Neural-Network-Based Security Control for T-S Fuzzy System With Cooperative Event-Triggered Mechanism
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2024.3407751
Abstract: In this article, we investigate the problem of security control for T-S fuzzy Markov jump systems (FMJSs) under actuator faults and deception attacks while introducing a cooperative event-triggered mechanism (CETM). In order to enhance the… read more here.
Keywords: security control; event triggered; control fuzzy; event ... See more keywords
Protocol-Based Sampled-Data Control for T-S Fuzzy Reaction–Diffusion Neural Networks
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2024.3511120
Abstract: This study explores the protocol-based sampled-data control for T-S fuzzy reaction–diffusion neural networks (RDNNs) with nonhomogeneous sojourn probabilities (NSPs). By incorporating a deterministic switching signal, a new framework of NSPs is developed to characterize the… read more here.
Keywords: sampled data; control fuzzy; protocol based; based sampled ... See more keywords
Tracking Control of Fuzzy Dynamic Output for Nonlinear Networked System with Packet Dropouts
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical Problems in Engineering"
DOI: 10.1155/2018/5149518
Abstract: The tracking control of dynamic output feedback is proposed for the fuzzy networked systems of the same category, in which each system is discrete-time nonlinear and is missing measurable data. In other words, the loss… read more here.
Keywords: dynamic output; system; tracking control; output ... See more keywords