Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting originating from Huangshi, People’s R epublic of China, by NewsRx correspondents, research stated, “The task-space dis tributed adaptive neural network (NN) fixed-time tracking problem is studied for networked heterogeneous robotic systems (NHRSs). In order to address this compl ex problem, we propose a NN-based fixed-time hierarchical control approach that transforms the problem into two sub-problems: a distributed fixed-time estimatio n problem and a local fixed-time tracking problem, respectively.” Our news editors obtained a quote from the research from Hubei Normal University , “Specifically, distributed estimators are constructed so that each follower ca n acquire the dynamic leader’s state in a fixed time. Then, the neural networks (NNs) are employed to approximate the compounded uncertainty consisting of the u nknown dynamics of robotic systems and the boundary of the compounded disturbanc e. More importantly, to guarantee that the tracking errors can converge into a s mall neighborhood of equilibrium in a fixed time independent of the initial stat e, the adaptive neural fixed-time local tracking controller is proposed. Another merit of the proposed controller is that the approximation errors are addressed in a novel way, eliminating the need for prior precise knowledge of uncertainti es and improving the robustness and convergence speed of unknown robotic systems .”
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