Receding Horizon Control for Drinking Water Networks: The Case for Geometric Programming
نویسندگان
چکیده
منابع مشابه
Receding Horizon Differential Dynamic Programming
The control of high-dimensional, continuous, non-linear dynamical systems is a key problem in reinforcement learning and control. Local, trajectory-based methods, using techniques such as Differential Dynamic Programming (DDP), are not directly subject to the curse of dimensionality, but generate only local controllers. In this paper,we introduce Receding Horizon DDP (RH-DDP), an extension to t...
متن کاملReceding Horizon Differential Dynamic Programming
The control of high-dimensional, continuous, non-linear dynamical systems is a key problem in reinforcement learning and control. Local, trajectory-based methods, using techniques such as Differential Dynamic Programming (DDP), are not directly subject to the curse of dimensionality, but generate only local controllers. In this paper,we introduce Receding Horizon DDP (RH-DDP), an extension to t...
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Receding horizon control is used to maximize the productivity of emulsion polymerization processes. The control strategy is adapted for controlling multivariable systems. Two process inputs, the monomer flow rate and the reactor temperature, were manipulated in order to optimize process productivity. The controller performance was validated in the presence of modeling errors. c © 2007 Elsevier ...
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This paper presents a receding horizon controller (RHC) that can be used to design trajectories for an aerial vehicle flying through a three dimensional terrain with obstacles and no-fly zones. To avoid exposure to threats, the paths are chosen to stay as close to the terrain as possible, but the vehicle can choose to pop-up over the obstacles if necessary. The approach is similar to our previo...
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ژورنال
عنوان ژورنال: IEEE Transactions on Control of Network Systems
سال: 2020
ISSN: 2325-5870,2372-2533
DOI: 10.1109/tcns.2020.2964139