Trajectory optimization to minimize fuel usage for positioning guide by a nonlinear model predictive control for underwater robots

OID Bashi, SM Jameel, AH Sabry - Ocean Engineering, 2024 - Elsevier
Robotics uses model predictive control (MPC) methods frequently because they ensure
viability and enable the computation of revised trajectories while the robot is in motion …

A machine learning-based model predictive control method for pumped storage systems

Q Cai, X Luo, C Gao, P Guo, S Sun, S Yan… - Frontiers in Energy …, 2021 - frontiersin.org
Integrated systems required for renewable energy use are under development. These
systems impose more stringent control requirements. It is quite challenging to control a …

An improved approach for robust MPC tuning based on machine learning

N He, M Zhang, R Li - Mathematical Problems in Engineering, 2021 - Wiley Online Library
A robust tuning method based on an artificial neural network for model predictive control
(MPC) of industrial systems with parametric uncertainties is put forward in this work. Firstly …

Hardware-in-the-loop Simulation Testbed for Geomagnetic Navigation

S Yang, S Zhang, Q Zhang, X Zhang, X Ma - arxiv preprint arxiv …, 2024 - arxiv.org
Geomagnetic navigation leverages the ubiquitous Earth's magnetic signals to navigate
missions, without dependence on GPS services or pre-stored geographic maps. It has …

Model Predictive Control Method with Constant Switching Frequency to Reduce Common‐Mode Voltage for PMSM Drives

H Li, S Chen, X Wu, G Tan - Journal of Electrical and Computer …, 2018 - Wiley Online Library
A model predictive control method to reduce the common‐mode voltage (MPC‐RCMV) with
constant switching frequency for PMSM drives is proposed in this paper. Four nonzero VVs …