Dear Editor, This letter addresses the resilient model predictive control (MPC) problems for adaptive cruise (ACC) systems under sensor attacks. In light of vulnerabilities ACC to attacks, an intrusion detection mechanism is proposed at controller side distinguish abnormal data. Then, robust gains are derived design terminal region constraint MPC. Further, improved event-triggered scheme presen...

Model predictive control is the family of controllers, makes the explicit use of model to obtain control signal. The reason for its popularity in industry and academia is its capability of operating without expert intervention for long periods. There are various control design methods based on model predictive control concepts. This paper provides review of the most commonly used methods that h...

Abstract. In order to solve the problems of low path-tracking accuracy, poor safety, and stability intelligent vehicles with variable speeds obstacles on road, a double-layer adaptive model predictive controller (MPC) is designed. A vehicle point mass used in an obstacle avoidance planning controller, safety collision distance established according relationship between improve driving vehicle. ...

Under complex working conditions, vehicle adaptive cruise control (ACC) systems with fixed weight coefficients cannot guarantee good car following performance under all conditions. In order to improve the tracking and comfort of vehicles in different modes, a fuzzy model predictive (Fuzzy-MPC) algorithm is proposed. Based on comprehensive consideration safety, comfort, fuel economy limitations,...

Utilizing Vehicle-to-everything (V2X) communication technologies, vehicle platooning systems are expected to realize a new paradigm of cooperative driving with higher levels traffic safety and efficiency. Connected Autonomous Vehicles (CAVs) need have proper awareness the context. The platoon’s performance will be influenced by strategy. In particular, time-triggered or event-triggered interest...

In order to ensure that safety and reliability of tractor semitrailer combinations (TSCs) on the road, human drivers’ steering decisions need comprehensively consider trajectories states semitrailer. For this purpose, a dual predictive model adaptive switching control decision for directional is proposed. Firstly, multi-point preview algorithm general regression neural network are designed perc...

control of well drilling operations poses a challenging issue to be tackled. the loss of well control could lead to the occurrence of blowout as a severe threat, involving the risk of human lives and environmental and economic consequences. conventional proportional-integral (pi) controller is a common practice in the well control operation. the small existing margin between pore pressure and f...