[HTML][HTML] An overview of filtering for sampled-data systems under communication constraints
The sampled-data systems have been extensively applied to practical engineering because
the digital signal shows great advantages in data transmission, storage and exchange. As a …
the digital signal shows great advantages in data transmission, storage and exchange. As a …
Sampled-data synchronization of stochastic Markovian jump neural networks with time-varying delay
G Chen, J **-Chen/publication/311481635_Finite-Time_and_Fixed-Time_Cluster_Synchronization_With_or_Without_Pinning_Control/links/5b51498245851507a7b201d7/Finite-Time-and-Fixed-Time-Cluster-Synchronization-With-or-Without-Pinning-Control.pdf" data-clk="hl=fr&sa=T&oi=gga&ct=gga&cd=3&d=9693898445262676127&ei=fsqvZ-mHNdmlieoP1IWikAo" data-clk-atid="n-CXhkalh4YJ" target="_blank">[PDF] researchgate.net
Finite-time and fixed-time cluster synchronization with or without pinning control
In this paper, the finite-time and fixed-time cluster synchronization problem for complex
networks with or without pinning control are discussed. Finite-time (or fixed-time) …
networks with or without pinning control are discussed. Finite-time (or fixed-time) …
Neural network-based passive filtering for delayed neutral-type semi-Markovian jump systems
This paper investigates the problem of exponential passive filtering for a class of stochastic
neutral-type neural networks with both semi-Markovian jump parameters and mixed time …
neutral-type neural networks with both semi-Markovian jump parameters and mixed time …
Extended dissipative synchronization for semi-Markov jump complex dynamic networks via memory sampled-data control scheme
YA Liu, J **a, B Meng, X Song, H Shen - Journal of the Franklin Institute, 2020 - Elsevier
The work is concerned with the synchronization issue of complex dynamic networks subject
to the semi-Markov process. The semi-Markov process is used to describe the switching …
to the semi-Markov process. The semi-Markov process is used to describe the switching …
Reliable mixed passive and filtering for semi‐Markov jump systems with randomly occurring uncertainties and sensor failures
This paper investigates the reliable mixed passive and filtering problem for uncertain semi‐
Markov jump delayed systems subject to sensor failures. The parameter uncertainties are …
Markov jump delayed systems subject to sensor failures. The parameter uncertainties are …
Synchronization of delayed memristive neural networks: Robust analysis approach
X Yang, DWC Ho - IEEE transactions on cybernetics, 2015 - ieeexplore.ieee.org
This paper considers the asymptotic and finite-time synchronization of drive-response
memristive neural networks (MNNs) with time-varying delays. It is known that the parameters …
memristive neural networks (MNNs) with time-varying delays. It is known that the parameters …
A flexible terminal approach to sampled-data exponentially synchronization of Markovian neural networks with time-varying delayed signals
This paper investigates the problem of sampled-data (SD) exponentially synchronization for
a class of Markovian neural networks with time-varying delayed signals. Based on the …
a class of Markovian neural networks with time-varying delayed signals. Based on the …
Decentralized adaptive sliding mode control of large-scale semi-Markovian jump interconnected systems with dead-zone input
B Jiang, C Gao - IEEE Transactions on Automatic Control, 2021 - ieeexplore.ieee.org
In this article, a decentralized adaptive sliding mode control scheme is proposed for
stabilization of large-scale semi-Markovian jump interconnected systems, in which dead …
stabilization of large-scale semi-Markovian jump interconnected systems, in which dead …