A Dynamic Event-Triggered Transmission Scheme for Distributed Set-Membership Estimation Over Wireless Sensor...

Area of Science:

• Control Systems Engineering
• Signal Processing
• Wireless Sensor Networks

Background:

• Distributed set-membership estimation is crucial for systems with unknown-but-bounded (UBB) noise.
• Wireless sensor networks face resource constraints, necessitating efficient data transmission.
• Existing static event-triggered schemes can lead to excessive data packet transmission.

Purpose of the Study:

• To develop a novel dynamic event-triggered transmission scheme (ETS) for distributed estimation.
• To ensure accurate set-membership estimation in discrete-time linear time-varying systems with UBB noise.
• To optimize estimator parameters and reduce data communication in sensor networks.

Main Methods:

• A new dynamic event-triggered transmission scheme (ETS) is proposed to schedule sensor measurements.
• A criterion for designing event-triggered set-membership estimators is derived to guarantee state containment.
• A recursive convex optimization algorithm is used to determine optimal ellipsoids and estimator gains.

Main Results:

• The dynamic ETS achieves larger average inter-event times, significantly reducing transmitted data packets.
• The proposed method ensures the system's true state remains within each sensor's bounding ellipsoidal set.
• The approach is effective for nonlinear systems satisfying sector constraints, as demonstrated by an example.

Conclusions:

• The developed dynamic ETS enhances efficiency in distributed set-membership estimation over wireless sensor networks.
• The approach provides robust state estimation under UBB process and measurement noise.
• This method offers significant advantages in terms of data reduction and estimation accuracy.