H∞ asynchronous synchronisation control for Markovian coupled delayed neural networks with missing information

DOI10.1080/00207721.2021.1998719zbMath1490.93125OpenAlexW3214585185MaRDI QIDQ5073368

Hui Peng, Jiawen Lei, Yu Zhang, Ming Lin

Publication date: 6 May 2022

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2021.1998719

zbMATH Keywords

missing information\(H_\infty\) synchronisationasynchronous synchronisation controlMarkovian coupled neural networks

Mathematics Subject Classification ID

(H^infty)-control (93B36) Stochastic stability in control theory (93E15) Networked control (93B70)

Related Items (2)

Asynchronous dissipative stabilization for stochastic Markov-switching neural networks with completely- and incompletely-known transition rates ⋮ Fault detection problem for discrete‐time impulsive system using mixed dissipativity approach

Cites Work

• Asynchronous \(l_2-l_{\infty}\) filtering for discrete-time stochastic Markov jump systems with randomly occurred sensor nonlinearities
• Necessary and sufficient criteria for asynchronous stabilization of Markovian jump systems
• Asynchronous sliding mode control of Markovian jump systems with time-varying delays and partly accessible mode detection probabilities
• Asynchronous \(H_{\infty }\) control of switched delay systems with average dwell time
• Reliable asynchronous sampled-data filtering of T-S fuzzy uncertain delayed neural networks with stochastic switched topologies
• Finite-time synchronization of uncertain coupled switched neural networks under asynchronous switching
• Secure analysis of dynamic networks under pinning attacks against synchronization
• Asynchronous output feedback control of time-varying Markovian jump systems within a finite-time interval
• Synchronization of coupled neural networks with random coupling strengths and mixed probabilistic time-varying delays
• Distributed mode-dependent state estimation for semi-Markovian jumping neural networks via sampled data
• Asynchronous l₂ – l_∞ filtering of discrete-time impulsive switched systems with admissible edge-dependent average dwell time switching signal
• Reduced-order filtering for networks with Markovian jumping parameters and missing measurements

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