Abstract
This paper presents a review of recent contributions that unite predictive control approaches with Lyapunov-based control approaches at the implementation level (Hybrid predictive control) and at the design level (Lyapunov-based predictive control) in a way that allows for an explicit characterization of the set of initial conditions starting from where closed-loop stability is guaranteed in the presence of constraints.
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Mhaskar, P., El-Farra, N.H., Christofides, P.D. (2007). Techniques for Uniting Lyapunov-Based and Model Predictive Control. In: Findeisen, R., Allgöwer, F., Biegler, L.T. (eds) Assessment and Future Directions of Nonlinear Model Predictive Control. Lecture Notes in Control and Information Sciences, vol 358. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72699-9_6
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