Fuzzy-based adaptive event-triggered control for nonlinear cyber-physical systems against deception attacks via a single parameter learning method
DOI10.1016/j.ins.2023.119948MaRDI QIDQ6179982
Hui-yan Zhang, Enrique Herrera-Viedma, Yongjie Tian, Ning Zhao
Publication date: 18 January 2024
Published in: Information Sciences (Search for Journal in Brave)
backsteppingadaptive fuzzy controldeception attacksdynamic event-triggered controlsingle parameter learning method
Fuzzy control/observation systems (93C42) Nonlinear systems in control theory (93C10) Control/observation systems involving computers (process control, etc.) (93C83) Adaptive control/observation systems (93C40) Discrete event control/observation systems (93C65) Networked control (93B70)
Cites Work
- Direct adaptive fuzzy control of nonlinear strict-feedback systems
- Resilient adaptive control of switched nonlinear cyber-physical systems under uncertain deception attacks
- Fuzzy adaptive secure tracking control against unknown false data injection attacks for uncertain nonlinear systems with input quantization
- Event-triggered adaptive neural network controller for uncertain nonlinear system
- Dynamic Triggering Mechanisms for Event-Triggered Control
- An Adaptive Control Architecture for Mitigating Sensor and Actuator Attacks in Cyber-Physical Systems
- Reachability Analysis for Safety Assurance of Cyber-Physical Systems Against Cyber Attacks
- Adaptive control of nonlinearly parameterized systems: the smooth feedback case
- Event-Triggered Adaptive Control for a Class of Uncertain Nonlinear Systems
This page was built for publication: Fuzzy-based adaptive event-triggered control for nonlinear cyber-physical systems against deception attacks via a single parameter learning method
