Robust control of a class of uncertain nonlinear systems
Systems & Control Letters
CMAC neural networks for control of nonlinear dynamical systems: structure, stability and passivity
Automatica (Journal of IFAC)
Dissipative Systems Analysis and Control: Theory and Applications
Dissipative Systems Analysis and Control: Theory and Applications
Global Robust Exponential Stability of Interval Neural Networks with Delays
Neural Processing Letters
On Robust Exponential Periodicity of Interval Neural Networks with Delays
Neural Processing Letters
Global Robust Exponential Stability of Interval General BAM Neural Network with Delays
Neural Processing Letters
Object recognition using multilayer Hopfield neural network
IEEE Transactions on Image Processing
Robust stability for interval Hopfield neural networks with time delay
IEEE Transactions on Neural Networks
Global stability for cellular neural networks with time delay
IEEE Transactions on Neural Networks
Some new results on system identification with dynamic neural networks
IEEE Transactions on Neural Networks
New passivity analysis for neural networks with discrete and distributed delays
IEEE Transactions on Neural Networks
Expert Systems with Applications: An International Journal
Computers & Mathematics with Applications
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This paper deals with the problem of passivity analysis for neural networks with time-varying delay, which is subject to norm-bounded time-varying parameter uncertainties. The activation functions are supposed to be bounded and globally Lipschitz continuous. Delay-dependent passivity condition is proposed by using the free-weighting matrix approach. These passivity conditions are obtained in terms of linear matrix inequalities, which can be investigated easily by using standard algorithms. Two illustrative examples are provided to demonstrate the effectiveness of the proposed criteria.