Novel criteria on H filter design of linear networked control systems

Novel criteria on H filter design of linear networked control systems

For access to this article, please select a purchase option:

Buy article PDF
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
IET Signal Processing — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

This study considers H filter design for a class of linear networked control systems with quantisation. The effects of network-induced delay, data loss and signal quantisation on the system is considered, where the quantiser is selected to be logarithmic. Based on the modified delay-central-point method and using the convexity property of the matrix inequality, new criteria are derived for the H performance analysis of the filtering-error systems, which can lead to a less conservative analysis results and thus reduce the overdesign of the filter. Two examples are provided to show the less conservatism of the derived analysis results and also to illustrate the design procedures of the filters’ parameters.


    1. 1)
      • 1. Huang, D., Nguang, S.: ‘Robust control for uncertain networked control systems with random delays’, vol. 386, Springer, 2009.
    2. 2)
      • 2. Lin, C., Wang, Q.G., Lee, T.H., He, Y.: ‘Fuzzy weighting-dependent approach to H filter design for time-delay fuzzy systems’, IEEE Trans. Signal Process., 2007, 55, pp. 27462751.
    3. 3)
      • 3. Zhang, X., Han, Q.-L.: ‘Delay-dependent robust H∞ filtering for uncertain discrete-time systems with time-varying delay based on a finite sum inequality’, IEEE Trans. Circuits Syst. II: Express Briefs, 2006, 53, (12), pp. 14661470.
    4. 4)
      • 4. Zhang, X., Han, Q.-L.: ‘Robust H∞ filtering for a class of uncertain linear systems with time-varying delay’, Automatica, 2008, 44, pp. 157166.
    5. 5)
      • 5. Zhou, Q., Shi, P.: ‘A new approach to network-based H∞ control for stochastic systems’, Int. J. Robust Nonlinear Control, 2011, 22, (9), pp. 10361059, doi: 10.1002/rnc.1750.
    6. 6)
      • 6. Li, H., Wang, C., Shi, P., Gao, H.: ‘New passivity results for uncertain discrete-time stochastic neural networks with mixed time delays’, Neurocomputing, 2010, 73, (16–18), pp. 32913299.
    7. 7)
      • 7. Mahmoud, M.S.: ‘Robust control and filtering for time-delay systems’. (Marcel Dekker Inc., New York, 2000).
    8. 8)
      • 8. Zhang, W., Branicky, M.S., Phillips, S.M.: ‘Stability of networked control systems’, IEEE Control Syst. Mag., 2001, 21, pp. 8499.
    9. 9)
      • 9. Hu, S., Yue, D.: ‘Event-triggered control design of linear networked systems with quantizations’, ISA Trans., 2012, 51, (1), pp. 153162.
    10. 10)
      • 10. Ishido, Y., Takaba, K., Quevedo, D.E.: ‘Stability analysis of networked control systems subject to packet-dropouts and finite-level quantization’, Syst.  Control Lett., 2011, 60, (5), pp. 325332.
    11. 11)
      • 11. Peng, C., Yang, T.: ‘Communication-delay-distribution-dependent networked control for a class of T–S fuzzy systems’, IEEE Trans. Fuzzy Syst., 2010, 18, (2), pp. 326335.
    12. 12)
      • 12. Yang, R., Shi, P., Liu, G.-P., Gao, H.: ‘Network-based feedback control for systems with mixed delays based on quantization and dropout compensation’, Automatica, 2011, 47, (12), pp. 28052809.
    13. 13)
      • 13. Yang, T.C.: ‘Networked control system:a brief survey’, IEE Proc.: Control Theory  Appl., 2006, 153, pp. 403412.
    14. 14)
      • 14. Yu, J., Wang, L., Yu, M.: ‘Switched system approach to stabilization of networked control systems’, Int. J. Robust Nonlinear Control, 2011, 21, (17), pp. 19251946.
    15. 15)
      • 15. Zhang, H., Yan, H., Yang, F., Chen, Q.: ‘Quantized control design for impulsive fuzzy networked systems’, IEEE Trans. Fuzzy Syst., 2011, 19, (6), pp. 11531162.
    16. 16)
      • 16. Gao, H., Chen, T.: ‘H∞ estimation for uncertain systems with limited communication capacity’, IEEE Trans. Autom. Control, 2007, 52, pp. 20702084.
    17. 17)
      • 17. Jiang, C., Zou, D., Zhang, Q.: ‘H∞ filtering for networked control systems with quantized signals’. Proc. Eighth IEEE Int. Conf. on Control and Automation. IEEE, 2010, pp. 634639.
    18. 18)
      • 18. Yue, D., Han, Q.-L.: ‘Network-based robust H∞ filtering for uncertain linear systems’, IEEE Trans. Signal Process., 2006, 54, pp. 42934301.
    19. 19)
      • 19. Yue, D., Han, Q.-L., Lam, J.: ‘Network-based robust H∞ control of systems with uncertainty’, Automatica, 2005, 41, pp. 9991007.
    20. 20)
      • 20. Yue, D., Tian, E., Zhang, Y.: ‘A piecewise analysis method to stability analysis of linear continuous/discrete systems with time-varying delay’, Int. J. Robust  Nonlinear Control, 2009, 19, pp. 14931518.
    21. 21)
      • 21. Fu, M.Y., Xie, L.: ‘The sector bound approach to quantized feedback control’, IEEE Trans. Autom. Control, 2005, 50, pp. 16981711.
    22. 22)
      • 22. Han, Q., Yue, D.: ‘Absolute stability of lur'e systems with time-varying delay’, IET Control Theory, 2007, 1, pp. 854859.

Related content

This is a required field
Please enter a valid email address