Estimation, filtering and fusion for networked systems with network-induced phenomena: New progress and prospects

J Hu, Z Wang, D Chen, FE Alsaadi - Information Fusion, 2016 - Elsevier
In this paper, some recent advances on the estimation, filtering and fusion for networked
systems are reviewed. Firstly, the network-induced phenomena under consideration are …

A variance-constrained approach to recursive state estimation for time-varying complex networks with missing measurements

J Hu, Z Wang, S Liu, H Gao - Automatica, 2016 - Elsevier
In this paper, the recursive state estimation problem is investigated for an array of discrete
time-varying coupled stochastic complex networks with missing measurements. A set of …

Generalized state estimation for Markovian coupled networks under round-robin protocol and redundant channels

H Shen, S Huo, J Cao, T Huang - IEEE transactions on …, 2018 - ieeexplore.ieee.org
In this paper, the problem of generalized state estimation for an array of Markovian coupled
networks under the round-Robin protocol (RRP) and redundant channels is investigated by …

Projective synchronization of fractional-order memristor-based neural networks

HB Bao, JD Cao - Neural Networks, 2015 - Elsevier
This paper investigates the projective synchronization of fractional-order memristor-based
neural networks. Sufficient conditions are derived in the sense of Caputo's fractional …

Hybrid-driven finite-time H∞ sampling synchronization control for coupling memory complex networks with stochastic cyber attacks

K Shi, S Zhong, Y Tang, J Cheng - Neurocomputing, 2020 - Elsevier
This paper proposes a new hybrid-driven (HD) sampling control strategy to investigate the
finite-time (FT) H∞ synchronization issue for complex networks with stochastic cyber attacks …

Global stability of complex-valued recurrent neural networks with time-delays

J Hu, J Wang - IEEE Transactions on Neural Networks and …, 2012 - ieeexplore.ieee.org
Since the last decade, several complex-valued neural networks have been developed and
applied in various research areas. As an extension of real-valued recurrent neural networks …

Nonfragile dissipative synchronization for Markovian memristive neural networks: A gain-scheduled control scheme

H Shen, T Wang, J Cao, G Lu, Y Song… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, the dissipative synchronization control problem for Markovian jump memristive
neural networks (MNNs) is addressed with fully considering the time-varying delays and the …

Exponential synchronization of linearly coupled neural networks with impulsive disturbances

J Lu, DWC Ho, J Cao, J Kurths - IEEE Transactions on neural …, 2011 - ieeexplore.ieee.org
This brief investigates globally exponential synchronization for linearly coupled neural
networks (NNs) with time-varying delay and impulsive disturbances. Since the impulsive …

Robust sliding mode control for discrete stochastic systems with mixed time delays, randomly occurring uncertainties, and randomly occurring nonlinearities

J Hu, Z Wang, H Gao… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
This paper investigates the robust sliding mode control (SMC) problem for a class of
uncertain nonlinear stochastic systems with mixed time delays. Both the sectorlike …

Exponential synchronization of coupled stochastic memristor-based neural networks with time-varying probabilistic delay coupling and impulsive delay

H Bao, JH Park, J Cao - IEEE Transactions on Neural Networks …, 2015 - ieeexplore.ieee.org
This paper deals with the exponential synchronization of coupled stochastic memristor-
based neural networks with probabilistic time-varying delay coupling and time-varying …