Robust State Estimation in Networked Control Systems under Data Loss and Delays: A Switched Lyapunov Function based Approach

This paper proposes a robust observer strategy for networked control systems affected by time-varying delays and data loss. Using a switched Lyapunov function based approach, the observer not only reduces the impact of delays by one sampling period but also compensates for data loss from the sensor to the controller by providing state estimates even when data is unavailable, enabling continuous control signal computation. Furthermore, the design preserves the separation principle, allowing independent design of observer and controller while maintaining stability. Simulation results demonstrate the effectiveness and robustness of the proposed approach in handling both delays and data loss.

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Publication Details

Published
2025-06-24
DOI
https://doi.org/10.23919/ecc65951.2025.11187207
Citations
1
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
1.21
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article

Robust State Estimation in Networked Control Systems under Data Loss and Delays: A Switched Lyapunov Function based Approach

Martin Horn, Katarina Stanojevic, Martin Steinberger
1 citations
Stability and Control of Uncertain Systems
1.21
article

Robust State Estimation in Networked Control Systems under Data Loss and Delays: A Switched Lyapunov Function based Approach

Martin Horn, Katarina Stanojevic, Martin Steinberger
article en
1 citations

Abstract

This paper proposes a robust observer strategy for networked control systems affected by time-varying delays and data loss. Using a switched Lyapunov function based approach, the observer not only reduces the impact of delays by one sampling period but also compensates for data loss from the sensor to the controller by providing state estimates even when data is unavailable, enabling continuous control signal computation. Furthermore, the design preserves the separation principle, allowing independent design of observer and controller while maintaining stability. Simulation results demonstrate the effectiveness and robustness of the proposed approach in handling both delays and data loss.

Graz University of Technology (AT)
Openalex Percentile: Top 16%
Stability and Control of Uncertain Systems
1.21
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