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

By Xiaohua Ge, Qing-Long Han, Zidong Wang. IEEE Transactions on Cybernetics, 2019

415 citations recorded by the source corpus.

This paper is concerned with the distributed set-membership estimation for a discrete-time linear time-varying system over a resource-constrained wireless sensor network under the influence of unknown-but-bounded (UBB) process and measurement noise. Sensors collaborate among themselves by exchanging local measurements with only neighboring sensors in their sensing ranges. First, a new dynamic event-triggered transmission scheme (ETS) is developed to schedule the transmission of each sensor’s local measurement. In contrast with the majority of existing static ETSs, the newly proposed dynamic ETS can result in larger average interevent times and thus less totally released data packets. Second, a criterion for designing desired event-triggered set-membership estimators is derived such that the system’s true state always resides in each sensor’s bounding ellipsoidal estimation set regardless of the simultaneous presence of UBB process and measurement noise. Third, a recursive convex optimization algorithm is presented to determine optimal ellipsoids as well as the estimator gain parameters and the event triggering weighting matrix parameter. Furthermore, the proposed dynamic ETS is applied to address the distributed set-membership estimation problem for a discrete-time linear time-varying system with a nonlinearity satisfying a sector constraint. Finally, an illustrative example is given to show the effectiveness and advantage of the developed approach.

Subfields: Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/0aa197a96496d74fd17f9fa3d9427ae4badc664c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Qing-Long Han
2. Xiaohua Ge
3. Xianming Zhang
4. Derui Ding
5. Lei Ding
6. Zidong Wang
7. Chen Peng
8. Dong Yue

In Computer Networks and Communications

1. Qing-Long Han
2. Xianming Zhang
3. Xiaohua Ge
4. Lei Ding
5. Chen Peng
6. Derui Ding
7. Dong Yue
8. Zidong Wang

In Control and Systems Engineering

1. Qing-Long Han
2. Xianming Zhang
3. Xiaohua Ge
4. Derui Ding
5. Lei Ding
6. Chen Peng
7. Dong Yue
8. Zidong Wang

Citations in the corpus

• Dynamic Event-Triggered Distributed Coordination Control and its Applications: A Survey of Trends and Techniques (2020, background): “The motivation of considering a time-varying threshold parameter σ i in an ETSM has been well justified [18], [41], [42].”
• An Overview of Recent Advances in Event-Triggered Consensus of Multiagent Systems (2018, neutral): “1) Dynamic Event Triggering Mechanism: It has been shown in [129]–[131] that the proposed dynamic trig-”
• Networked control systems: a survey of trends and techniques (2020, background): “To relax the event-triggering condition (35), a dynamic ETS is proposed in [92].”
• A Survey on Model-Based Distributed Control and Filtering for Industrial Cyber-Physical Systems (2019, background): “Here, we refer the readers to [38]–[40] for some most cutting-edge researches on this topic.”
• A Distributed Dynamic Event-Triggered Control Approach to Consensus of Linear Multiagent Systems With Directed Networks (2020, background): “Significant extensions were further investigated in [25] and [26], where dynamic event-triggered transmission schemes were proposed for distributed set-membership estimation over wireless sensor networks and distributed formation control problem of a networked multiagent system, respectively.”
• Distributed Event-Triggered Estimation Over Sensor Networks: A Survey (2020, methodology): “In [24], such a DETM with ei = ỹi−yi, fi = ỹi, and i ≡ i is implemented to cope with the distributed set-membership filtering problem for a discrete linear time-varying system under the influence of the UBB process and measurement noise.”
• A Set-Membership Approach to Event-Triggered Filtering for General Nonlinear Systems Over Sensor Networks (2020, methodology): “As a result, considerable effort has been devoted to the investigation on the event-triggered distributed filter-ing issues in the past few years (see [12], [15], [18], [25], [28], [40], [41], and [44]).”
• Secure State Estimation and Control of Cyber-Physical Systems: A Survey (2021, background): “Typical scheduling protocols include, but are not limited to, event-triggered protocols [34], [37], [38], [98], random access protocol [103], and round-robin protocols [10], [17], [18], [104].”