This paper proposes linear and nonlinear filters for a non-Gaussian dynamic system with an unknown nominal covariance of the output noise.The challenge of designing a suitable filter in the presence of an unknown cova...
partially supported by National Key Research and Development Program of China(2019YFC1510902);National Natural Science Foundation of China(62073104);Natural Science Foundation of Heilongjiang Province(LH2022F024);China Postdoctoral Science Foundation(2022M710965)。
This paper presents a subspace identification method for closed-loop systems with unknown deterministic disturbances.To deal with the unknown deterministic disturbances,two strategies are implemented to construct the ...
supported by the Nature Science Foundation of China (61873106);the Nature Science Foundation of Jiangsu Province for Distinguished Young Scholars (BK20200049);Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX21_3142)。
Dear Editor, This letter is concerning friendly jamming unmanned aerial vehicles(UAVs) to assist in the safe communication of UAV base stations. Due to the openness of UAV wireless communication, it is vulnerable to a...
This work was supported by Research Grants Council of Hong Kong(CityU-11205221).
This article addresses the leader-following output consensus problem of heterogeneous linear multi-agent systems with unknown agent parameters under directed graphs.The dynamics of followers are allowed to be non-mini...
supported by the National Natural Science Foundation of China(62173352,62103112);the Guangdong Basic and Applied Basic Research Foundation(2021A1515012314);the Open Project of Shenzhen Institute of Artificial Intelligence and Robotics for Society(AC01202005006);the Key-Area Research and Development Program of Guangzhou(202007030004)。
Taking advantage of their inherent dexterity,robotic arms are competent in completing many tasks efficiently.As a result of the modeling complexity and kinematic uncertainty of robotic arms,model-free control paradigm...
This work was partially supported by the European Union’s Horizon 2020 research and innovation programme(739551)(KIOS CoE);from the Republic of Cyprus through the Directorate General for European Programmes,Coordination and Development.
In this paper,a novel finite-time distributed identification method is introduced for nonlinear interconnected systems.A distributed concurrent learning-based discontinuous gradient descent update law is presented to ...
supported in part by the National Natural Science Foundation of China(52075476,92048302);Key R&D Program of Zhejiang Province(2021C03013)。
Currently,most teleoperation work is focusing on scenarios where slave robots interact with unknown environments.However,in some fields such as medical robots or rescue robots,the other typical teleoperation applicati...
supported by the National Natural Science Foundation of China(61922063,61773289);Shanghai Shuguang Project(18SG18);Shanghai Natural Science Foundation(19ZR1461400);Shanghai Sailing Program(20YF1452900);Fundamental Research Funds for the Central Universities。
This paper studies the fully distributed formation control problem of multi-robot systems without global position measurements subject to unknown longitudinal slippage constraints.It is difficult for robots to obtain ...
This work was supported in part by the National Natural Science Foundation of China(61873151,62073201);in part by the Shandong Provincial Natural Science Foundation of China(ZR2019MF009);the Taishan Scholar Project of Shandong Province of China(tsqn201909078);the Major Scientific and Technological Innovation Project of Shandong Province,China(2019JAZZ020812);in part by the Major Program of Shandong Province Natural Science Foundation,China(ZR2018ZB0419).
An adaptive decentralized asymptotic tracking control scheme is developed in this paper for a class of large-scale nonlinear systems with unknown strong interconnections,unknown time-varying parameters,and disturbance...
supported in part by the Doctoral Students’Short Term Study Abroad Scholarship Fund of Xidian University;the National Natural Science Foundation of China(61873342,61672400,62076189);the Recruitment Program of Global Experts;the Science and Technology Development Fund,MSAR(0012/2019/A1)。
In this paper,we elaborate on residual-driven Fuzzy C-Means(FCM)for image segmentation,which is the first approach that realizes accurate residual(noise/outliers)estimation and enables noise-free image to participate ...