Search for dissertations about: "distributed model predictive control"
Showing result 1 - 5 of 27 swedish dissertations containing the words distributed model predictive control.
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1. Control over the Cloud : Offloading, Elastic Computing, and Predictive Control
Abstract : The thesis studies the use of cloud native software and platforms to implement critical closed loop control. It considers technologies that provide low latency and reliable wireless communication, in terms of edge clouds and massive MIMO, but also approaches industrial IoT and the services of a distributed cloud, as an extension of commercial-of-the-shelf software and systems. READ MORE
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2. Look-ahead control for fuel-efficient and safe heavy-duty vehicle platooning
Abstract : The operation of heavy-duty vehicles at small inter-vehicular distances, known as platoons, lowers the aerodynamic drag and, therefore, reduces fuel consumption and greenhouse gas emissions. Tests conducted on flat roads have shown the potential of platooning to reduce the fuel consumption of about 10%. READ MORE
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3. Structure exploiting optimization methods for model predictive control
Abstract : This thesis considers optimization methods for Model Predictive Control (MPC). MPC is the preferred control technique in a growing set of applications due to its flexibility and to the natural way in which constraints can be incorporated in the control policy. READ MORE
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4. Gradient-Based Distributed Model Predictive Control
Abstract : The thesis covers different topics related to model predictive control (MPC) and particularly distributed model predictive control (DMPC). One topic of the thesis is gradient-based optimization algorithms for solving the optimization problem arising in DMPC in a distributed manner. READ MORE
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5. Distributed Control for Spatio-Temporally Constrained Systems
Abstract : In this thesis, we develop methods leading towards the distributed control of spatio-temporally constrained systems. Overall, we focus on two different approaches: a model predictive control approach and an approach based on ensuring set-invariance via control barrier functions. READ MORE