Event-triggered state estimation for discrete-time multidelayed neural networks with stochastic parameters and incomplete measurements

B Shen, Z Wang, H Qiao - IEEE Transactions on Neural …, 2016 - ieeexplore.ieee.org
In this paper, the event-triggered state estimation problem is investigated for a class of
discrete-time multidelayed neural networks with stochastic parameters and incomplete …

Fractional order fixed-time nonsingular terminal sliding mode synchronization and control of fractional order chaotic systems

J Ni, L Liu, C Liu, X Hu - Nonlinear dynamics, 2017 - Springer
This paper presents fractional order fixed-time nonsingular terminal sliding mode control for
stabilization and synchronization of fractional order chaotic systems with uncertainties and …

Exponential synchronization of neural networks with time-varying delays via dynamic intermittent output feedback control

ZM Zhang, Y He, M Wu… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper addresses the exponential synchronization problem for neural networks with time-
varying delays. First, a novel controller is presented by combining intermittent control with …

Finite-time synchronization control for uncertain Markov jump neural networks with input constraints

H Shen, JH Park, ZG Wu - Nonlinear Dynamics, 2014 - Springer
This paper is concerned with the problem of finite-time synchronization control for uncertain
Markov jump neural networks in the presence of constraints on the control input amplitude …

Pinning sampled-data synchronization of coupled inertial neural networks with reaction-diffusion terms and time-varying delays

S Dharani, R Rakkiyappan, JH Park - Neurocomputing, 2017 - Elsevier
The intention of this paper is to explore the problem of pinning sampled-data
synchronization of coupled reaction-diffusion neural networks with added inertia and time …

Event-triggered H∞ state estimation for discrete-time delayed switched stochastic neural networks with persistent dwell-time switching regularities and sensor …

J Suo, N Li, Q Li - Neurocomputing, 2021 - Elsevier
In this paper, the H∞ state estimation problem is considered for a class of the discrete-time
delayed switched stochastic neural networks with sensor saturations. In order to improve the …

Some novel approaches on state estimation of delayed neural networks

K Shi, X Liu, Y Tang, H Zhu, S Zhong - Information Sciences, 2016 - Elsevier
This paper studies the issue of state estimation for a class of neural networks (NNs) with time-
varying delay. A novel Lyapunov-Krasovskii functional (LKF) is constructed, where triple …

Adaptive sliding mode synchronization for a class of fractional-order chaotic systems with disturbance

S Shao, M Chen, X Yan - Nonlinear Dynamics, 2016 - Springer
This paper studies the fractional-order disturbance observer (FODO)-based adaptive sliding
mode synchronization control for a class of fractional-order chaotic systems with unknown …

Finite-time H∞ control for a class of Markovian jump systems with mode-dependent time-varying delays via new Lyapunov functionals

J Cheng, H Zhu, S Zhong, Y Zeng, X Dong - ISA transactions, 2013 - Elsevier
This paper is concerned with the problem of finite-time H∞ control for a class of Markovian
jump systems with mode-dependent time-varying delays via new Lyapunov functionals. In …

Design of extended dissipativity state estimation for generalized neural networks with mixed time-varying delay signals

R Manivannan, R Samidurai, J Cao, A Alsaedi… - Information …, 2018 - Elsevier
This paper investigates the issue of extended dissipativity state estimation of generalized
neural networks (GNNs) with mixed time-varying delay signals. The integral terms in the time …