Exponential input-to-state stability of stochastic neural networks with mixed delays
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-016-0609-9
Abstract: This paper is concerned with the exponential input-to-state stability for a class of stochastic neural networks with mixed delays. Based on a new Lyapunov-Krasovskii functional, Itô’s formula, Dynkin’s formula and some inequality techniques, some novel… read more here.
Keywords: exponential input; neural networks; stochastic neural; state stability ... See more keywords
Extended dissipative state estimation of delayed stochastic neural networks
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.03.106
Abstract: Abstract In this article, extended dissipative state estimation (EDSE) criteria is established for stochastic neural networks with variable delay states. The EDSE criteria includes passivity state estimation, dissipativity state estimation, H∞ state estimation and L… read more here.
Keywords: state; neural networks; stochastic neural; extended dissipative ... See more keywords
Square-Mean Pseudo Almost Periodic Solutions for Quaternion-Valued Stochastic Neural Networks with Time-Varying Delays
Sign Up to like & getrecommendations! Published in 2021 at "Mathematical Problems in Engineering"
DOI: 10.1155/2021/6679326
Abstract: In this paper, we are concerned with a class of quaternion-valued stochastic neural networks with time-varying delays. Firstly, we cannot explicitly decompose the quaternion-valued stochastic systems into equivalent real-valued stochastic systems; by using the Banach… read more here.
Keywords: stochastic neural; neural networks; quaternion valued; valued stochastic ... See more keywords
Improved Results on State Estimation for Uncertain Takagi-Sugeno Fuzzy Stochastic Neural Networks with Time-Varying Delays
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Nonlinear Sciences and Numerical Simulation"
DOI: 10.1515/ijnsns-2016-0125
Abstract: Abstract The delay-dependent state estimation problem for Takagi-Sugeno fuzzy stochastic neural networks with time-varying delays is considered in this paper. We aim to design state estimators to estimate the network states such that the dynamics… read more here.
Keywords: state; stochastic neural; neural networks; fuzzy stochastic ... See more keywords