Random gradient-free method for online distributed optimization with strongly pseudoconvex cost functions

IF 1.7 4区计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS

Control Theory and Technology Pub Date : 2023-11-20 DOI:10.1007/s11768-023-00181-8

Xiaoxi Yan, Cheng Li, Kaihong Lu, Hang Xu

引用次数: 0

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强伪凸成本函数在线分布式优化的无随机梯度方法

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来源期刊

Control Theory and Technology Engineering-Aerospace Engineering

CiteScore

2.70

自引率

7.10%

发文量

1138

期刊介绍： The Control Theory and Technology publishes high-quality papers on original, theoretical and experimental research and development in the area of systems and control, including all aspects of control theory and its applications. Its function is to provide a forum for domestic, as well as international, scientists and engineers in this field to exchange their knowledge and experiences. Articles for submission may be survey papers, or reviews on well established or newly emerging research topics, techniques, etc.; or regular papers which describe new well developed theoretical results or applications; or brief papers which present new techniques, concepts, perspectives, etc.Among the topics of interests areNonlinear systems and controlCyber-physical systemsIdentification and estimationOptimal control and optimizationRobust and H-infinity controlAdaptive and learning controlCooperative systemsStability and stabilizationDistributed parameter systemsHybrid systems and DEDSLarge scale systemsNetworked control systemsAutonomous systemsFault diagnosisCIMS and manufacturing systemsInformation processing systemsSystems biologyMulti-agent systemsMotion controlIntelligent controlPower systemsEnvironmental and bio-engineering systemsHuman-machine systemsIntelligent transportation systemsSocial networksEconomic systemsApplications in various fields