Steering has more potential than braking to prevent rear-end collisions at higher relative velocities. A path tracking controller based on multi-input multi-output (MIMO) model predictive control (MPC) is proposed enhance the handling performance of autonomous emergency steering in this paper. six-state MIMO bicycle including actuator dynamics and differential used for prediction. Two inputs ar...

Convolutional Neural Networks (CNN) have been successfully applied to autonomous driving tasks, many in an endto-end manner. Previous end-to-end steering control methods take an image or an image sequence as the input and directly predict the steering angle with CNN. Although single task learning on steering angles has reported good performances, the steering angle alone is not sufficient for v...

A study pointed out that the delay time of driver's nervous system has a significant effect on roll stability vehicle. However, existing researches vehicle rollover prevention control rarely consider influence driver factors stability. Aiming at this problem, and path tracking strategy considering in loop is proposed to assist different types drivers. It includes supervisory decision layer exec...

With the widespread informationization in modern warfare, higher requirements are required for monitoring high-value target’s movement state and corresponding attack conditions. Since impact-angle constraint guidance law can improve striking effect of a missile, study hitting conditions angle range has become particularly important. This paper proposes relationship between missile’s line-of-sig...

Development of vehicle active steering collision avoidance systems calls for mathematical models capable of predicting a human driver’s response so as to reduce the cost involved in field tests whilst accelerate product development. This article provides a discussion on the paradigms that may be used for modelling a driver’s steering interaction with vehicle collision avoidance control in path-...

An AFS (active front steering) on the basic of a C-EPS (column electric power steering) system was developed. Based on the mathematical model of essential components, the AFS controller was designed covering two units: an EPS actuator unit was used to reduce the steering torque requirement to the driver; an AFS actuator unit was used to compensate the steering angle for steering characteristics...

Conventional blind beamforming algorithms have no direct notion of the physical Direction of Arrival angle of an impinging signal. These blind adaptive algorithms operate by adjusting the complex steering vector in the case of changing signal conditions and directions. This paper presents Angular CMA, a blind beamforming method that calculates steering angle updates (instead of weight vector up...

This paper investigates the flight mechanics of a micro aerial vehicle without a vertical tail in an effort to reverse-engineer the agility of avian flight. The key to stability and control of such a tailless aircraft lies in the ability to control the incidence angles and dihedral angles of both wings independently. The dihedral angles can be varied symmetrically on both wings to control aircr...

This paper treats the question of output trajectory tracking in nonlinear systems in the presence of uncertainty. It is assumed that the nominal system is decouplable using state variable feedback. An adaptive control law is derived such that in the closed-loop system, output vector asymptotically converges to the given reference trajectory. The controller includes a dynamic system in the feedb...

The obstacle avoidance system of a drone affects the quality its flight path. artificial potential field method can react quickly when facing obstacles; however, traditional lacks consideration position information between drones and obstacles during flight, issues including local minima, unreachable targets, unreasonable techniques that lengthen times consume more energy get encountered. There...