Abstract
Nonlinear and linear model-based control (MBC) strategies including process model-based control (PMBC), model predictive control (MPC), internal model control (IMC), and advanced conventional control (ACC) have been experimentally compared for flow, temperature, pressure, and composition control. The test systems have nonlinear characteristics and include a pilot scale fluid flow and heat exchanger system, a commercial plasma reactor, and a laboratory scale distillation column. The evaluation criteria includes the effort required for model development and implementation, as well as conventional measures of controlled and manipulated variable activity.
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