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Model predictive control design for linear parameter varying systems: A survey
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 …
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
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 …
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
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 …
motor (PMSHM) drive using the state feedback control method plus the gray wolf …
Near-optimal control of nonlinear dynamical systems: A brief survey
For nonlinear dynamical systems, an optimal control problem generally requires solving a
partial differential equation called the Hamilton–Jacobi–Bellman equation, the analytical …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
very useful for energy optimization. SOC (state of charge) of power battery is the most …