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Data-based neural controls for an unknown continuous-time multi-input system with integral reinforcement: 《Control Theory and Technology》2025年第1期118-130,共13页Yongfeng Lv Jun Zhao Wan Zhang Huimin Chang; Integral reinforcement learning(IRL)is an effective tool for solving optimal control problems of nonlinear systems,and it has been widely utilized in optimal controller design for solving discrete-time nonlinearity.Ho...; 关键词：Adaptive dynamic programming Integral reinforcement Neural networks Heuristic dynamic programming Multi-input system

Linear Programming-Based Consensus of Positive Continuous-Time Multi-Agent Systems: 《IEEE/CAA Journal of Automatica Sinica》2024年第12期2519-2521,共3页Junfeng Zhang Fengyu Lin Shihong Ding Wei Xing; supported by the National Nature Science Foundation of China(62073111);the Science Research Funding of Hainan University(KYQD(ZR)22180)。; Dear Editor,This letter deals with the consensus of positive multi-agent systems(PMASs).A consensus protocol is proposed by introducing a finite consensus point.An error is defined as the differences in the linear com...; 关键词：AGENT system ERROR

Advancements in Time Modeling: Relationalism, Divisional Structures, and Geometry: 《Journal of Applied Mathematics and Physics》2024年第10期3358-3383,共26页Steven D. P. Moore; This article broadens terminology and approaches that continue to advance time modelling within a relationalist framework. Time is modeled as a single dimension, flowing continuously through independent privileged poi...; 关键词：RELATIONALISM Mohist Geometry Euclidean Geometry Relational-Time Discrete-Time CONTINUOUS-TIME Planck Time Zero-Time

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

Distributed order estimation for continuous-time stochastic systems: 《Control Theory and Technology》2024年第3期406-418,共13页Xinghua Zhu Zhixin Liu Xiaoming Hu; supported by the National Key R&D Program of China(No.2018YFA0703800);the Natural Science Foundation of China(No.T2293770);the Strategic Priority Research Program of Chinese Academy of Sciences(No.XDA27000000);the National Science Foundation of Shandong Province(No.ZR2020ZD26).; In this paper,we investigate the distributed estimation problem of continuous-time stochastic dynamic systems over sensor networks when both the system order and parameters are unknown.We propose a local information c...; 关键词：Stochastic differential equations Sensor networks Distributed order estimation Cooperative excitation condition.Convergence

Impact of correlated private signals on continuous-time insider trading: 《运筹学学报（中英文）》2024年第3期97-107,共11页ZHOU Yonghui XIAO Kai; 国家自然科学基金(No.11861025);贵州省科技厅项目(No.央引地QKZYD[2022]4055);贵州财经大学引进人才科研启动项目(No.2022YJ031)。; A model of continuous-time insider trading in which a risk-neutral in-sider possesses two imperfect correlated signals of a risky asset is studied.By conditional expectation theory and filtering theory,we first establ...; 关键词：continuous-time insider trading risk neutral private correlated signals linear bayesian equilibrium market depth residual information

Compressed Least Squares Algorithm of Continuous-Time Linear Stochastic Regression Model Using Sampling Data: 《Journal of Systems Science & Complexity》2024年第4期1488-1506,共19页XIE Siyu ZHANG Shujun WANG Ziming GAN Die; supported by the Major Key Project of Peng Cheng Laboratory under Grant No.PCL2023AS1-2;Project funded by China Postdoctoral Science Foundation under Grant Nos.2022M722926 and2023T160605。; In this paper,the authors consider a sparse parameter estimation problem in continuoustime linear stochastic regression models using sampling data.Based on the compressed sensing(CS)method,the authors propose a compre...; 关键词：Compressed excitation condition compressed sensing continuous-time model least squares linear stochastic regression parameter identification sampling data

Distributed Minimum-Energy Containment Control of Continuous-Time Multi-Agent Systems by Inverse Optimal Control: 《IEEE/CAA Journal of Automatica Sinica》2024年第6期1533-1535,共3页Fei Yan Xiangbiao Liu Tao Feng; supported by the National Nat-ural Science Foundation of China(61873215,62103342);the Natural Science Foundation of Sichuan Province(2022NSFSC0470,2022NSFSC0892).; Dear Editor,This letter focuses on the distributed optimal containment control of continuous-time multi-agent systems(CTMASs)with respect to the minimum-energy performance index over fixed topology.To achieve this,we ...; 关键词：optimal INFINITY ALGEBRAIC

Sex-specifc seasonal variations of wild boar distance traveled and home range size: 《Current Zoology》2024年第3期284-290,共7页Silvia Cavazza Rudy Brogi Marco Apollonio; Distance traveled and home range size describe how animals move in space.The seasonal variations of these parameters are important to comprehensively understand animal ecology and its connection with reproductive beha...; 关键词：CONTINUOUS-TIME ctmm daily range movements spatial behavior Sus scrofa

Distributed Least Squares Algorithm of Continuous-Time Stochastic Regression Model Based on Sampled Data: 《Journal of Systems Science & Complexity》2024年第2期609-628,共20页ZHU Xinghua GAN Die LIU Zhixin; supported by the Natural Science Foundation of China under Grant No.T2293772;the National Key R&D Program of China under Grant No.2018YFA0703800;the Strategic Priority Research Program of Chinese Academy of Sciences under Grant No.XDA27000000;the National Science Foundation of Shandong Province under Grant No.ZR2020ZD26.; In this paper,the authors consider the distributed adaptive identification problem over sensor networks using sampled data,where the dynamics of each sensor is described by a stochastic differential equation.By minimi...; 关键词：Cooperative excitation condition distributed least squares REGRET sampled data stochastic differential equation

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