Computationally Efficient Globally Linearizing Control of a CSTR using Nonlinear Black Box Models

The main objective of this work is to develop computationally efficient Global linearization based control (GLC) schemes, which are suitable for control of nonlinear processes with fast dynamics. Models used for the controller synthesis are discrete time block oriented nonlinear black box state space models identi=ed directly from the input-output perturbation data. The chosen model structures facilitate construction of closed form solutions to the unconstrained GLC formulations. The efficacy of the proposed control formulations is evaluated by conducting simulation studies on a benchmark continuously stirred tank reactor (CSTR) system which exhibits input multiplicity behavior. Analysis of the simulation results reveals that the proposed GLC formulations are able to achieve a signi=cant reduction in the average computation time without compromising on the closed loop performance.