Stability Analysis and State Estimation of Memristive Neural Networks (Paperback, 1)

1. Introduction. 2. H1 State Estimation for Discrete-Time Memristive Recurrent Neural Networks with Stochastic Time-Delays. 3. Event-Triggered H1 State Estimation for Delayed Stochastic Memristive Neural Networks with Missing Measurements: The Discrete Time Case. 4. H1 State Estimation for Discrete-Time Stochastic Memristive BAM Neural Networks with Mixed Time-Delays. 5. Stability Analysis for Discrete-Time Stochastic Memristive Neural Networks with Both Leakage and Probabilistic Delays. 6. Delay-Distribution-Dependent H1 State Estimation for Discrete-Time Memristive Neural Networks with Mixed Time-Delays and Fading Measurements. 7. On State Estimation for Discrete Time-Delayed Memristive Neural Networks under the WTOD Protocol: A Resilient Set-Membership Approach. 8. On Finite-Horizon H1 State Estimation for Discrete-Time Delayed Memristive Neural Networks under Stochastic Communication Protocol. 9. Resilient H1 State Estimation for Discrete-Time Stochastic Delayed Memristive Neural Networks: A Dynamic Event-Triggered Mechanism. 10. H1 and l2-l1 State Estimation for Delayed Memristive Neural Networks on Finite Horizon: The Round-Robin Protocol.