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The objective of this research is to demonstrate that improved control of nonlinear systems can be achieved in highly nonlinear operability regions when a periodically adapted nonlinear model is used in a nonlinear model predictive control (NMPC) strategy. In this paper, we develop a robust and efficient on-line parameter estimation scheme capable of adapting the nonlinear model for implementation...
Most studies on the control of fixed-bed reactors have focused on dealing with small perturbations about the steady-state inlet conditions. However, little attention has been given to the problem of controlling a reactor subject to large inlet disturbances. Adaptive control offers one possible solution to this problem. This paper discusses application of the Generalized Predictive Controller to a...
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