Neural networks : the official journal of the International Neural Network Society
Apr 4, 2022
This paper mainly focuses on the lag H synchronization problem of coupled neural networks with multiple state or delayed state couplings. On one hand, by exploiting state feedback controller and Lyapunov functional, a criterion of lag H synchronizati...
Journal of biomedical informatics
Mar 25, 2022
In the present systematic review we identified and summarised current research activities in the field of time series forecasting and imputation with the help of generative adversarial networks (GANs). We differentiate between imputation which descri...
Sensors (Basel, Switzerland)
Mar 14, 2022
This paper focuses on the autonomous recovery maneuvers of an unknown underactuated practical catamaran, which returns to its initial position corresponding to the man overboard (MOB) by simply adjusting the rate of turn. This paper investigates the ...
IEEE transactions on cybernetics
Mar 11, 2022
A new finite-time dynamic allocation and control scheme is developed in this article for multiple agents tracking a moving target. Based on a competitive manner, the dynamic allocation is achieved by k-winners-take-all (k-WTA), which can be realized ...
IEEE transactions on cybernetics
Mar 11, 2022
This article is concerned with the event-triggered finite-time H estimator design for a class of discrete-time switched neural networks (SNNs) with mixed time delays and packet dropouts. To further reduce the data transmission, both the measured info...
Neural networks : the official journal of the International Neural Network Society
Mar 10, 2022
This paper studies the Lyapunov stability of nonlinear systems and the synchronization of complex neural networks in the framework of event-triggered delayed impulsive control (ETDIC), where the effect of time delays in impulses is fully considered. ...
International journal of neural systems
Mar 8, 2022
Nonlinear spiking neural P (NSNP) systems are a recently developed theoretical model, which is abstracted by nonlinear spiking mechanism of biological neurons. NSNP systems have a nonlinear structure and the potential to describe nonlinear dynamic sy...
Neural networks : the official journal of the International Neural Network Society
Mar 8, 2022
In this paper, an array of discrete-time coupled complex-valued neural networks (CVNNs) with random system parameters and time-varying delays are introduced. The stochastic fluctuations of system parameters, which are characterized by a set of random...
IEEE transactions on pattern analysis and machine intelligence
Mar 4, 2022
Incomplete time series classification (ITSC) is an important issue in time series analysis since temporal data often has missing values in practical applications. However, integrating imputation (replacing missing data) and classification within a mo...
IEEE transactions on neural networks and learning systems
Feb 28, 2022
This brief is concerned with the stability of a neural network with a time-varying delay using the quadratic function negative-definiteness approach reported recently. A more general reciprocally convex combination inequality is taken to introduce so...