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Tracking Control Under Round-Robin Scheduling: Handling Impulsive Transmission Outliers
IEEE Transactions on Cybernetics
|October 21, 2021
Summary
This study introduces a new tracking controller for linear networked systems facing impulsive transmission outliers (ITOs) under round-Robin (RR) scheduling. The controller effectively removes outlier-corrupted signals, ensuring system stability and performance.
Area of Science:
- Control Engineering
- Networked Systems
- Signal Processing
Background:
- Linear networked systems face challenges from network-induced phenomena like scheduling protocols and transmission outliers.
- The round-Robin (RR) protocol and impulsive transmission outliers (ITOs) can degrade system performance and stability.
- Existing control methods may not adequately address the combined effects of RR scheduling and ITOs.
Purpose of the Study:
- To investigate the tracking control problem for linear networked systems under RR scheduling and ITOs.
- To develop a novel tracking controller robust to ITOs.
- To ensure the stability and performance of the tracking control system despite transmission anomalies.
Main Methods:
- Modeling ITOs with specific amplitude and interval length thresholds.
- Utilizing an outlier detection approach to identify ITO occurrences.
- Designing a parameter-dependent tracking controller to mitigate the impact of ITOs.
- Employing constrained optimization to determine controller gain matrices.
Main Results:
- Sufficient conditions are derived to guarantee the exponential ultimate boundedness of the tracking error.
- The proposed controller effectively removes signals contaminated by ITOs.
- Simulation results demonstrate the efficacy of the outlier-resistant tracking control scheme.
Conclusions:
- The developed outlier-resistant tracking control scheme effectively addresses the challenges posed by ITOs in linear networked systems under RR scheduling.
- The proposed controller ensures robust tracking performance and system stability.
- The method provides a practical solution for networked systems operating in noisy communication environments.
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