Synchronization of Network Systems via Aperiodic Sampled-Data Control With Constant Delay and Application to Unmanned Ground Vehicles

被引:112
作者
Ren, Hongru [1 ,2 ]
Karimi, Hamid Reza [3 ]
Lu, Renquan [1 ,2 ]
Wu, Yuanqing [1 ,2 ]
机构
[1] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China
[2] Guangdong Univ Technol, Guangdong Prov Key Lab Intelligent Decis & Cooper, Guangzhou 510006, Peoples R China
[3] Politecn Milan, Dept Mech Engn, I-20156 Milan, Italy
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
Synchronization; Delays; Land vehicles; Sampled data systems; Linear matrix inequalities; Nonlinear dynamical systems; Control systems; Network systems; sampled-data controller; synchronization; unmanned ground vehicle; H-INFINITY CONTROL; MULTIAGENT SYSTEMS; DIRECTED NETWORKS; CONSENSUS CONTROL; TIME; STABILITY; STABILIZATION; COMMUNICATION;
D O I
10.1109/TIE.2019.2928241
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the synchronization issue for network systems with nonlinear dynamics is considered. Together with zero-order holder, the aperiodic sampled-data control law is utilized. Compared with the traditional periodic sampled-data control method, this approach demonstrates more greater flexibility. Adopting input delay approach, the initial sampled-data system is remodeled by continuous time system involving time-varying delays in the control signals. For the purpose of designing the sampling controllers suffering constant delays, an updated Lyapunov functional is developed from the augmentation of Wirtinger's inequality. Such a Lyapunov functional results in efficient and simplified synchronization conditions. A sufficient condition for synchronizability of network systems is set up. Then, for the case of unstable systems with some constant delays, a fresh discretized Lyapunov functional is introduced. Finally, we utilize the numerical simulation outcomes to prove the efficacy and advantage of our algorithm. Moreover, based on the network unmanned ground vehicle systems, the experiment results in a real scenario are provided to illustrate the effectiveness of the designed synchronization scheme.
引用
收藏
页码:4980 / 4990
页数:11
相关论文
共 51 条
  • [1] Decentralized Event-triggered Stability Analysis of Neutral-type BAM Neural Networks with Markovian Jump Parameters and Mixed Time Varying Delays
    Ali, M. Syed
    Vadivel, R.
    Kwon, O. M.
    [J]. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2018, 16 (03) : 983 - 993
  • [2] Decentralized Event-Triggered Exponential Stability for Uncertain Delayed Genetic Regulatory Networks with Markov Jump Parameters and Distributed Delays
    Ali, M. Syed
    Vadivel, R.
    [J]. NEURAL PROCESSING LETTERS, 2018, 47 (03) : 1219 - 1252
  • [3] Ali MS, 2018, NEURAL COMPUT APPL, V30, P539, DOI 10.1007/s00521-016-2671-3
  • [4] Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks
    Chen, C. L. Philip
    Wen, Guo-Xing
    Liu, Yan-Jun
    Wang, Fei-Yue
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 25 (06) : 1217 - 1226
  • [5] The MR-CA Models for Analysis of Pollution Sources and Prediction of PM2.5
    Deng, Fang
    Ma, Liqiu
    Gao, Xin
    Chen, Jie
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2019, 49 (04): : 814 - 820
  • [6] Energy-Based Sound Source Localization with Low Power Consumption in Wireless Sensor Networks
    Deng, Fang
    Guan, Shengpan
    Yue, Xianghu
    Gu, Xiaodan
    Chen, Jie
    Lv, Jianyao
    Li, Jiahong
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 64 (06) : 4894 - 4902
  • [7] Sensor Multifault Diagnosis With Improved Support Vector Machines
    Deng, Fang
    Guo, Su
    Zhou, Rui
    Chen, Jie
    [J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2017, 14 (02) : 1053 - 1063
  • [8] Neural-Based Decentralized Adaptive Finite-Time Control for Nonlinear Large-Scale Systems With Time-Varying Output Constraints
    Du, Peihao
    Liang, Hongjing
    Zhao, Shiyi
    Ahn, Choon Ki
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (05): : 3136 - 3147
  • [9] Descriptor discretized Lyapunov functional method: Analysis and design
    Fridman, Emilia
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2006, 51 (05) : 890 - 897
  • [10] A refined input delay approach to sampled-data control
    Fridman, Emilia
    [J]. AUTOMATICA, 2010, 46 (02) : 421 - 427