Pages that link to "Item:Q2181043"
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The following pages link to \(H_\infty\) state estimation for discrete-time neural networks with distributed delays and randomly occurring uncertainties through fading channels (Q2181043):
Displaying 23 items.
- \(H_\infty\) state estimator design for discrete-time switched neural networks with multiple missing measurements and sojourn probabilities (Q285718) (← links)
- Fault detection for complex systems with channel fadings, randomly occurring multiple delays and infinitely distributed delays (Q1621154) (← links)
- Robust observer design by sign-stability for the monitoring of population systems (Q1730080) (← links)
- Network-based \(\mathcal{H}_\infty\) state estimation for neural networks using imperfect measurement (Q1740247) (← links)
- Distributed set-membership filtering for discrete-time systems subject to denial-of-service attacks and fading measurements: a zonotopic approach (Q2056273) (← links)
- Fusion estimation for stochastic uncertain systems with time-correlated rician fading channels (Q2125314) (← links)
- Reduced-order state estimation of delayed recurrent neural networks (Q2179288) (← links)
- Protocol-based state estimation for delayed Markovian jumping neural networks (Q2182899) (← links)
- UKF-based remote state estimation for discrete artificial neural networks with communication bandwidth constraints (Q2182900) (← links)
- Finite-time resilient \(H_\infty\) state estimation for discrete-time delayed neural networks under dynamic event-triggered mechanism (Q2185675) (← links)
- \(\ell_1\)-gain filter design of discrete-time positive neural networks with mixed delays (Q2185685) (← links)
- \( l_2- l_\infty\) state estimation for delayed artificial neural networks under high-rate communication channels with round-robin protocol (Q2185713) (← links)
- Delay-distribution-dependent \(H_\infty\) state estimation for delayed neural networks with \((x, v)\)-dependent noises and fading channels (Q2281691) (← links)
- A dynamically event-triggered approach to recursive filtering with censored measurements and parameter uncertainties (Q2328774) (← links)
- Finite-time \(\mathcal{H}_\infty\) asynchronous state estimation for discrete-time fuzzy Markov jump neural networks with uncertain measurements (Q2328814) (← links)
- State estimation for a class of artificial neural networks with stochastically corrupted measurements under round-robin protocol (Q2418136) (← links)
- \(H_\infty\) state estimation for multi-rate artificial neural networks with integral measurements: a switched system approach (Q2666875) (← links)
- state estimation with fading measurements, randomly varying nonlinearities and probabilistic distributed delays (Q3458660) (← links)
- Non-fragile $H_{\infty}$ state estimation for discrete-time complex networks with randomly occurring time-varying delays and channel fadings (Q4967033) (← links)
- Set-membership filtering for piecewise linear systems with censored measurements under Round-Robin protocol (Q5026772) (← links)
- Tobit Kalman filter with channel fading and dead-zone-like censoring (Q5028688) (← links)
- New optimization approach of state estimation for neural networks with mixed delays (Q6046624) (← links)
- Set-membership state estimation for delayed switched systems with fading measurement and interval uncertainty (Q6585854) (← links)