.png){kind=icon}
.png){kind=icon}
Return
Sampled-Data-Based Event-Triggered Fuzzy Control for PDE Systems Under Cyberattacks
.png){kind=icon}
PRE
AI
DOI：10.1109/TFUZZ.2021.3092200.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This article presents a new sampled-data-based event-triggered pointwise security controller by pointwise measurements for partial differential equation (PDE) systems under stochastic cyberattacks. First, according to the Takagi-Sugeno fuzzy model, the considered nonlinear system is reconstructed and an event-triggered pointwise fuzzy controller is proposed with pointwise measurements. Moreover, networked control systems are introduced to improve the transmission convenience; however, two deception cyberattacks with different characteristics are brought into PDE systems for the first time. In addition, based on novel Lyapunov-Krasovskii functionals, some relaxed conditions to assure system's exponential stability are established. Finally, the effectiveness and practicability of the designed controller are demonstrated by numerical and application examples.
Keywords:
Security
Aerospace electronics
PD control
Control systems
Actuators
Fuzzy control
Symmetric matrices
Event-triggered security control
PDE systems
pointwise measurements and pointwise fuzzy control
relaxed stability condition
stochastic cyberattacks
Journal
IF:
11.9
Papers:
5.0K
Citations:
2.9W