首页|Recent Findings in Robotics Described by Researchers from Yantai University (Rei nforcement Learning-based Tracking Control for a Three Mecanum Wheeled Mobile Ro bot)
Recent Findings in Robotics Described by Researchers from Yantai University (Rei nforcement Learning-based Tracking Control for a Three Mecanum Wheeled Mobile Ro bot)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators discuss new findings in Robotics. A ccording to news reporting from Yantai, People's Republic of China, by NewsRx jo urnalists, research stated, "This brief investigates the robust optimal tracking control for a three Mecanum wheeled mobile robot (MWMR) with the external distu rbance by the aid of online actor-critic synchronous learning algorithm. The Eul er-Lagrange motion equation of MWMR subject to slipping is established by analyz ing the structural characteristics of Mecanum wheels." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). The news correspondents obtained a quote from the research from Yantai Universit y, "Concatenating the tracking error with the desired trajectory, the tracking c ontrol problem is converted into a time-invariant optimal control problem of an augmented system. Then, an approximate optimal tracking controller is obtained b y applying online actor-critic synchronous learning algorithm. With the help of Lyapunov-based analysis, the ultimately bounded tracking can be guaranteed."
YantaiPeople's Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningReinforcement LearningR obotRoboticsYantai University
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