ISS control synthesis of T-S fuzzy systems with multiple transmission channels under denial of service
type: Item
instance of: scholarly article
title: ISS control synthesis of T-S fuzzy systems with multiple transmission channels under denial of service
zbMATH Open document ID: 1464.93064
author: Guangpu Wu
author: Guang-Hong Yang
author: Huimin Wang
published in: Journal of the Franklin Institute
publication date: 2021-05-26T00:00:00Z
Mathematics Subject Classification ID: 93D25
Mathematics Subject Classification ID: 93C42
Mathematics Subject Classification ID: 93B52
zbMATH DE Number: 7351313
zbMATH Keywords: input-to-state stability
zbMATH Keywords: Takagi-Sugeno fuzzy systems
zbMATH Keywords: denial-of-service attacks
zbMATH Keywords: output feedback controller
MaRDI profile type: Publication
full work available at URL: j.jfranklin.2021.02.014
OpenAlex ID: W3132169318
cites work: Fuzzy identification of systems and its applications to modeling and control
cites work: Local stability conditions for T-S fuzzy time-delay systems using a homogeneous polynomial approach
cites work: Controller synthesis for positive Takagi-Sugeno fuzzy systems under ℓ1performance
cites work: Design of output feedback controllers for Takagi-Sugeno fuzzy systems
cites work: Dynamic parallel distributed compensation for Takagi-Sugeno fuzzy systems: An LMI approach
cites work: Fuzzy dynamic output feedback control through nonlinear Takagi-Sugeno models
cites work: An Adaptive Control Architecture for Mitigating Sensor and Actuator Attacks in Cyber-Physical Systems
cites work: On the Performance Degradation of Cyber-Physical Systems Under Stealthy Integrity Attacks
cites work: Optimal Denial-of-Service Attack Scheduling With Energy Constraint
cites work: Q5375274
cites work: Safe and Secure Networked Control Systems under Denial-of-Service Attacks
cites work: Input-to-State Stabilizing Control Under Denial-of-Service
cites work: Stability analysis and design of fuzzy control systems
cites work: State estimate for fuzzy neural networks with random uncertainties based on sampled-data control
cites work: Improved stabilization criteria for fuzzy systems under variable sampling
cites work: Event-Triggered Quantized Control for Input-to-State Stabilization of Linear Systems With Distributed Output Sensors
cites work: Distributed Sensor Fault Diagnosis for a Network of Interconnected Cyberphysical Systems
DOI: 10.1016/J.JFRANKLIN.2021.02.014
description: scientific article; zbMATH DE number 7351313