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首页> 外文期刊>Robotics & Machine Learning Daily News >New Robotics Study Findings Have Been Reported by Investigators at Hebei University of Engineering (Trajectory Tracking Control of Nonholonomic Wheeled Mobile Robots Using Model Predictive Control Subjected To Lyapunov-based Input Constraints)
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New Robotics Study Findings Have Been Reported by Investigators at Hebei University of Engineering (Trajectory Tracking Control of Nonholonomic Wheeled Mobile Robots Using Model Predictive Control Subjected To Lyapunov-based Input Constraints)

机译:新机器人学研究结果已报告调查人员在河北工程大学(非完整的轨迹跟踪控制轮式移动机器人使用模型预测控制受到Lyapunov-based输入约束)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotics. According to news originating from Hebei, People’s Republic of China, by NewsRx correspondents, research stated, “This paper studies the trajectory tracking control for the nonholonomic wheeled mobile robot (WMR) based on model predictive control (MPC). Concerning overcome stable problem occurred from optimization control of MPC, we develop an MPC controller subjected to Lyapunov-based input constraints (LMPC) to solve the trajectory tracking problem for the nonholonomic WMR.”
机译:机器人技术与新闻记者新闻编辑机器学习日常新闻-每日新闻在机器人研究人员详细的新数据。据新闻来自河北、中华人民共和国NewsRx记者,研究说,”这篇文章研究的轨迹跟踪控制基于非完整轮式移动机器人(WMR)模型预测控制(MPC)。解决稳定问题发生MPC的优化控制,我们开发一个MPC控制器接受Lyapunov-based输入约束(LMPC)解决轨迹跟踪问题的非完整WMR。”

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