Abstract
In this chapter, various Lyapunov-based economic model predictive control (LEMPC) designs are developed, which are capable of optimizing closed-loop performance with respect to general economic considerations for nonlinear systems. Numerous issues arising in the context of chemical process control are considered including closed-loop stability, robustness, closed-loop performance, asynchronous and delayed sampling, and explicitly time-varying economic cost functions. Closed-loop stability, in the sense of boundedness of the closed-loop state, under the LEMPC designs is analyzed. Additionally, when desirable, the LEMPC designs may be used to enforce convergence of the closed-loop state to steady-state. Under a specific terminal constraint design, the closed-loop system under the resulting LEMPC scheme is shown to achieve at least as good closed-loop performance as that achieved under an explicit stabilizing controller. The LEMPC approaches are demonstrated with chemical process examples.
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Ellis, M., Liu, J., Christofides, P.D. (2017). Lyapunov-Based EMPC: Closed-Loop Stability, Robustness, and Performance. In: Economic Model Predictive Control. Advances in Industrial Control. Springer, Cham. https://doi.org/10.1007/978-3-319-41108-8_4
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DOI: https://doi.org/10.1007/978-3-319-41108-8_4
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