Titlebook: Recent Advances in Model Predictive Control; Theory, Algorithms, Timm Faulwasser,Matthias A. Müller,Karl Worthmann Book 2021 The Editor(s)

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Lecture Notes in Control and Information Scienceshttp://image.papertrans.cn/r/image/822890.jpg

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Dissipativity in Economic Model Predictive Control: Beyond Steady-State Optimality, and discusses their decisive role in this context. In particular, besides the well-studied case where steady-state operation is optimal, we also cover the cases of optimal periodic operation and more general optimal operating conditions. Furthermore, we discuss the computation of storage functions and extensions to time-varying settings.

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Predictive Path Following Control Without Terminal Constraints, prediction horizon is sufficiently long. Further, the proposed methodology allows to quantify a stabilizing prediction horizon. We illustrate our findings considering a robotic manipulator example. We explicitly verify cost controllability and conduct numerical experiments.

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