Sampled-Data-Based Event-Triggered Fuzzy Control for PDE Systems Under Cyberattacks

被引:44
作者
Song, Xiaona [1 ]
Zhang, Qiyuan [1 ]
Song, Shuai [2 ]
Ahn, Choon Ki [3 ]
机构
[1] Henan Univ Sci & Technol, Sch Informat Engn, Luoyang 471023, Peoples R China
[2] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Peoples R China
[3] Korea Univ, Sch Elect Engn, Seoul 136701, South Korea
基金
新加坡国家研究基金会; 中国国家自然科学基金;
关键词
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; DISTRIBUTED-PARAMETER SYSTEMS; DESIGN; STABILITY; SUBJECT;
D O I
10.1109/TFUZZ.2021.3092200
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:2693 / 2705
页数:13
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