2017 IEEE 56th Annual Conference on Decision and Control (CDC) 2017
DOI: 10.1109/cdc.2017.8263673
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A lateral control assistant for the dynamic model of vehicles subject to state constraints

Abstract: An assistant control scheme for the dynamic model of a car to help the driver track a given reference or to keep the car in a given lane while making sure that all the system states satisfy pre-defined constraints is given. The assistant control algorithm is based on a hysteresis switch and the formal properties of the closed-loop system are studied via a Lyapunovlike analysis. Simulation results showing the effectiveness of the driving assistance system are presented.

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Cited by 10 publications
(4 citation statements)
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“…According to road crash statistics, improper steering wheel movement is responsible for an estimated 40% of all fatalities on the road. As a result, the lateral control support system is crucial in enhancing safety (Jiang and Astolfi, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…According to road crash statistics, improper steering wheel movement is responsible for an estimated 40% of all fatalities on the road. As a result, the lateral control support system is crucial in enhancing safety (Jiang and Astolfi, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Approximate 40% of deaths on the road happened due to improper steering wheels. 1 Hence, the lateral control supporting system is required to enhance road safety and people’s lives. To improve the lane-keeping performance of autonomous vehicles along with the desired trajectory, the control of lateral dynamics problem of lateral dynamics of the vehicle has to be solved and studied.…”
Section: Introductionmentioning
confidence: 99%
“…Other control technologies have also been used, such as H ∞ control [7], [8], Linear Quadratic Regulator (LQR) [9] and sliding mode control [10], [11], [12]. In addition, the paper [13] has presented a feedback controller to control the lateral dynamics of rear-wheel drive cars subject to state constraints. However, these control methods are developed based on the linearized model of the lateral dynamics, while this paper studies the control problem for the nonlinear lateral dynamics.…”
mentioning
confidence: 99%