Explicit model predictive control for linear time-variant systems with application to double-lane-change maneuver

• Published in: PloS one Vol. 13; no. 12; p. e0208071
• Main Authors: Lee, Junho, Chang, Hyuk-Jun
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 04.12.2018; Public Library of Science (PLoS)
• Subjects: Algorithms; Automation - methods; Automobile Driving; Automobile industry; Automobiles; Automotive industry; Computer applications; Computer Simulation; Control algorithms; Control systems design; Control theory; Controllers; Discrete time systems; Electric vehicles; Embedded systems; Energy efficiency; Engineering and Technology; Equipment Design; Lane changing; Linear Models; Linear programming; Mathematical models; Parameter modification; Parameter robustness; Performance enhancement; Physical Sciences; Planning; Predictive control; Process controls; Research and Analysis Methods; Robust control; Simulation; Social Sciences; Software; State space models; Technology application; Time Factors; Time varying control systems; Velocity; South Korea

Explicit model predictive control (eMPC) has been proposed to reduce the huge computational complexity of MPC while maintaining the performance of MPC. Therefore, this control method has been more widely employed in the automotive industry than MPC. In this paper, an eMPC is designed to perform a do...