《Journal of Control and Decision》

作品数:298被引量:169H指数:5
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《Journal of Control and Decision》
主办单位:东北大学
最新期次:2025年1期更多>>
发文主题:CONTROLMULTI-AGENT_SYSTEMSADAPTIVEBASED_ONCONSENSUS更多>>
发文领域:理学自动化与计算机技术电子电信经济管理更多>>
发文基金:国家自然科学基金中国博士后科学基金国家社会科学基金安徽省自然科学基金更多>>
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A review of event-triggered consensus control in multi-agent systems
《Journal of Control and Decision》2025年第1期1-23,共23页Yihang Dou Guansheng Xing Aohua Ma Guanwu Zhao 
supported by the National Natural Science Foundation of China[grant numbers 61503118,62006135].
Event-triggered control(ETC)of multi-agent systems(MASs)has been extensively investigated due to its advantages in conserving communication resources and reducing control frequency.This paper provides a systematic rev...
关键词:Event-triggered consensus multi-agent systems resource utilisation Zeno behaviour finite-time control 
Observer-based quantised control of networked systems with round-robin protocol and transmission delay
《Journal of Control and Decision》2025年第1期24-33,共10页Ge Guo Xuefei Yan Jian Kang 
supported in part by the National Natural Science Foundation of China under Grants 62173079 and U1808205;the Science and Technology Program of Gansu Province under Grant 21ZD4GA028.
This paper addresses the ultimate boundedness control problem for a class of networked nonlinear systems with the round-robin(RR)protocol and uniform quantisation.The communication between sensor nodes and the control...
关键词:Networked control systems(NCSs) round-robin(RR)protocol transmission delay uniform quantisation ultimate boundedness control 
Exact tracking of nonlinear systems under triggering state signals
《Journal of Control and Decision》2025年第1期34-48,共15页Shu-Yi Wei Yuan-Xin Li 
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...
关键词:Adaptive control nonlinear systems non-smooth analysis event-triggered control BACKSTEPPING neural network 
Nonlinear observer-based state-of-charge balancing of networked battery energy storage systems
《Journal of Control and Decision》2025年第1期49-64,共16页Tingyang Meng Zongli Lin Yan Wan Yacov A.Shamash 
supported in part by the US Office of Naval Research under grants N00014-20-1-2858,N00014-22-1-2001,and N00014-23-1-2124.
In this paper,we propose an observer-based algorithm for balancing the state-of-charge(SoC)among battery units in a battery energy storage system(BESS).The dynamical behaviour of a battery unit is approximated by an e...
关键词:MICROGRIDS networked battery energy storage systems power distribution state-of-charge balancing equivalent circuit model nonlinear observer 
An improved EDAS method based on the cosine measure under the nested probabilistic linguistic environment
《Journal of Control and Decision》2025年第1期65-80,共16页Lan Li Xinxin Wang Zeshui Xu 
supported by the National Natural Science Foundation of China under grant numbers 72101168,71571123;China Postdoctoral Science Foundation under grant number 2021M692259.
New opportunities and challenges for information representation and processing are brought about by the rapid development of artificial intelligence.This study offers a new decision-making method that decreases inform...
关键词:Multidimensional decision-making nested probabilistic linguistic term set cosine measure EDAS weight determination 
Multi-agent deep reinforcement learning with traffic flow for traffic signal control
《Journal of Control and Decision》2025年第1期81-92,共12页Liang Hou Dailin Huang Jie Cao Jialin Ma 
supported by National Natural Science Foundation of China:[Grant Number 61763028];“Innovation Star”Project for Outstanding Graduate Students in Gansu Province:[Grant Number 2021CXZX-515].
Multi-agent Reinforcement Learning(MARL)has become one of the best methods in Adaptive Traffic Signal Control(ATSC).Traffic flow is a very regular traffic volume,which is highly critical to signal control policy.Howev...
关键词:Multi-agent reinforcement learning actor-critic adaptive traffic signal control traffic flow 
Solvability and optimal controls of neutral stochastic integro-differential equations driven by fractional Brownian motion
《Journal of Control and Decision》2025年第1期93-100,共8页Ravikumar Kasinathan Ramkumar Kasinathan Varshini Sandrasekaran 
In this article,the authors set up an optimal control of neutral stochastic integro-differential equations(NSIDEs)driven by fractional Brownian motion(fBm)in a Hilbert space by using Grimmer resolvent operators.Suffic...
关键词:EXISTENCE SOLVABILITY optimal control fractional Brownian motion 
Robustness enhancement of DRL controller for DC-DC buck converters fusing ESO
《Journal of Control and Decision》2025年第1期101-110,共10页Tianxiao Yang Chengang Cui Chuanlin Zhang Jun Yang 
supported in part by the National Natural Science Foundation of China under Grant 62233006,62173221;in part by Shanghai Rising-Star program under Grant 20QA1404000.
Recent application studies of deep reinforcement learning(DRL)in power electronic systems have successfully demonstrated its superiority over conventional model-based control design methods,stemming from its adaption ...
关键词:Deep reinforcement learning extended state observer DC-DC buck converter robustness enhancement 
A model-based tracking control scheme for nonlinear industrial processes involving joint unscented Kalman filter
《Journal of Control and Decision》2025年第1期111-122,共12页Sanjay Bhadra Atanu Panda Parijat Bhowmick Somasundar Kannan 
supported by the Science and Engineering Research Board(SERB),DST,India[grant number SRG/2022/000892].
This paper proposes a model-based reference tracking scheme for stable,MIMO,nonlinear processes.A Joint Unscented Kalman Filtering technique is exploited here to develop a stochastic model of the physical process via ...
关键词:Model-based control JUKF nonlinear MPC TITO coupled-tank process level-temperature control 
Modelling and optimisation for a retrial queue with imperfect coverage and reboot delay
《Journal of Control and Decision》2025年第1期123-130,共8页C.C.Kuo K.Huang J.C.Ke T.H.Liu S.H.Sheu 
This paper adopts an M/G/1 retrial queueing system with imperfect coverage and reboot delay.When the system detects an arrival,it will immediately process the arrival.On the other hand,if the arrivals are not detected...
关键词:Sensitivity analysis optimisation analysis retrial queues imperfect coverage reboot delay 
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