Distributed subgradient method for multi‐agent optimization with quantized communication
This paper focuses on a distributed optimization problem associated with a time‐varying
multi‐agent network with quantized communication, where each agent has local access to …
multi‐agent network with quantized communication, where each agent has local access to …
Bogdanov–Takens bifurcation in a tri-neuron BAM neural network model with multiple delays
T Dong, X Liao - Nonlinear Dynamics, 2013 - Springer
In this paper, a tri-neuron BAM neural network model with multiple delays is considered. We
show that the connection topology of the network plays a fundamental role in classifying the …
show that the connection topology of the network plays a fundamental role in classifying the …
Non-fragile extended dissipative state estimation for delayed discrete-time neural networks: application to quadruple tank process model
G Nagamani, B Adhira, G Soundararajan - Nonlinear Dynamics, 2021 - Springer
This paper deals with the non-fragile state estimator design to study the robust extended
dissipativity criterion for a class of discrete-time neural networks (DNNs) involving …
dissipativity criterion for a class of discrete-time neural networks (DNNs) involving …
Codimension two bifurcation in a delayed neural network with unidirectional coupling
In this paper, a delayed neural network model with unidirectional coupling is considered.
Zero–Hopf bifurcation is studied by using the center manifold reduction and the normal form …
Zero–Hopf bifurcation is studied by using the center manifold reduction and the normal form …
Hopf–pitchfork bifurcation in an inertial two-neuron system with time delay
In this paper, we have considered a delayed differential equation modeling two-neuron
system with both inertial terms and time delay. By studying the distribution of the …
system with both inertial terms and time delay. By studying the distribution of the …
Robust extended dissipativity analysis for Markovian jump discrete-time delayed stochastic singular neural networks
G Nagamani, G Soundararajan… - Neural Computing and …, 2020 - Springer
This paper is concerned with the problem of extended dissipativity analysis for delayed
uncertain discrete-time singular neural networks (DTSNNs) having Markovian jump …
uncertain discrete-time singular neural networks (DTSNNs) having Markovian jump …
Quick noise-tolerant learning in a multi-layer memristive neural network
In this letter, a multi-layer memristive neural network in which memristors serve as memory
factor and impact factor is built for the binary images learning. Unlike the traditional artificial …
factor and impact factor is built for the binary images learning. Unlike the traditional artificial …
Codimension two bifurcation in a simple delayed neuron model
This paper reports a simple delayed neuron model. Bogdanov-Takens bifurcation is studied
by using the center manifold reduction and the normal form method for retarded functional …
by using the center manifold reduction and the normal form method for retarded functional …
A feedback neural network for solving convex quadratic bi-level programming problems
J Li, C Li, Z Wu, J Huang - Neural Computing and Applications, 2014 - Springer
In this paper, a feedback neural network model is proposed for solving a class of convex
quadratic bi-level programming problems based on the idea of successive approximation …
quadratic bi-level programming problems based on the idea of successive approximation …
Weak projective lag synchronization of neural networks with parameter mismatch
This paper studies projective lag synchronization of coupled neural networks with time delay
and parameter mismatch. An adaptive controller is designed to achieve weak projective lag …
and parameter mismatch. An adaptive controller is designed to achieve weak projective lag …