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Zonotopic set-membership state estimation for multirate systems with dynamic event-triggered mechanisms
Qi Li1, Yufu Zhi1, Hailong Tan2
1School of Information Science and Technology, Hangzhou Normal University, Hangzhou 311121, China.
ISA Transactions
|August 8, 2022
Summary
This study introduces a dynamic event-triggered approach for state estimation in networked systems, reducing data transmissions. The method ensures accurate state bounding despite disturbances and noise.
Area of Science:
- Control Systems Engineering
- Networked Systems Analysis
- State Estimation Theory
Background:
- Networked systems face communication constraints.
- Accurate state estimation is crucial for system control.
- Event-triggered mechanisms aim to reduce data transmission load.
Purpose of the Study:
- To develop a dynamic event-triggered set-membership state estimation method.
- To reduce communication frequency in multirate networked systems.
- To bound system states under unknown disturbances and noise.
Main Methods:
- A dynamic event-triggered transmission mechanism is proposed.
- A zonotopic outer approximation set is constructed to bound system states.
- A prediction-update-correction method is employed for state estimation.
- Minimization of zonotope size using a correlation matrix is performed.
Main Results:
- The proposed method effectively reduces sensor data transmission frequency.
- The zonotopic estimation guarantees enclosure of all possible system states.
- Estimation performance is analyzed and shown to be effective.
- A condition for boundedness of the zonotope size is established.
Conclusions:
- The dynamic event-triggered set-membership state estimation is effective for multirate networked systems.
- The method conserves communication resources while maintaining estimation accuracy.
- The approach provides guaranteed state bounding under uncertainties.
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