机译:通过强化学习对互联和自动驾驶车辆进行预测巡航控制
Georgia Southern Univ Allen E Paulson Coll Engn & Comp Dept Elect & Comp Engn Statesboro GA 30460 USA;
Purdue Univ Purdue Polytech Inst Dept Construct Management Technol W Lafayette IN 47907 USA;
NYU Tandon Sch Engn Dept Elect & Comp Engn Brooklyn NY 11201 USA;
road vehicles; optimal control; adaptive control; learning (artificial intelligence); predictive control; velocity control; distributed control; road traffic control; mobile robots; acceleration control; reinforcement learning; autonomous vehicle; data-driven adaptive optimal control algorithm; vehicle safety; passenger comfort; predictive cruise control; connected vehicles; distributed optimal controllers; suboptimal control; velocity regulation; headway regulation; acceleration regulation;
机译:基于模型预测控制和基于超高级容错的在线序贯极限学习机的鲁棒的面向安全的电动汽车自主巡航控制方案
机译:图形神经网络和加固学习,用于连接自动车辆多功能协作控制
机译:连接自动车辆的排压:共识分布式强化学习方法
机译:互联自动驾驶汽车的预测巡航控制:一种自适应动态规划方法
机译:预测控制设计的强化学习方法:自动驾驶汽车应用
机译:3D路径深度加强学习控制器跟踪和自动水下车辆的避免避免
机译:通过加固学习预测巡航控制和自主车辆