Resilient control of networked control systems under deception attacks: A memory‐event‐triggered communication scheme-Reference-Cited by-同舟云学术

Resilient control of networked control systems under deception attacks: A memory‐event‐triggered communication scheme

Published:2019-12-09 Issue:4 Volume:30 Page:1534-1548
ISSN:1049-8923
Container-title:International Journal of Robust and Nonlinear Control
language:en
Short-container-title:Int J Robust Nonlinear Control

Author:

Wang Kunyu¹²,Tian Engang¹³,Liu Jinliang⁴,Wei Linnan²,Yue Dong⁵

Affiliation:

1. School of Optical‐Electrical and Computer EngineeringUniversity of Shanghai for Science and Technology Shanghai China

2. School of Electrical and Automation EngineeringNanjing Normal University Nanjing China

3. College of Automation Electronic EngineeringQingdao University of Science and Technology Qingdao China

4. College of Information EngineeringNanjing University of Finance and Economics Nanjing China

5. Institute of Advanced TechnologyNanjing University of Posts and Telecommunications Nanjing China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rnc.4837

Reference52 articles.

1. Distributed Secondary Control for Active Power Sharing and Frequency Regulation in Islanded Microgrids Using an Event-Triggered Communication Mechanism

2. Consensus of Multiagent Systems With Nonlinear Dynamics Using an Integrated Sampled-Data-Based Event-Triggered Communication Scheme

3. Distributed control of nonlinear multiagent systems with unknown and nonidentical control directions via event‐triggered communication;Wang Y;IEEE Trans Cybern,2019

4. Optimal Persistent Monitoring Using Second-Order Agents With Physical Constraints

5. Network-based modelling and dynamic output feedback control for unmanned marine vehicles in network environments

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