面向跟踪系统的多通道传输策略研究
作者:
中图分类号:

TN923

基金项目:

广东电网有限责任公司科技项目(GDKJXM20172951)


Multichannel transmission strategy for tracking system
Author:
  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • | | |
  • 文章评论
    摘要:

    本文主要研究了面向跟踪系统的多通道传输策略的问题.采用多通道代替单通道进行数据传输,降低数据传输过程中的丢包概率,提高数据传输的可靠性.通过对系统输出的测量和跟踪,分析跟踪误差和输出误差,找到系统能满足稳定的条件.用满足Markov分布的离散随机状态来描述通道选择情况,Markov状态转移矩阵表征不同状态之间的转移概率,从而进行稳定性分析.通过构造Lyapunov泛函和利用线性矩阵不等式处理等方法,给出了多通道传输系统满足稳定性和严格(Q,S,R)-γ-耗散性的充分条件,并设计了满足上述性能的控制器.最后通过一个仿真实例验证了本文所得结论的正确性.

    Abstract:

    To improve the reliability of tracking system in data transmission,a multichannel strategy is adopted instead of single channel transmission to reduce the possibility of packet dropout.The system output is measured and tracked,and the tracking error and output error are analyzed to find the conditions for stability.A discrete random sequence satisfying the Markov distribution is used to describe the channel choice states,and the Markov state transition matrix is used to represent the transition probability between different states,so as to carry out stability analysis.By constructing Lyapunov function and utilizing linear matrix inequality,the sufficient conditions for stability and strict (Q,S,R)-γ-dissipativeness are obtained for the multi-channel transmission system,thus a mode-dependent controller is designed to achieve desired system tracking.Finally,a simulation example is provided to verify the effectiveness of the proposed multichannel transmission strategy.

    参考文献
    [1] Hu Z P,Deng F Q,Xing M L,et al.Modeling and control of Itô stochastic networked control systems with random packet dropouts subject to time-varying sampling[J].IEEE Transactions on Automatic Control,2017,62(8):4194-4201
    [2] Steinberger M,Horn M.A stability criterion for networked control systems with packetized transmissions[J].IEEE Control Systems Letters,2021,5(3):911-916
    [3] Wu Y,Pan Y N,Chen M,et al.Quantized adaptive finite-time bipartite NN tracking control for stochastic multiagent systems[J].IEEE Transactions on Cybernetics,2020.DOI:10.1109/TCYB.2020.3008020
    [4] Peng G F,Peng K.An H output tracking control approach to sampled-data control for nonlinear networked control systems[J].IEEE Access,2020,8:143644-143653
    [5] Zhang L X,Yin X Y,Ning Z P,et al.Robust filtering for a class of networked nonlinear systems with switching communication channels[J].IEEE Transactions on Cybernetics,2017,47(3):671-682
    [6] Du D J,Zhan G H,Qi B,et al.Based on H2/H filtering control for wireless network with multi-channel network-induced delays constraints[C]//UKACC 11th International Conference on Control,2016.DOI:10.1109/CONTROL.2016.7737630
    [7] Lin F,Wang W L,Han L T,et al.State estimation of multichannel networked discrete event systems[J].IEEE Transactions on Control of Network Systems,2020,7(1):53-63
    [8] Qiu J B,Feng G,Gao H J.Nonsynchronized-state estimation of multichannel networked nonlinear systems with multiple packet dropouts via T-S fuzzy-affine dynamic models[J].IEEE Transactions on Fuzzy Systems,2011,19(1):75-90
    [9] Song J M,Park P.A diffusion strategy for the multichannel active noise control system in distributed network[C]//International Conference on Computational Science and Computational Intelligence.2016.DOI:10.1109/CSCI.2016.0130
    [10] Wang T,Gao H J,Qiu J B.A combined adaptive neural network and nonlinear model predictive control for multirate networked industrial process control[J].IEEE Transactions on Neural Networks and Learning Systems,2016,27(2):416-425
    [11] Xue B Q,Yu H S,Wang M L.Robust H output feedback control of networked control systems with discrete distributed delays subject to packet dropout and quantization[J].IEEE Access,2019,7:30313-30320
    [12] Ren M F,Zhang J H,Jiang M,et al.Minimum (h,φ)-entropy control for non-Gaussian stochastic networked control systems and its application to a networked DC motor control system[J].IEEE Transactions on Control Systems Technology,2015,23(1):406-411
    [13] Zhen S,Hou Z S,Yin C K.A novel data-driven predictive control for networked control systems with random packet dropouts[C]//IEEE 6th Data Driven Control and Learning Systems Conference,2017.DOI:10.1109/DDCLS.2017.8068093
    [14] Xu H,Jagannathan S.Neural network-based finite horizon stochastic optimal control design for nonlinear networked control systems[J].IEEE Transactions on Neural Networks and Learning Systems,2015,26(3):472-485
    [15] Pang Z H,Liu G P,Zhou D,et al.Data-based predictive control for networked nonlinear systems with network-induced delay and packet dropout[J].IEEE Transactions on Industrial Electronics,2016,63(2):1249-1257
    [16] Razeghi-Jahromi M,Seyedi A.Stabilization of networked control systems with sparse observer-controller networks[J].IEEE Transactions on Automatic Control,2015,60(6):1686-1691
    [17] Qiu L,Shi Y,Yao F Q,et al.Network-based robust H2/H control for linear systems with two-channel random packet dropouts and time delays[J].IEEE Transactions on Cybernetics,2015,45(8):1450-1462
    [18] Yan H C,Hu C Y,Zhang H,et al.H output tracking control for networked systems with adaptively adjusted event-triggered scheme[J].IEEE Transactions on Systems,Man,and Cybernetics:Systems,2019,49(10):2050-2058
    [19] Zhang D,Nguang S K,Yu L.Distributed control of large-scale networked control systems with communication constraints and topology switching[J].IEEE Transactions on Systems,Man,and Cybernetics:Systems,2017,47(7):1746-1757
    [20] Li J M,Su H Y,Wu Z G,et al.Stabilization of wireless networked control system with multi-packet transmission policy[C]//Proceedings of the 31st Chinese Control Conference,2012:5770-5774
    [21] Boukas E K,Liu Z K.Robust H control of discrete-time Markovian jump linear systems with mode-dependent time-delays[J].IEEE Transactions on Automatic Control,2001,46(12):1918-1924
    相似文献
    引证文献
引用本文

彭志荣,张天乙,温志坤,李健波,陈相德.面向跟踪系统的多通道传输策略研究[J].南京信息工程大学学报(自然科学版),2021,13(1):124-130
PENG Zhirong, ZHANG Tianyi, WEN Zhikun, LI Jianbo, CHEN Xiangde. Multichannel transmission strategy for tracking system[J]. Journal of Nanjing University of Information Science & Technology, 2021,13(1):124-130

复制
分享
文章指标
  • 点击次数:217
  • 下载次数: 1709
  • HTML阅读次数: 0
  • 引用次数: 0
历史
  • 收稿日期:2020-10-07
  • 在线发布日期: 2021-03-31

地址:江苏省南京市宁六路219号    邮编:210044

联系电话:025-58731025    E-mail:nxdxb@nuist.edu.cn

南京信息工程大学学报 ® 2025 版权所有  技术支持:北京勤云科技发展有限公司