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Event-triggered H∞ filter design for Markovian jump systems with quantization
H Wang, D Zhang, R Lu - Nonlinear Analysis: Hybrid Systems, 2018 - Elsevier
The problem of event-triggered H∞ filter design for Markov jump systems with output
quantization is investigated in this paper. A dynamic event-triggered communication scheme …
quantization is investigated in this paper. A dynamic event-triggered communication scheme …
Adaptive event‐triggered dissipative filter design for semi‐Markov jump systems under hybrid network attacks
This article investigates the adaptive event‐triggered dissipative filter design for semi‐
Markov jump systems under hybrid network attacks, in which hybrid network attacks consist …
Markov jump systems under hybrid network attacks, in which hybrid network attacks consist …
Extended dissipativity and event-triggered synchronization for T–S fuzzy Markovian jum** delayed stochastic neural networks with leakage delays via fault-tolerant …
This paper concentrates on the extended dissipativity and event-triggered synchronization
for T–S fuzzy Markovian jum** delayed stochastic neural networks with leakage delays …
for T–S fuzzy Markovian jum** delayed stochastic neural networks with leakage delays …
Event-triggered state estimation for Markovian jum** impulsive neural networks with interval time-varying delays
This paper investigates the event-triggered state estimation problem of Markovian jum**
impulsive neural networks with interval time-varying delays. The purpose is to design a state …
impulsive neural networks with interval time-varying delays. The purpose is to design a state …
Finite-time state estimation for nonlinear systems based on event-triggered mechanism
Y Tong, D Tong, Q Chen, W Zhou - Circuits, Systems, and Signal …, 2020 - Springer
In this paper, the finite-time state estimation problem is studied for nonlinear systems. For
reducing the waste of resources which is caused by data transmission, an event-triggered …
reducing the waste of resources which is caused by data transmission, an event-triggered …
Event-triggered dynamic output feedback control for networked Markovian jump systems with partly unknown transition rates
S Pan, J Zhou, Z Ye - Mathematics and Computers in Simulation, 2021 - Elsevier
This paper addresses the problem of event-triggered dynamic output feedback control for
uncertain Markovian jump systems with partly unknown transition rates. An event-triggered …
uncertain Markovian jump systems with partly unknown transition rates. An event-triggered …
Event-based security control for interconnected systems with Markovian switching topologies
Y Tan, Q Zhang, X Cheng, X **e - Circuits, Systems, and Signal …, 2023 - Springer
This article considers the event-based security control problem for an interconnected system
with Markovian switching topologies, where the Markovian process governs the switching of …
with Markovian switching topologies, where the Markovian process governs the switching of …
Event Triggered Finite Time Boundedness of Uncertain Markov Jump Neural Networks with Distributed Time Varying Delays
This paper is concerned with the problem of event triggered finite time H_ ∞ H∞
boundedness of uncertain Markov jump neural networks with distributed time varying …
boundedness of uncertain Markov jump neural networks with distributed time varying …
Mixed H∞ and passive event‐triggered control for Markovian jump systems with sensor saturation under cyber‐attacks
T Li, W Wang, W Chen - Asian Journal of Control, 2022 - Wiley Online Library
This paper addresses the mixed H∞ and passive event‐triggered control problem for a
class of Markovian jump systems subject to sensor saturation and cyber‐attacks. By taking …
class of Markovian jump systems subject to sensor saturation and cyber‐attacks. By taking …
Decentralized event-triggered stability analysis of neutral-type BAM neural networks with Markovian jump parameters and mixed time varying delays
This paper investigates decentralized event-triggered stability analysis of neutral-type BAM
neural networks with Markovian jump parameters and mixed time varying delays. We apply …
neural networks with Markovian jump parameters and mixed time varying delays. We apply …