Add to ORKG[[abstract]]This paper examines a passivity analysis for a class of discrete-time recurrent neural networks DRNNs with norm-bounded time-varying parameter uncertainties and interval time-varying delay. The activation functions are assumed to be globally Lipschitz continuous. Based on an appropriate type of Lyapunov functional, sufficient passivity conditions for the DRNNs are derived in terms of a family of linear matrix inequalities LMIs . Two numerical examples are given to illustrate the effectiveness and applicability
This paper is concerned with the problem of passivity analysis for uncertain continuous-time neural ...
[[abstract]]This paper considers the problem of global robust delay-dependent stabilityfor uncertain...
[[abstract]]This paper considers the problem of global robust delay-dependent stabilityfor uncertain...
[[abstract]]This paper examines a passivity analysis for a class of discrete-time recurrent neural n...
[[abstract]]This paper examines a passivity analysis for a class of discrete-time recurrent neural n...
This paper examines a passivity analysis for a class of discrete-time recurrent neural networks (DRN...
[[abstract]]The current paper performs a global robust stability analysis for a class of discrete-ti...
Abstract: This paper establishes new delay-range-dependent, robust global stability for a class of d...
[[abstract]]This paper considers the problem of global robust delay-range-dependent stability for un...
[[abstract]]This paper deals with the problem of Passivity analysis for neural networks with multipl...
[[abstract]]This paper deals with the problem of Passivity analysis for neural networks with multipl...
[[abstract]]This paper considers the problem of robust delay- dependent Passivity analysis for time-...
In this brief, the problem of passivity analysis is investigated for a class of uncertain neural ne...
[[abstract]]This paper deals with the problem of passivity analysis for neural networks with time-va...
[[abstract]]This paper deals with the problem of passivity analysis for neural networks with time-va...
This paper is concerned with the problem of passivity analysis for uncertain continuous-time neural ...
[[abstract]]This paper considers the problem of global robust delay-dependent stabilityfor uncertain...
[[abstract]]This paper considers the problem of global robust delay-dependent stabilityfor uncertain...
[[abstract]]This paper examines a passivity analysis for a class of discrete-time recurrent neural n...
[[abstract]]This paper examines a passivity analysis for a class of discrete-time recurrent neural n...
This paper examines a passivity analysis for a class of discrete-time recurrent neural networks (DRN...
[[abstract]]The current paper performs a global robust stability analysis for a class of discrete-ti...
Abstract: This paper establishes new delay-range-dependent, robust global stability for a class of d...
[[abstract]]This paper considers the problem of global robust delay-range-dependent stability for un...
[[abstract]]This paper deals with the problem of Passivity analysis for neural networks with multipl...
[[abstract]]This paper deals with the problem of Passivity analysis for neural networks with multipl...
[[abstract]]This paper considers the problem of robust delay- dependent Passivity analysis for time-...
In this brief, the problem of passivity analysis is investigated for a class of uncertain neural ne...
[[abstract]]This paper deals with the problem of passivity analysis for neural networks with time-va...
[[abstract]]This paper deals with the problem of passivity analysis for neural networks with time-va...
This paper is concerned with the problem of passivity analysis for uncertain continuous-time neural ...
[[abstract]]This paper considers the problem of global robust delay-dependent stabilityfor uncertain...
[[abstract]]This paper considers the problem of global robust delay-dependent stabilityfor uncertain...