A brief review of neural networks based learning and control and their applications for robots
As an imitation of the biological nervous systems, neural networks (NNs), which have been
characterized as powerful learning tools, are employed in a wide range of applications, such …
characterized as powerful learning tools, are employed in a wide range of applications, such …
Robust passivity and stability analysis of uncertain complex-valued impulsive neural networks with time-varying delays
G Rajchakit, R Sriraman - Neural Processing Letters, 2021 - Springer
In this article, we investigate the robust passivity and stability analysis of uncertain complex-
valued impulsive neural network (UCVINN) models with time-varying delays. Many practical …
valued impulsive neural network (UCVINN) models with time-varying delays. Many practical …
Global Mittag–Leffler stability and stabilization analysis of fractional-order quaternion-valued memristive neural networks
G Rajchakit, P Chanthorn, P Kaewmesri, R Sriraman… - Mathematics, 2020 - mdpi.com
This paper studies the global Mittag–Leffler stability and stabilization analysis of fractional-
order quaternion-valued memristive neural networks (FOQVMNNs). The state feedback …
order quaternion-valued memristive neural networks (FOQVMNNs). The state feedback …
Stability analysis of quaternion-valued neural networks with both discrete and distributed delays
Z Tu, Y Zhao, N Ding, Y Feng, W Zhang - Applied Mathematics and …, 2019 - Elsevier
The existence, uniqueness and stability of the equilibrium of quaternion-valued neural
networks (QVNNs) with both discrete and distributed delays are investigated in this paper …
networks (QVNNs) with both discrete and distributed delays are investigated in this paper …
Global stability analysis of fractional-order quaternion-valued bidirectional associative memory neural networks
U Humphries, G Rajchakit, P Kaewmesri, P Chanthorn… - Mathematics, 2020 - mdpi.com
We study the global asymptotic stability problem with respect to the fractional-order
quaternion-valued bidirectional associative memory neural network (FQVBAMNN) models in …
quaternion-valued bidirectional associative memory neural network (FQVBAMNN) models in …
Existence, uniqueness and global stability of Clifford-valued neutral-type neural networks with time delays
In this paper, we analyze the global asymptotic stability and global exponential stability with
respect to the Clifford-valued neutral-type neural network (NN) models with time delays. By …
respect to the Clifford-valued neutral-type neural network (NN) models with time delays. By …
Robust stability of complex-valued stochastic neural networks with time-varying delays and parameter uncertainties
P Chanthorn, G Rajchakit, J Thipcha, C Emharuethai… - Mathematics, 2020 - mdpi.com
In practical applications, stochastic effects are normally viewed as the major sources that
lead to the system's unwilling behaviours when modelling real neural systems. As such, the …
lead to the system's unwilling behaviours when modelling real neural systems. As such, the …
Lagrange stability analysis for complex-valued neural networks with leakage delay and mixed time-varying delays
Q Song, H Shu, Z Zhao, Y Liu, FE Alsaadi - Neurocomputing, 2017 - Elsevier
This paper discusses the stability in Lagrange sense for complex-valued neural networks
with time-varying discrete delays and distributed delays as well as leakage delay. By …
with time-varying discrete delays and distributed delays as well as leakage delay. By …
New criteria for global stability of neutral-type Cohen–Grossberg neural networks with multiple delays
O Faydasicok - Neural Networks, 2020 - Elsevier
The significant contribution of this paper is the addressing the stability issue of neutral-type
Cohen–Grossberg neural networks possessing multiple time delays in the states of the …
Cohen–Grossberg neural networks possessing multiple time delays in the states of the …
A delay-dividing approach to robust stability of uncertain stochastic complex-valued hopfield delayed neural networks
P Chanthorn, G Rajchakit, U Humphries, P Kaewmesri… - Symmetry, 2020 - mdpi.com
In scientific disciplines and other engineering applications, most of the systems refer to
uncertainties, because when modeling physical systems the uncertain parameters are …
uncertainties, because when modeling physical systems the uncertain parameters are …