Consensus control for directed networks with multiple higher-order discrete dynamic agents: An ILC-based approach

被引：0
|
作者：
Meng, Deyuan [1 ]
Jia, Yingmin [1 ]
Du, Junping [2 ]
Yu, Fashan [3 ]
机构：
[1] Beihang Univ BUAA, Res Div 7, Beijing 100191, Peoples R China
[2] Beijing Univ Posts & Telecommun, Sch Comp Sci & Technol, Beijing 100876, Peoples R China
[3] Henan Polytechn Univ, Sch Elect Engn & Automat, Henan 454000, Peoples R China
来源：
2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC) | 2012年
关键词：
Iterative learning control; consensus control; monotonic convergence; robustness; directed networks; multi-agent systems; ITERATIVE LEARNING CONTROL; FINITE-TIME CONSENSUS; MULTIAGENT SYSTEMS; INTERVAL;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper demonstrates that the idea of iterative learning control (ILC) can be applied to deal with the consensus problems for multi-agent systems. All agents are considered in directed networks and with higher-order discrete dynamics. It is shown that the multi-agent system can be enabled to achieve consensus at any desired state, and its process can be guaranteed to converge monotonically by selecting learning parameters appropriately. Furthermore, the ILC-based consensus protocols can provide sufficient robustness against network uncertainties. Simulation results are provided to verify the effectiveness of our theoretical study.
引用
收藏
页码：4666 / 4671
页数：6
相关论文
共 48 条
  • [11] Nonlinear Adaptive Control Based on Dynamic Approximate any Higher-order Nonlinearization
    Hu, Zhiqiang
    Wang, Shigang
    Wang, Ying
    Li, Yingsong
    CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS, 2009, : 376 - +
  • [12] The nonlinear adaptive control for a class of based on dynamic approximate higher-order nonlinearization
    Hu, Zhiqiang
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 2465 - 2469
  • [13] Dynamic Threshold Control and Higher-Order Processes for Magnetics Based Microwave Devices
    Venugopal, Aneesh
    Victora, R. H.
    2021 IEEE MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM (IMS), 2021, : 358 - 361
  • [14] Consensus tracking for higher-order multi-agent systems with switching directed topologies and occasionally missing control inputs
    Wen, Guanghui
    Hu, Guoqiang
    Yu, Wenwu
    Cao, Jinde
    Chen, Guanrong
    SYSTEMS & CONTROL LETTERS, 2013, 62 (12) : 1151 - 1158
  • [15] Dynamic analysis of composite plate with multiple delaminations based on higher-order zigzag theory
    Oh, J
    Cho, M
    Kim, JS
    INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES, 2005, 42 (23) : 6122 - 6140
  • [16] Guaranteed Cost Control for Multiple Second-order Dynamic Agents with Delayed Consensus Protocol
    Wang, Zhong
    He, Ming
    Yuan, Mei
    Zhao, Yuan
    Liu, Yanfei
    PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 8142 - 8147
  • [17] Resilient Consensus of Higher Order Multiagent Networks: An Attack Isolation-Based Approach
    Zhao, Dan
    Lv, Yuezu
    Yu, Xinghuo
    Wen, Guanghui
    Chen, Guanrong
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2022, 67 (02) : 1001 - 1007
  • [18] Adaptive leader-following consensus for a class of higher-order nonlinear multi-agent systems with directed switching networks
    Liu, Wei
    Huang, Jie
    AUTOMATICA, 2017, 79 : 84 - 92
  • [19] A Higher-Order Motif-Based Spatiotemporal Graph Imputation Approach for Transportation Networks
    Zhu, Difeng
    Shen, Guojiang
    Chen, Jingjing
    Zhou, Wenfeng
    Kong, Xiangjie
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
  • [20] Observer-Based Discrete-Time Sliding-Mode Control For Higher-Order Dynamic Delay-Time System
    Patil, Y. P.
    Patel, H. G.
    2016 14TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV), 2016,
12345