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Volume 43 Issue 12
Dec.  2017
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Journal of Beijing University of Aeronautics and Astronautics  > 2017  >  43(12): 2392-2399.
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Citation: XIE Ronghua, FAN Weihua, CHEN Qingweiet al. Distributed H∞ control for hierarchical networked control system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(12): 2392-2399. doi: 10.13700/j.bh.1001-5965.2016.0931(in Chinese)
shu

Distributed H∞ control for hierarchical networked control system

doi: 10.13700/j.bh.1001-5965.2016.0931

  • Automation School, Nanjing University of Science and Technology, Nanjing 210094, China

Funds:

National Natural Science Foundation of China 61673219

Jiangsu Overseas Research & Training Program for University Prominent Young & Middle-aged Teachers and Presidents 

Jiangsu Foresight Joint Research Project BY2016004-07

Jiangsu Six Talents Peaks Project of Province under Grant XNYQC-CXTD-001

Tianjin Major Projects of Science and Technology under Grant 15ZXZNGX00250

More Information
  • Corresponding author: FAN Weihua, E-mail:fanweihua@njust.edu.cn
  • Received Date: 09 Dec 2016
  • Accepted Date: 10 Mar 2017
  • Publish Date: 20 Dec 2017
    Abstract

  • Considering the centralized control mode cannot be used in hierarchical networked control system which is widely applied in the fields of modern industry, aerospace, etc., the distributed H∞ control for the hierarchical networked control system is studied. First, considering the network induced delay, data packet loss and partial information available, a distributed control law for hierarchical networked control system is proposed. And the closed-loop networked control system is modeled as a switched discrete system with distributed time varying delay. Second, based on Lyapunov-Krasovskii functional method, a sufficient condition for system stability and to satisfy the requirement of given H∞ performance index is deduced, which is less conservative and depends on the upper bound of the delay. Using cone complement linearization method, the controller design is converted to an optimal problem with linear matrix inequalities, and an iterative approach for controller design is given. Finally, a simulation example is used to validate the effectiveness of the proposed method.

     

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    • References(17)
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