supported by Ajman University Internal Research Grant No.(DRGS Ref.2024-IRGHBS-3).
Fractional discrete systems can enable the modeling and control of the complicated processes more adaptable through the concept of versatility by providing systemdynamics’descriptions withmore degrees of freedom.Nume...
A robust Adaptive Discrete-time Sliding Mode Controller (ADSMC) is formulated, and is applied to control the pitch motion of a simulated Flapping-Wing Micro Air Vehicle (FWMAV). There is great potential for FWMAVs to ...
Project supported by the National Natural Science Foundation of China(Nos.62473204 and 61873130);the"Chunhui Program"Collaborative Scientific Research Project,China(No.202202004);the Natural Science Foundation of Nanjing University of Posts and Telecommunications,China(Nos.NY221082,NY222144,and NY223075);the Huali Program for Excellent Talents in Nanjing University of Posts and Telecommunications,China。
This paper investigates a privacy-preserving consensus tracking problem for a class of nonstrict-feedback discrete-time multi-agent systems(MASs).An improved Liu cryptosystem is developed to alleviate the errors betwe...
2024 Jiangsu Province Youth Science and Technology Talent Support Project;2024 Yancheng Key Research and Development Plan(Social Development)projects,“Research and Application of Multi Agent Offline Distributed Trust Perception Virtual Wireless Sensor Network Algorithm”and“Research and Application of a New Type of Fishery Ship Safety Production Monitoring Equipment”。
This paper mainly focuses on the velocity-constrained consensus problem of discrete-time heterogeneous multi-agent systems with nonconvex constraints and arbitrarily switching topologies,where each agent has first-ord...
Unsupervised learning methods such as graph contrastive learning have been used for dynamic graph represen-tation learning to eliminate the dependence of labels.However,existing studies neglect positional information ...
supported by the Guangdong Basic and Applied Basic Research Foundation(2024A1515011936);the National Natural Science Foundation of China(62320106008)
The concept of reward is fundamental in reinforcement learning with a wide range of applications in natural and social sciences.Seeking an interpretable reward for decision-making that largely shapes the system's beha...
supported by the National Natural Science Foundation of China under Grant Nos.61903234 and 61973198;the Natural Science Foundation of Shandong Province under Grant No.ZR2021MA066。
This paper designs an incentive Stackelberg strategy for the discrete-time stochastic systems with mean-field terms.Sufficient conditions for the existence of such a design are suggested.Moreover,the incentive strateg...
financial support for the research under contract number 121/UN3.1.17/PT/2022 from the Faculty of Advanced Technology and Multidiscipline,Universitas Airlangga,Indonesia.
In this paper,we study the dynamics of the CoVid-19 outbreak in Semarang,Indonesia,using a fractional CoVid-19 model.We first determine the effects of the isolation rateand infection rate b on the reproduction number ...
The research of Ms.L.Iniya is supported by the DST-INSPIRE Fellowship,New Delhi,research award No.DST/INSPIRE Fellowship/[IF190092].
This article,we develop an optimal policy to control the service rate of a discrete time queueing-inventory system with finite buffer.The customers arrive according to a Bernoulli process and the service time for the ...
The aim of this paper is to investigate the dynamic behaviors of fractional-order logistic model with Allee effects in Caputo-Fabrizio sense.First of all,we apply the two-step Adams-Bashforth scheme to discretize the ...