Data-driven based predictive control for networked nonlinear systems with energy-limited DoS attacks

This paper focuses on the security issue of tracking control for a class of networked nonlinear systems under energy-limited Denial-of-Service (DoS) attacks. An event-triggered mechanism is considered into the system to save communication resources. By using the model-free adaptive control (MFAC) al...

Full description

Saved in:
Bibliographic Details
Published in2017 IEEE Conference on Energy Internet and Energy System Integration (EI2) pp. 1 - 5
Main Authors Tianbao Yang, Dong Yue, Zihao Cheng
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2017
Subjects
Algorithm design and analysis
data-driven based predictive control
DoS attacks
event-triggering communication
model-free adaptive control algorithm
Networked control systems
networked control systems (NCSs)
Nonlinear systems
Prediction algorithms
Predictive control
Silicon
Online AccessGet full text

Cover

More Information
Summary:This paper focuses on the security issue of tracking control for a class of networked nonlinear systems under energy-limited Denial-of-Service (DoS) attacks. An event-triggered mechanism is considered into the system to save communication resources. By using the model-free adaptive control (MFAC) algorithm, we introduced a data-driven based predictive control method to solve the packets loss caused by DoS attacks. The given simulation shown the method we proposed was effective in deal with the energy-limited DoS attacks and reduce the communication burden.
DOI:10.1109/EI2.2017.8245471