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Nonconvex Constrained Consensus of Discrete-Time Heterogeneous Multi-Agent Systems with Arbitrarily Switching Topologies
《Journal of Electronic Research and Application》2025年第1期14-22,共9页Honghao Wu 
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...
关键词：HETEROGENEOUS Multi-agent systems Nonconvex constraint CONSENSUS 
Position-Aware and Subgraph Enhanced Dynamic Graph Contrastive Learning on Discrete-Time Dynamic Graph
《Computers, Materials & Continua》2024年第11期2895-2909,共15页Jian Feng Tian Liu Cailing Du 
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 ...
关键词：Dynamic graph representation learning graph contrastive learning structure representation position representation evolving pattern 
Learning the continuous-time optimal decision law from discrete-time rewards
《National Science Open》2024年第5期130-147,共18页Ci Chen Lihua Xie Kan Xie Frank Leroy Lewis Yilu Liu Shengli Xie 
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...
关键词：continuous-time state and action decision law learning discrete-time reward dynamical systems reinforcement learning 
Incentive Feedback Stackelberg Strategy in Mean-Field Type Stochastic Difference Games
《Journal of Systems Science & Complexity》2024年第4期1425-1445,共21页GAO Wenhui LIN Yaning ZHANG Weihai 
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...
关键词：Discrete-time mean-field stochastic systems incentive strategy Stackelberg game teamoptimal solution 
Kalman filter based on a fractional discrete-time stochastic augmented CoVid-19 model
《Journal of Biosafety and Biosecurity》2024年第2期76-98,共23页Mohammad Ghani Dwi Rantini Maryamah 
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 ...
关键词：stability. FRACTIONAL INVERSE 
Optimal Control of Service Rates of Discrete-Time(s,Q)Queueing-Inventory Systems with Finite Buffer
《Journal of Systems Science and Systems Engineering》2024年第3期261-280,共20页L.Iniya B.Sivakumar G.Arivarignan 
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 ...
关键词：Queueing-inventory system discrete time batch demand-Markov decision process 
Qualitative behavior of discrete-time Caputo-Fabrizio logistic model with Allee effect
《International Journal of Biomathematics》2024年第4期217-234,共18页Hatice Karakaya Senol Kartal ilhan Oztirk 
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 ...
关键词：Caputo-Fabrizio fractional derivative two-step Adams-Basforth method logistic differential equation Neimark-Sacker bifurcation Allee effect 
A model reduction approach for discrete-time linear time-variant systems with delayed inputs
《Science China(Information Sciences)》2024年第4期193-213,共21页Ai-Guo WU Guang-Ren DUAN Yu WANG Jie ZHANG 
supported by Shenzhen Science and Technology Program(Grant Nos.RCJC20210609104400005,KQTD20210811090146075);HIT Wuhu Robot Technology Research Institute(Grant No.HIT-CXY-CMP2-IARU-21-01);Science Center Program of National Natural Science Foundation of China(Grant No.62188101);National Natural Science Foundation of China(Grant No.62173112);Joint Funds of the National Natural Science Foundation of China(Grant No.U2013203)。
A model reduction approach is presented for discrete-time linear time-variant input-delayed systems.According to this proposed approach,a dynamical variable is constructed by taking advantage of the current state and ...
关键词：reduction approach predictor-based feedback time-varying systems delayed input periodic system 
An Improved Method for Approximating the Infinite-Horizon Value Function of the Discrete-Time Switched LQR Problem
《Journal of Systems Science & Complexity》2024年第1期22-39,共18页HOU Tan LI Yuanlong LIN Zongli 
supported in part by the National Natural Science Foundation of China under Grant Nos.62022055 and 61973215。
This paper considers the problem of approximating the infinite-horizon value function of the discrete-time switched LQR problem.In particular,the authors propose a new value iteration method to generate a sequence of ...
关键词：Optimal control switched linear systems switched LQR problem. 
Adaptive Optimal Discrete-Time Output-Feedback Using an Internal Model Principle and Adaptive Dynamic Programming被引量：1
《IEEE/CAA Journal of Automatica Sinica》2024年第1期131-140,共10页Zhongyang Wang Youqing Wang Zdzisław Kowalczuk 
supported by the National Science Fund for Distinguished Young Scholars (62225303);the Fundamental Research Funds for the Central Universities (buctrc202201);China Scholarship Council,and High Performance Computing Platform;College of Information Science and Technology,Beijing University of Chemical Technology。
In order to address the output feedback issue for linear discrete-time systems, this work suggests a brand-new adaptive dynamic programming(ADP) technique based on the internal model principle(IMP). The proposed metho...
关键词：Adaptive dynamic programming(ADP) internal model principle(IMP) output feedback problem policy iteration(PI) value iteration(VI) 
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