Results 81 to 90 of about 1,367 (181)
Sparse Neural Dynamics Modeling for NMPC-Based UAV Trajectory Tracking
AerospaceAccurate and computationally efficient trajectory tracking remains a critical challenge for unmanned aerial vehicles (UAVs), particularly when nonlinear model predictive control (NMPC) is combined with learning-based dynamics models that introduce ...
Xinyuan Qiu, Changxuan Liu, Jun Li
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DronesThis article studies a nonlinear model predictive control (NMPC) scheme for the trajectory tracking efficiency of a quadcopter UAV. A cost function is first proposed that incorporates weighted increments of control forces in each direction, followed by a
Hongyue Ma +3 more
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IEEE Open Journal of the Industrial Electronics SocietyThis study presents the design of a nonlinear model-predictive controller (NMPC) for a fixed-wing uncrewed aerial vehicle (UAV) to circumnavigate a ground target. First, a nonlinear 3-D target tracking system model is presented.
Ignacio J. Torres +2 more
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工程科学学报Thickeners are critical components in mineral processing and hydrometallurgical circuits. Their operational performance directly determines the production efficiency and resource recovery rates.
Yifan WU +3 more
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IEEE AccessQuadrotor control in dynamic and unstructured environments requires robust and adaptive solutions to achieve agile and autonomous navigation. Nonlinear Model Predictive Control (NMPC) offers precise control through a nonlinear dynamical system model and ...
Oualid Doukhi, Deok-Jin Lee
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, 2021 The model predictive control technique was first put forward as an industry. This technique was invented by different people who work study independently, Cutler- Ramaker who worked at Shell Oil and Richalet etc. worked at Adersa. After some symposium, which was organized by Shell Oil, about model predictive control was noticed by the this field.
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Influence mechanism and elimination method of signal time delay on NMPC-based path tracking systems
工程科学学报The control systems of mobile robots and unmanned vehicles are typical examples of time-delay systems. Time delays in these systems primarily stem from the signal transmission process. After a control signal is generated by the controller, it must travel
Guoxing BAI +5 more
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Journal of Marine Science and EngineeringTo address the issues of path tracking accuracy and control stability in autonomous ship berthing, an improved algorithm combining nonlinear model predictive control (NMPC) and convolutional neural networks (CNNs) is proposed in this paper.
Chunyu Song, Xiaomin Guo, Jianghua Sui
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Ultra-Fast Nonlinear Model Predictive Control for Motion Control of Autonomous Light Motor Vehicles
World Electric Vehicle JournalAdvanced Driver Assistance System (ADAS) is the latest buzzword in the automotive industry aimed at reducing human errors and enhancing safety. In ADAS systems, the choice of control strategy is not straightforward due to the highly complex nonlinear ...
Vaishali Patne +6 more
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EnergiesThe energy consumed by thermal management systems strongly affects the driving range of battery electric vehicles. In this study, we develop an integrated control strategy that couples the Sparrow Search Algorithm (SSA) with Nonlinear Model Predictive ...
Guangyu Yang +4 more
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