Distributed recursive filtering for stochastic systems under uniform quantizations and deception attacks through sensor networks

By Derui Ding, Zidong Wang, D.W.C. Ho, Guoliang Wei. at - Automatisierungstechnik, 2017

396 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/258ca93e9bf70c2b63ef2a1a7097a42d72c26179

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

• A Survey on Model-Based Distributed Control and Filtering for Industrial Cyber-Physical Systems (2019, methodology): “Besides, according to the well-known gradient descent, a recursive algorithm is designed in [24] to handle a distributed filtering issue over sensor networks subject to deception attacks and a sufficient condition is derived to check the stability of proposed algorithm.”
• Secure State Estimation and Control of Cyber-Physical Systems: A Survey (2021, background): “In [16], a distributed filter with double gains is designed, which can be regarded as”
• Networked control systems: a survey of trends and techniques (2020, methodology): “By employing the secondorder Bessel-Legendre inequality [37] to bound the integral”
• A Set-Membership Approach to Event-Triggered Filtering for General Nonlinear Systems Over Sensor Networks (2020, methodology): “In addition, two recursive Kalman-type distributed filtering algorithms have been proposed, respectively, in [25] for linear time-varying systems by using the send-on-delta concept [29] and in [12] for linear time-delayed systems with both deception attacks and uniform quantizations.”
• Distributed Event-Triggered Estimation Over Sensor Networks: A Survey (2020, background): “1) Bounded Error Covariance: For system (1) with multiplicative-type Gaussian white noise, the state estimation error covariance [36], [64], [77], [78] of estimator i is”
• Resilient Control Design Based on a Sampled-Data Model for a Class of Networked Control Systems Under Denial-of-Service Attacks (2019, background): “Attacks in an NCS can be roughly categorized as [27]: 1) denial-of-service (DoS) attacks; 2) replay attacks; and 3) deception attacks [28].”