Results 11 to 20 of about 248,906 (193)

Non-linear model predictive control with adaptive time-mesh refinement [PDF]

open access: yes2018 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR), 2018
In: 2018 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR 2018)
Potena ciro   +4 more
openaire   +4 more sources

Energy Management of Refrigeration Systems with Thermal Energy Storage Based on Non-Linear Model Predictive Control [PDF]

open access: yesMathematics, 2022
This work addresses the energy management of a combined system consisting of a refrigeration cycle and a thermal energy storage tank based on phase change materials.
Guillermo Bejarano   +4 more
doaj   +2 more sources

Explicit non-linear model predictive control for autonomous helicopters [PDF]

open access: yesProceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2011
Trajectory tracking is a basic function required for autonomous helicopters, but it also poses challenges to control design due to the complexity of helicopter dynamics. This article introduces an explicit model predictive control (MPC) to solve this problem, which inherits the advantages of non-linear MPC but eliminates time-consuming online ...
C Liu, W-H Chen, J Andrews
openaire   +3 more sources

Automotive applications of explicit non-linear model predictive control

open access: yes, 2020
This thesis presents automotive applications of explicit non-linear model predictive control. Model predictive control is a state-of-the-art control methodology that allows for systematic incorporation of physical and operational constraints in the control system design.
Metzler, M.
openaire   +4 more sources

Optimal EPO dosing in hemodialysis patients using a non-linear model predictive control approach. [PDF]

open access: yesJ Math Biol, 2019
Anemia management with erythropoiesis stimulating agents is a challenging task in hemodialysis patients since their response to treatment varies highly. In general, it is difficult to achieve and maintain the predefined hemoglobin (Hgb) target levels in ...
Rogg S   +4 more
europepmc   +2 more sources

Non-linear model-predictive-control for thermomechanical ring rolling [PDF]

open access: yes, 2019
he authors present a new ring rolling variant that combines a semi-warm forming process of a bearing ring with controlled cooling directly followed by a cold forming process. The aim is to produce near net shape rings with a selected microstructure and high strength without additional consecutive heat treatment.
Brosius, Alexander   +2 more
core   +3 more sources

Non Linear Model Predictive Control Using Constraints Satisfaction

open access: yes, 2003
During the last few years, control schemes using interval analysis have been investigated. Several approaches have been proposed in order to get robust control in presence of model uncertainties [7, 10] or for state estimation [6].
Lydoire, Fabien, Poignet, Philippe
openaire   +3 more sources

Autonomous Docking Method via Non-linear Model Predictive Control

open access: yes2023 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET), 2023
6 pages, 8 figures, 2 ...
Roni Permana Saputra   +3 more
openaire   +2 more sources

Sensitivity-Based Non-Linear Model Predictive Control for Aircraft Descent Operations Subject to Time Constraints

open access: yesAerospace, 2021
The ability to meet a controlled time of arrival while also flying a continuous descent operation will enable environmentally friendly and fuel efficient descent operations while simultaneously maintaining airport throughput.
Ramon Dalmau, Xavier Prats, Brian Baxley
doaj   +1 more source

Model Predictive Control of Non-Linear Systems Using Tensor Flow-Based Models

open access: yesApplied Sciences, 2020
The present paper proposes an approach for the development of a non-linear model-based predictive controller (NMPC) using a non-linear process model based on Artificial Neural Networks (ANNs).
Rómulo Antão   +3 more
doaj   +1 more source

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