Model predictive control design for linear parameter varying systems: A survey

MM Morato, JE Normey-Rico, O Sename - Annual Reviews in Control, 2020 - Elsevier
Motivated by the fact that many nonlinear plants can be represented through Linear
Parameter Varying (LPV) embedding, and being this framework very popular for control …

Model predictive control of three-axis gimbal system mounted on UAV for real-time target tracking under external disturbances

A Altan, R Hacıoğlu - Mechanical Systems and Signal Processing, 2020 - Elsevier
Abstract The fact that Unmanned Aerial Vehicles (UAVs) move in a specific path and that the
camera in the gimbal system mounted on the UAV adhere to the right target attracts the …

State feedback control for a PM hub motor based on gray wolf optimization algorithm

X Sun, C Hu, G Lei, Y Guo, J Zhu - IEEE Transactions on Power …, 2019 - ieeexplore.ieee.org
This paper presents an optimal control strategy for a permanent-magnet synchronous hub
motor (PMSHM) drive using the state feedback control method plus the gray wolf …

Near-optimal control of nonlinear dynamical systems: A brief survey

Y Zhang, S Li, L Liao - Annual Reviews in Control, 2019 - Elsevier
For nonlinear dynamical systems, an optimal control problem generally requires solving a
partial differential equation called the Hamilton–Jacobi–Bellman equation, the analytical …

Torque optimization control for electric vehicles with four in-wheel motors equipped with regenerative braking system

W Xu, H Chen, H Zhao, B Ren - Mechatronics, 2019 - Elsevier
This paper presents a novel braking torque distribution strategy for electric vehicles with four
in-wheel motors equipped with the regenerative braking system. Safety and regeneration …

Effective nonlinear model predictive control scheme tuned by improved NN for robotic manipulators

M Elsisi, K Mahmoud, M Lehtonen… - IEEE Access, 2021 - ieeexplore.ieee.org
The nonlinearities of the robotic manipulators and the uncertainties of their parameters
represent big challenges against the controller design. Moreover, the tracking of regular and …

Multiobjective optimization of lane-changing strategy for intelligent vehicles in complex driving environments

J Zhou, H Zheng, J Wang, Y Wang… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This paper describes an optimal lane-changing strategy for intelligent vehicles under the
constraints of collision avoidance in complex driving environments. The key technique is …

Distributed model predictive load frequency control of the multi-area power system after deregulation

M Ma, C Zhang, X Liu, H Chen - IEEE transactions on Industrial …, 2016 - ieeexplore.ieee.org
This paper proposes a distributed model predictive control scheme for the load frequency
control (LFC) problem of the deregulated multi-area interconnected power system with …

Nonlinear model predictive lateral stability control of active chassis for intelligent vehicles and its FPGA implementation

H Guo, F Liu, F Xu, H Chen, D Cao… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The rapid development of intelligent vehicles has paved the way for active chassis lateral
stability, which is a novel issue and critical to vehicle stability and handling performance. To …

State-of-charge-constraint-based energy management strategy of plug-in hybrid electric vehicle with bus route

H Guo, X Wang, L Li - Energy Conversion and Management, 2019 - Elsevier
For the plug-in hybrid electric vehicle (PHEV) with repeated routes, the route information is
very useful for energy optimization. SOC (state of charge) of power battery is the most …