Open AccessObserver‐based MPC for NCS with actuator saturation and DoS attacks via interval type‐2 T–S fuzzy model
Author(s) -
Liu Fucai,
Wang Cancan,
Geng Qing
Publication year - 2020
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2020.0334
Subject(s) - control theory (sociology) , model predictive control , computer science , denial of service attack , observer (physics) , network packet , interval (graph theory) , controller (irrigation) , mathematics , control (management) , artificial intelligence , computer network , physics , quantum mechanics , combinatorics , the internet , world wide web , agronomy , biology
This study addresses anobserver‐based model predictive control (MPC) algorithm for a networked control system (NCS) under denial of service (DoS) attacks and actuator saturation via an interval type‐2 Takagi–Sugeno (IT2 T–S) fuzzy model. With few studies undertaking the cyber security problems in the research of MPC algorithm, this study considers the data transmission problem when DoS attacks occur. Under DoS attacks, signals in the communication networks will be interfered. The probability of error‐free packet reception depends on signal‐to‐interference‐plus‐noise ratio of the wireless transmission networks. In order to reduce the on‐line computation, an off‐line fuzzy observer is devised to estimate the system states. Meanwhile, an on‐line MPC algorithm is proposed to minimise the performance objective function and obtain the secure model predictive controller gain. Besides, the recursive feasibility is ensured by refreshing the bound of estimation error. Finally, illustrative examples certificate the effectiveness of the presented method.