首页|Findings from Guangdong University of Technology in the Area of Robotics Describ ed (Observer-based Neural Control of n-link Flexible-joint Robots)
Findings from Guangdong University of Technology in the Area of Robotics Describ ed (Observer-based Neural Control of n-link Flexible-joint Robots)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Robotics have been published. According to news reporting originating from Guangzhou, People' s Republic of China, by NewsRx correspondents, research stated, "This article co ncentrates on the adaptive neural control approach of n-link flexible-joint elec trically driven robots. The presented control method only needs to know the posi tion and armature current information of the flexible-joint manipulator." Funders for this research include National Natural Science Foundation of China ( NSFC), China National Postdoctoral Program, Major Key Project of Peng Cheng Labo ratory, National Natural Science Foundation of Guangdong Province, Guangzhou Sci ence and Technology Planning Project. Our news editors obtained a quote from the research from the Guangdong Universit y of Technology, "An adaptive observer is designed to estimate the velocities of links and motors, and radial basis function neural networks are applied to appr oximate the unknown nonlinearities. Based on the backstepping technique and the Lyapunov stability theory, the observer-based neural control issue is addressed by relying on uplink-event-triggered states only. It is demonstrated that all si gnals are semi-globally ultimately uniformly bounded and the tracking errors can converge to a small neighborhood of zero."
GuangzhouPeople's Republic of ChinaA siaEmerging TechnologiesMachine LearningNano-robotRoboticsGuangdong Un iversity of Technology
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