Nonlinear Model Predictive Control

Total results returned: 5

Electric Vehicle Operations

Enhanced Active Safety Through Integrated Autonomous Drifting and Direct Yaw Moment Control via Nonlinear Model Predictive Control

The introduction of active safety systems and advanced driver assistance systems has enhanced the control authority over the vehicle dynamics through specialized actuators, enabling, for instance, independent wheel torque control.

Audience:
Advanced Driver Assistance System Developers, Automobile Manufacturers, Automotive Engineers, Electric Vehicle Drivers
Electric Vehicle Operations

Novel pre-emptive control solutions for V2X connected electric vehicles

V2X technologies will become widespread in the next generation of passenger cars, and enable the development of novel vehicle control functionalities.

Audience:
Connected Vehicle Technologists, Electric Powertrain Researchers, Electric Vehicle Manufacturers, Road Safety Experts, Vehicle Safety Engineers, Vehicle Safety Specialists
Electric Vehicle Operations

On Antilock Braking Systems With Road Preview Through Nonlinear Model Predictive Control

Audience:
Automobile Manufacturers, Automotive Engineers, Autonomous Driving Developers, Control System Designers, Road Safety Experts
Electric Vehicle Operations

On-board electric powertrain control for the compensation of the longitudinal acceleration oscillations caused by road irregularities

The scope of this study is to demonstrate that on-board electric powertrains with torsional dynamics of the half-shafts have the potential for effective compensation, thanks to the road profile preview.

Audience:
Academic Researchers, Advanced Driver Assistance System Developers, Automobile Manufacturers, Automotive Designers, Automotive Engineers, Control System Designers, Electric Powertrain Researchers, Simulation and Modelling Professionals, User Experience Designers
Electric Vehicle Operations

Predictive Anti-Jerk and Traction Control for V2X Connected Electric Vehicles With Central Motor and Open Differential

Audience:
Automotive Engineers, Connected Vehicle Technologists, Electric Vehicle Designers, Intelligent Transport System Providers