Set-membership filtering for complex networks with constraint communication channels. Academic Article uri icon


  • The set-membership filtering is studied for a class of multi-rate sampling complex networks with communication capacity constraint. For reducing communication load, the weighted try-once-discard scheduling protocol is utilized to transmit the most needed measurement. To improve the filtering performance, a novel mixed compensation method is proposed to obtain a compensatory measurement that is closer to the actual value. Accordingly, a mixed compensation dependent filter is designed, and a filtering error system is obtained. Sufficient conditions are established to ensure that the filtering error system satisfies [Formula: see text] -dependent constraint. Then, a new algorithm is designed to obtain the optimized ellipsoid by minimizing the constraint matrix. Finally, an illustrative example is given to demonstrate the validity of the developed filter.

published proceedings

  • Neural Netw

author list (cited authors)

  • Liu, C., Yang, L., Tao, J., Xu, Y., & Huang, T.

citation count

  • 3

complete list of authors

  • Liu, Chang||Yang, Lixin||Tao, Jie||Xu, Yong||Huang, Tingwen

publication date

  • August 2022