Leader-follower identification of complex product redesign modules for multi-domain collaboration

被引:0
|
作者
Qiu K. [1 ]
Su J.-N. [2 ]
Zhang S.-T. [2 ]
Zhang Z.-P. [1 ]
Liu S.-F. [1 ]
机构
[1] School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou
[2] School of Design Art, Lanzhou University of Technology, Lanzhou
关键词
complex product redesign; comprehensive evaluation model; leader-follower identification; multi-domain collaboration; product module;
D O I
10.3785/j.issn.1008-973X.2022.12.005
中图分类号
学科分类号
摘要
A multi-domain collaborative evaluation method including cognitive domain, demand domain and module domain was constructed, in order to effectively identify the master-slave relationship of each module in complex product redesign under the condition of multi-agent participation and multi-demand coexistence, and to improve the efficiency of redesign. The design requirements domain was established based on the emotional and physical needs of different cognitive subjects in the cognitive domain. Combined with the fuzzy evaluation and the relative preference analysis, the inter-domain mapping importance of each module for the requirement domain mapping was obtained. Considered the connection relationship among modules, a fuzzy design structure matrix combined with DEMATEL was proposed to obtain the intra-domain correlation importance of each module. Using the cooperative game method, a comprehensive evaluation model was established, which combined the inter-domain mapping importance and the intra-domain correlation importance to identify the master-slave relationship of each module. Compared with the module importance analysis mode from a single perspective, the method obtained more objective, comprehensive and accurate evaluation results. Taking the CKA6180 CNC machine tool as an example, the effectiveness and feasibility of the multi-domain collaborative evaluation method were verified. © 2022 Zhejiang University. All rights reserved.
引用
收藏
页码:2358 / 2366+2391
相关论文
共 50 条
  • [41] Multi-rate sampled-data algorithm for leader-follower flocking
    Yazdani, Sahar
    Haeri, Mohammad
    Su, Housheng
    [J]. IET CONTROL THEORY AND APPLICATIONS, 2020, 14 (19): : 3038 - 3046
  • [42] Almost equitable partitions and controllability of leader-follower multi-agent systems
    Zhang, Xiufeng
    Sun, Jian
    [J]. AUTOMATICA, 2021, 131
  • [43] Multi-UAVs Formation Flight Control Based on Leader-Follower Pattern
    Yuan, Wen
    Chen, QingYang
    Hou, ZhongXi
    Li, Yue
    [J]. PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 1276 - 1281
  • [44] Time-cooperative guidance for multi-missiles: A leader-follower strategy
    Department of Control Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China
    不详
    [J]. Hangkong Xuebao, 2009, 6 (1109-1118):
  • [45] Leader-Follower Formation Control of Multi-Robot without Communication Links
    Lee, Yunha
    Suh, Ui-Suk
    Ra, Won-Sang
    [J]. PROCEEDINGS OF THE IECON 2016 - 42ND ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2016, : 202 - 208
  • [46] Leader-follower Consensus of Linear Multi-Agent Systems with Input Saturation
    Li, Pengyuan
    Jabbari, Faryar
    Sun, Xi-Ming
    [J]. 2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC), 2019, : 1108 - 1113
  • [47] Leader-follower coherence in multi-layer networks: Understanding allocations of leaders
    Wang, Yixin
    Wang, Jun
    Sun, Weigang
    [J]. INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2024, 35 (07):
  • [48] Effects of changing the weights of arcs on the consensus convergence rate of a leader-follower multi
    Gao, Shanshan
    Zhang, Shenggui
    Chen, Xinzhuang
    [J]. CHAOS SOLITONS & FRACTALS, 2023, 172
  • [49] Interconnection topologies for multi-agent coordination under leader-follower framework
    Ji, Zhijian
    Wang, Zidong
    Lin, Hai
    Wang, Zhen
    [J]. AUTOMATICA, 2009, 45 (12) : 2857 - 2863
  • [50] A fuzzy approach on consensus of nonlinear leader-follower multi-agent systems
    Saadi, Pegah Tabari
    Mardani, Mohammad Mehdi
    Shasadeghi, Mokhtar
    Safarinezhadian, Behrouz
    [J]. 2015 4th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS), 2015,