supported in part by the National Natural Science Foundation of China under Project No.52207043。
Under the condition of large inertia load,the stability of the servo system is more sensitive to the response speed and more likely to produce overshoot oscillations.In order to realize the requirements of high-precis...
In this paper,a new study concerning the usage of artificial neural networks in the control application is given.It is shown,that the data gathered during proper operation of a given control plant can be used in the l...
supported by the Autonomous Innovation Team Foundation for“20 Items of the New University”of Jinan City(202228087);the National Natural Science Foundation of China(62073190).
This paper studies global stabilization via predictor-based sampled-data output feedback for a class of feedforward nonlinear time-delay systems.Note that the traditional sampled-data observer via zero-order holder ma...
supported by the National Natural Science Foundation Regional Innovation and Development Joint Fund Integrated Project(Grant No.U23A6017);the Central Guidance on Local Science and Technology Development Fund of Hebei Province(Grant No.226Z1805G).
To enhance the tip positioning accuracy and robustness against disturbances of linear colocated motion systems,a novel composite feedforward(COMFF)control with Bi-Loop iterative feedforward tuning(IFFT)is proposed.The...
supported by the China Postdoctoral Science Foundation(No.2020M672823);National Natural Science Foundation of China National Natural Science Foundation of China(No.52305072,U2013602);Natural Science Foundation of Hebei Province of China(No.E2022203095);Shenzhen Science and Technology Program(No.JSGG20201102152602007);Shenzhen Science and Technology Research and Development Foundation(No.JCYJ20190813171009236);Basic Scientific Research of Technology(No.JCKY2020603C009).
Effectively controlling active power-assist lower-limb exoskeletons in a human-in-the-loop manner poses a substantial chal-lenge,demanding an approach that ensures wearer autonomy while seamlessly adapting to diverse ...
supported by Comprehensive Research Facility for Fusion Technology Program of China under Contract No.2018-000052-73-01-001228;the China Scholarship Council with No.202206340050;National Natural Science Foundation of China with Grant No.11905147.
This paper investigates the motion control of the heavy-duty Bionic Caterpillar-like Robot(BCR)for the maintenance of the China Fusion Engineering Test Reactor(CFETR).Initially,a comprehensive nonlinear mathematical m...
funded by the National Natural Science Foundation of China(Grant Number 52075361);Shanxi Province Science and Technology Major Project(Grant Number 20201102003);Lvliang Science and Technology Guidance Special Key R&D Project(Grant Number 2022XDHZ08);National Natural Science Foundation of China(Grant Number 51905367);Shanxi Natural Science Foundation General Project(Grant Numbers 202103021224271,202203021211201);Shanxi Province Key Research and Development Plan(Grant Number 202102020101013).
In the fiber winding process,strong disturbance,uncertainty,strong coupling,and fiber friction complicate the winding constant tension control.In order to effectively reduce the influence of these problems on the tens...
Background The sense of touch plays a crucial role in interactive behavior within virtual spaces,particularly when visual attention is absent.Although haptic feedback has been widely used to compensate for the lack of...
supported by the fund of Beijing Municipal Commission of Education(Nos.22019821001 and KM202210017001);the Natural Science Foundation of Henan Province(No.222300420253).
This paper discusses the problem of global state regulation via output feedback for a class of feedforward nonlinear time-delay systems with unknown measurement sensitivity. Different from previous works, the nonlinea...
This paper proposes a neural network-based intelligent feedforward gust alleviation framework,which includes a neural network identification model and a neural network controller.A neural network training dataset is f...