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Updated: Sep 10, 2025
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Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
Published on: May 8, 2021
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Output Feedback Synthesis for Networked Control Systems With Packet Dropouts and Multiple Probability Sampling
IEEE Transactions on Cybernetics
|August 19, 2025
Summary
This study addresses networked control system (NCS) stability challenges caused by communication issues. A novel method enhances controller design for systems with packet dropouts and variable sampling periods, improving performance and stability.
Area of Science:
- Control Engineering
- Networked Systems
- Signal Processing
Background:
- Networked control systems (NCSs) face performance degradation and stability issues due to communication imperfections like packet dropouts and variable sampling periods.
- Stochastic communication protocols (SCPs) are used to manage network bandwidth by limiting sensor transmissions.
Purpose of the Study:
- To develop an output feedback synthesis method for NCSs under stochastic communication protocols (SCPs).
- To address challenges including two-channel successive packet dropouts (SPDs) and multiple probability sampling periods (MPSPs).
Main Methods:
- Derived a discrete-time augmented model for the closed-loop NCS with a dynamic output feedback controller.
- Incorporated an equivalent sampling period representation for analysis between non-packet dropout instants.
- Established a general analysis model considering SCP effects and formulated controller design conditions using linear matrix inequalities (LMIs) via a two-step approach.
Main Results:
- Developed conditions for dynamic output feedback controller design using LMIs.
- The controller design dimension is independent of the upper bound of SPDs and the number of sampling periods, achieved through matrix decomposition.
- Demonstrated the effectiveness of the proposed method with an illustrative example.
Conclusions:
- The proposed method provides a robust approach for designing output feedback controllers in NCSs with complex communication constraints.
- The technique offers improved generality and scalability compared to existing methods for handling packet dropouts and multiple sampling rates.
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