Security sliding mode control for T-S fuzzy systems under attack probability-dependent dynamic round-robin protocol

DOI10.1080/00207721.2023.2301037zbMATH Open1537.93134MaRDI QIDQ6544814

Yugang Niu, Author name not available (Why is that?), Yekai Yang

Publication date: 27 May 2024

Published in: International Journal of Systems Science. Principles and Applications of Systems and Integration (Search for Journal in Brave)

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Variable structure systems (93B12) Networked control (93B70)

Cites Work

• Actuator and sensor fault estimation for discrete-time switched T-S fuzzy systems with time delay
• Event-triggered sliding mode tracking control of autonomous surface vehicles
• Optimal DoS attack scheduling for multi-sensor remote state estimation over interference channels
• An event-triggered round-robin protocol to dynamic output feedback control for nonhomogeneous Markov switching systems
• On finite-horizon \(H_\infty\) state estimation for discrete-time delayed memristive neural networks under stochastic communication protocol
• Design of new fuzzy sliding mode controller based on parallel distributed compensation controller and using the scalar \textit{sign} function
• Sliding mode control design under multiple nodes round-robin-like protocol and packet length-dependent lossy network
• Sliding mode control for multi-agent systems under a time-varying topology
• Necessary and Sufficient Stabilizing Conditions for Networked Control Systems With Simultaneous Transmission Delay and Packet Dropout
• The safety region-based model predictive control for discrete-time systems under deception attacks
• An adaptive torus‐event‐based controller design for networked T‐S fuzzy systems under deception attacks
• Distributed recursive filtering for multi-rate uniform sampling systems with packet losses in sensor networks
• Sliding mode control based on multi-node transmission hybrid scheduling for Markovian jump systems with constrained bandwidth
• Probabilistic-constrained control of interval type-2 T-S fuzzy systems under the multi-node round-robin scheduling protocol
• Memory‐event‐trigger‐based output tracking control for networked switched interval type‐2 fuzzy systems against deception attacks

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