A5021070193- Traffic control and management
- Adaptive Dynamic Programming Control
- Vehicle Dynamics and Control Systems
- Vehicle emissions and performance
- Traffic Prediction and Management Techniques
- Concrete Properties and Behavior
- Autonomous Vehicle Technology and Safety
- Hydraulic and Pneumatic Systems
- Vibration Control and Rheological Fluids
- Electric Vehicles and Infrastructure
University of Transport and Communications
2023
Feng Chia University
2016-2022
In this paper, an adaptive neuro-fuzzy predictor-based control (ANFPC) approach with integrated automotive radar and vehicle-to-vehicle (V2V) communication for the design of cooperative cruise (CACC) system is presented, which concerns not only safety riding comfort a vehicle but also enhances its fuel efficiency. This paper consists two main parts: preceding state estimation following controller. First, prospective information vehicle, such as position, velocity, acceleration, can be...
This paper presents a reinforcement learning backstepping-based control scheme for the design of full vehicle active suspension system such that both superior ride comfort and stabilization are achieved. It is well known traditional backstepping suitable to solve higher order nonlinear based on strict-feedback form; however, disadvantage procedure requires computing derivatives virtual signals, which very complex task. Therefore, using deep deterministic policy gradient (DDPG) strategy...
Rapid growth in economies and a sharp increase the present quantity of vehicles have contributed to congested cities, traffic accidents, energy crises air pollution, which not only cause serious economic damage but also affect human life safety. According Kyoto Protocol international standards consensus, trend automotive industry is develop more ecological order reduce fuel consumption pollution. Recently, number modern premium cars been equipped with advanced driver assistance systems...
Proliferation of the number vehicles is one main causes traffic congestion, accidents, energy waste and environmental pollution. Recently, several intelligent applications are equipped in modern such as advanced driver assistance systems (ADAS), especially an adaptive cruise control (ACC) system which was successfully implemented on some luxury cars still remains to be interesting topic research. An neuro-fuzzy predictive (ANFPC) proposed designing ACC this paper. By controlling vehicle...
This paper presents an adaptive prediction-based control scheme for developing ecological cruise (ECC) system when simultaneous running on the roads with continuous curves and up-down slopes, which aims to guarantee driving safety, riding comfort of a vehicle enhance its fuel efficiency as well. study is mainly divided into two parts: longitudinal speed lateral stability control. Firstly, based GPS data, topographical information, consumption model, prediction approximate dynamic programming...
Concrete structures are prone to cracking due non-uniform temperature distribution caused by the heat released during cement hydration. Accurate prediction of evolution is crucial for design and control concrete in construction. This paper presents development a 3-dimensional (3-D) finite difference (FD) model predicting thermal behavior early-age hardening stage. The proposed was verified against measurements from two elements, showing good accuracy evolution. sensitivity analysis on...