of the disturbance dynamics. The process closed-loop behavior is represented as a state space uncertain model. The robust models are then used to calculate infinite-time horizon bounds on the process stability, worst-case variability and process constraints using a Singular Structured Value (SSV) approach. The proposed methodology was used to simultaneously design and control the Tennessee Eastman Process.