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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0170-8643 thereof in different areas.Exhibits a number of challenging .This book focuses on distributed and economic Model Predictive Control (MPC) with applications in different fields. MPC is one of the most successful advanced control methodologies due to the simplicity of the basic idea (measure the curre

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Hybrid Gaussian Process Modeling Applied to Economic Stochastic Model Predictive Control of Batch Phe NMPC and thus ensure joint probabilistic constraint satisfaction online. Advantages of our method include fast online evaluation times, and exploiting the flexibility of GPs and the data efficiency of first principle models. The algorithm is verified on a case study involving a challenging semi-b

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Collision Avoidance for Mobile Robots Based on an Occupancy Grid, the estimation of the trajectory of the other robots, which are discussed in this paper. We demonstrate these approaches in simulations with mobile robots aiming for non-cooperative control and derive additional sufficient conditions to ensure the collision avoidance constraints in the DMPC scheme.