A sampled-data stabilisation analysis on memristive BAM neural networks for memductance function

Cites Work

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Passivity analysis of memristive neural networks with different memductance functions
Wirtinger's inequality and Lyapunov-based sampled-data stabilization
LMI criteria on exponential stability of BAM neural networks with both time-varying delays and general activation functions
Synchronization of fuzzy bidirectional associative memory neural networks with various time delays
Input-to-state stability analysis for memristive BAM neural networks with variable time delays
Dynamic evolution evoked by external inputs in memristor-based wavelet neural networks with different memductance functions
Synchronization of memristive BAM neural networks with leakage delay and additive time-varying delay components via sampled-data control
Synchronization of a class of memristive stochastic bidirectional associative memory neural networks with mixed time-varying delays via sampled-data control
Novel results on global stability analysis for multiple time-delayed BAM neural networks under parameter uncertainties
Fixed-time synchronization of memristor-based BAM neural networks with time-varying discrete delay
Switching event-triggered control for global stabilization of delayed memristive neural networks: an exponential attenuation scheme
Non-fragile synchronization of memristive BAM networks with random feedback gain fluctuations
New insights on stability of sampled-data systems with time-delay
LMI-based results on exponential stability of BAM-type neural networks with leakage and both time-varying delays: a non-fragile state estimation approach
Exponential and fixed‐time stabilization of memristive neural networks with mixed delays
Stability conditions concerning neutral-type BAM neural networks with infinite distributed delay
Interval stability and interval stabilization of linear stochastic systems with time‐varying delay

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