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Set-membership filtering for complex networks with constraint communication channels.
Chang Liu1, Lixin Yang1, Jie Tao1
1Guangdong Provincial Key Laboratory of Intelligent Decision and Cooperative Control, School of Automation, Guangdong University of Technology, Guangzhou 510006, China.
Summary
This study introduces a novel set-membership filtering approach for complex networks with communication limits. The method uses a mixed compensation strategy and a weighted try-once-discard protocol to improve filtering accuracy and reduce data load.
Area of Science:
- Control Systems Engineering
- Networked Systems
- Signal Processing
Background:
- Complex networks often face communication capacity constraints, limiting data transmission.
- Existing filtering methods may struggle with multi-rate sampling and limited bandwidth.
Purpose of the Study:
- To develop an effective set-membership filtering strategy for multi-rate complex networks under communication constraints.
- To enhance filtering performance by proposing a novel mixed compensation method.
Main Methods:
- Utilized a weighted try-once-discard scheduling protocol to manage communication load.
- Designed a mixed compensation dependent filter based on a new compensatory measurement.
- Established sufficient conditions for the filtering error system to satisfy a specific constraint.
Main Results:
- A novel mixed compensation method was proposed to generate more accurate compensatory measurements.
- A new algorithm was developed to optimize the ellipsoid by minimizing the constraint matrix.
- The validity of the developed filter was demonstrated through an illustrative example.
Conclusions:
- The proposed set-membership filtering approach effectively addresses communication constraints in multi-rate complex networks.
- The mixed compensation method and optimized ellipsoid algorithm enhance filtering performance and accuracy.
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