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In the standard model predictive control implementation, first a steady-state optimization yields the equilibrium point with minimal economic cost. Then, the deviation from the computed best steady state is chosen as the stage cost for the dynamic regulation problem. The computed best equilibrium point may not be the global minimum of the economic cost, and(More)
Bioreactor systems involve complex biochemical reactions, which make the systems highly non-linear in nature. Developing model based controllers for such processes require mathematical representations, which are simple, yet capable of capturing the non-linear process characteristics. Continuous bioreactor falls under the class of non-linear systems that(More)
This paper focuses on the application of a nonlinear model predictive control (MPC) method to coal-based integrated gasification combined cycle (IGCC) plants with water gas shift membrane reactors (WGS-MR) for pre-combustion capture of CO2. A systems-level nonlinear model of the integrated IGCC-MR process is introduced. The simulation results for a(More)
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