Pages that link to "Item:Q4566933"
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The following pages link to A Novel Markov Chain Based ILC Analysis for Linear Stochastic Systems Under General Data Dropouts Environments (Q4566933):
Displaying 21 items.
- A comparison of compensation methods for random input data dropouts in networked iterative learning control system (Q667966) (← links)
- Iterative learning control for linear delay systems with deterministic and random impulses (Q1661744) (← links)
- Two novel iterative learning control schemes for systems with randomly varying trial lengths (Q1680658) (← links)
- Iterative learning control for MIMO parabolic partial difference systems with time delay (Q1716043) (← links)
- Adaptive learning tracking for uncertain systems with partial structure information and varying trial lengths (Q1797167) (← links)
- A new approach to feedback feed-forward iterative learning control with random packet dropouts (Q2008836) (← links)
- A two-dimensional approach to iterative learning control with randomly varying trial lengths (Q2200126) (← links)
- Robust stability of stochastic systems with varying delays: application to RLC circuit with intermittent closed-loop (Q2246012) (← links)
- Adaptive iterative learning control for MIMO nonlinear systems performing iteration-varying tasks (Q2334153) (← links)
- Iterative learning control of multi-agent systems with random noises and measurement range limitations (Q5025905) (← links)
- A joint control protocol for a class of uncertain nonlinear systems with iteration-varying trial length (Q5026833) (← links)
- Convergence properties of two networked iterative learning control schemes for discrete-time systems with random packet dropout (Q5027788) (← links)
- Iterative Learning Control on Nonlinear Stochastic Networked Systems with Non-Differentiable Dynamics (Q5066707) (← links)
- Non-affine nonlinear stochastic systems with two ILC update laws under random data dropouts (Q5081384) (← links)
- An optimal filter for updated input of iterative learning controllers with multiplicative and additive noises (Q5865455) (← links)
- Finite time asymmetric bipartite consensus for multi‐agent systems based on iterative learning control (Q6060458) (← links)
- Optimal input filtering for networked iterative learning control systems with packet dropouts and channel noises in both sides (Q6085477) (← links)
- Optimal input filters for iterative learning control systems with additive noises, random delays, and data dropouts in both channels (Q6141486) (← links)
- Resilient iterative learning control for a class of discrete-time nonlinear systems under hybrid attacks (Q6580925) (← links)
- Method for predicting the lost input of iterative learning control systems over AWGN channels (Q6648855) (← links)
- Optimal state filters for networked iterative learning control systems with data losses and noises (Q6652263) (← links)
