Computationally Efficient Nonlinear Model Predictive Control Using the L1 Cost-Function [PDF]
Sensors, 2021 Model Predictive Control (MPC) algorithms typically use the classical L2 cost function, which minimises squared differences of predicted control errors. Such an approach has good numerical properties, but the L1 norm that measures absolute values of the ...
Maciej Ławryńczuk, Robert Nebeluk
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Nonlinear Predictive Control of a Hydropower System Model [PDF]
Entropy, 2015 A six-dimensional nonlinear hydropower system controlled by a nonlinear predictive control method is presented in this paper. In terms of the nonlinear predictive control method; the performance index with terminal penalty function is selected.
Runfan Zhang, Diyi Chen, Xiaoyi Ma
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Learning Nonlinear Dynamics of Flexible Structures for Predictive Control Using Gaussian Process NARX Models [PDF]
BiomimeticsBiological systems regulate motion and suppress unwanted vibrations through learning, adaptation, and predictive control under uncertainty. Inspired by these principles, Bayesian system identification has emerged as a powerful framework for modeling and ...
Nasser Ayidh Alqahtani
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Statistical Machine Learning in Model Predictive Control of Nonlinear Processes
Mathematics, 2021 Recurrent neural networks (RNNs) have been widely used to model nonlinear dynamic systems using time-series data. While the training error of neural networks can be rendered sufficiently small in many cases, there is a lack of a general framework to ...
Zhe Wu +3 more
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Path Tracking of Mining Vehicles Based on Nonlinear Model Predictive Control
Applied Sciences, 2019 Path tracking of mining vehicles plays a significant role in reducing the working time of operators in the underground environment. Because the existing path tracking control of mining vehicles, based on model predictive control, is not very effective ...
Guoxing Bai +5 more
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Efficient Nonlinear Model Predictive Control of Automated Vehicles
Mathematics, 2022 In this paper, an efficient model predictive control (MPC) of velocity tracking of automated vehicles is proposed, in which a reference signal is given a priori.
Shuyou Yu +5 more
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Nonlinear Model Predictive Control of Wine Fermentation Kinetics
Engineering Proceedings, 2023 Most wine fermentations are completed in successive batches during a 2 month harvest period. Red wine fermentations are usually completed in 10 to 14 days, while white wine fermentations are completed in 21 to 24 days. The demand for resources—equipment,
James Nelson +2 more
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Efficient MPC algorithms with variable trajectories of parameters weighting predicted control errors [PDF]
Archives of Control Sciences, 2020 Model predictive control (MPC) algorithms brought increase of the control system performance in many applications thanks to relatively easily solving issues that are hard to solve without these algorithms.
Robert, Nebeluk, Piotr, Marusak
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Non-linear Model Predictive Control for Smart Heating of Buildings [PDF]
E3S Web of Conferences, 2021 Smart and flexible operation of components in district heating systems can play a crucial role in integrating larger shares of renewable energy sources in energy systems.
Thilker Christian Ankerstjerne +5 more
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Steam Turbine Rotor Stress Control through Nonlinear Model Predictive Control
Energies, 2021 The current flexibility of the energy market requires operating steam turbines that have challenging operation requirements such as variable steam conditions and higher number of startups.
Stefano Dettori +6 more
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