supported in part by the Funds of National Science of China[grant numbers 62373176,61973146,and 62373206];in part by the Distinguished Young Scientific Research Talents Plan in Liaoning Province[grant number XLYC1907077];in part by the Applied Basic Research Program in Liaoning Province[grant number 2022JH2/101300276];in part by the Taishan Scholar Project of Shandong Province of China[grant number tsqn201909097].
This paper concentrates on the event-triggered adaptive asymptotic tracking control problem for a class of nonlinear systems.By using the neural network,the unknown nonlinearities existing in the systems are skilfully...
The distinct characteristics of photovoltaic generators related to power and current present a complex problem in terms of opti-mizing their power output.To tackle this,maximum-power-point tracking techniques such as ...
supported by the National Natural Science Foundation of China under Grant Nos.62373334,62273317,and 61973286;the 111 Project under Grant No.B17040;the Fundamental Indoor Funds for the Central Universities,China University of Geosciences under Grant No.2021063.
In the process of coal mine drilling,controlling the rotary speed is important as it determines the efficiency and safety of drilling.In this paper,a linear extended state observer(LESO)based backstepping controller f...
supported by the State Grid Corporation of China Headquarters Science and Technology Project under Grant No.5400-202122573A-0-5-SF。
The system performance of grid-connected photovoltaic(PV)has a serious impact on the grid stability.To improve the control performance and shorten the convergence time,a predefined-time controller based on backsteppin...
This study addresses the problem of parameter estimation for a one-dimensional reaction-diffusion equation, involving both unknown domain parameters and unknown boundary parameters. The proposed approach utilizes the ...
supported by the National Defense Basic Scientific Research Project(JCKY2020130C025);the National Science and Technology Major Project(J2019-III-0020-0064,J2019-V-0014-0109)。
In this paper,fixed-time consensus tracking for mul-tiagent systems(MASs)with dynamics in the form of strict feed-back affine nonlinearity is addressed.A fixed-time antidistur-bance consensus tracking protocol is prop...
Supported by National Key Research and Development Program of China(Grant No.2022YFF0708903);Ningbo Municipal Key Technology Research and Development Program of China(Grant No.2022Z006);Youth Fund of National Natural Science Foundation of China(Grant No.52205043)。
Exoskeletons generally require accurate dynamic models to design the model-based controller conveniently under the human-robot interaction condition.However,due to unknown model parameters such as the mass,moment of i...
supported by the National Key Research and Development Program of China(Grant No. 2022YFF0708902);the National Natural Science Foundation of China(Grant No. 51975024);the Ningbo Key Technology Research and Development Program(Grant No. 2021ZDYF020004)。
Exercise training based on exoskeleton is an effective rehabilitation method for stroke patients. However, some rehabilitation exoskeletons still have poor wearable performance and obvious human-robot impedance during...
partially supported by the DEEPCOBOT project under Grant 306640/O70 funded by the Research Council of Norway.
In this paper,we consider a 2-degrees-of-freedom(DOF)helicopter system subject to long input delays and uncertain system parameters.To address the challenges including unknown system parameters and input delays in con...