Model-Varying Predictive Control of a Nonlinear System
C. Pedret, A. Poncet, K. Stadler, A. Toller, A.H. Glattfelder, A. Bemporad,
Abstract. Model Predictive Control (MPC) can be used for nonlinear
systems if they are working around an operating point. If the operating
point is moved away from the nominal working point the controller is less
effective due to model mismatch. This situation can be tackled by using
a Model-Varying Predictive Controller (MVPC), which changes its internal
model, switching among a set of liner models, according to the working
Key words. Nonlinear systems, Steam turbine, Model Predictive
Registration: PIRDI-1/00, January 2000.
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