Pages that link to "Item:Q4540401"
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The following pages link to A discrete-time stochastic learning control algorithm (Q4540401):
Displaying 40 items.
- A comparison of compensation methods for random input data dropouts in networked iterative learning control system (Q667966) (← links)
- Iterative learning control of a multiagent system under random perturbations (Q827939) (← links)
- Stability analysis of discrete-time iterative learning control systems with interval uncertainty (Q883390) (← links)
- Stochastic stability of some classes of nonlinear 2D systems (Q1641949) (← links)
- Iterative learning control with extended state observer for telescope system (Q1666373) (← links)
- A new approach to feedback feed-forward iterative learning control with random packet dropouts (Q2008836) (← links)
- Repetitive process based stochastic iterative learning control design for linear dynamics (Q2173069) (← links)
- A two-dimensional approach to iterative learning control with randomly varying trial lengths (Q2200126) (← links)
- Iterative learning control design for discrete-time stochastic switched systems (Q2229529) (← links)
- Iterative learning control design based on state observer (Q2289046) (← links)
- Two updating schemes of iterative learning control for networked control systems with random data dropouts (Q2292946) (← links)
- Method to improve convergence performance of iterative learning control systems with bounded noise (Q2297404) (← links)
- ILC for networked nonlinear systems with unknown control direction through random lossy channel (Q2344402) (← links)
- Data-driven networked optimal iterative learning control for discrete linear time-varying systems with one-operation Bernoulli-type communication delays (Q2398800) (← links)
- Design of an iterative learning control law for a class of switched repetitive systems (Q2399063) (← links)
- Convergence of iterative learning control for SISO nonrepetitive systems subject to iteration-dependent uncertainties (Q2409341) (← links)
- Noise tolerant iterative learning control for a class of continuous-time systems (Q2456516) (← links)
- A learning algorithm for discrete-time stochastic control (Q2711577) (← links)
- An iterative learning control design approach for networked control systems with data dropouts (Q2798363) (← links)
- Convergence analysis of wireless remote iterative learning control systems with channel noise (Q2814036) (← links)
- Networked iterative learning control approach for nonlinear systems with random communication delay (Q2821419) (← links)
- A stochastic PID controller for a class of MIMO systems (Q2978070) (← links)
- Robust learning controller design for MIMO stochastic discrete-time systems: An H∞-based approach (Q3019218) (← links)
- Quasi-Newton-type optimized iterative learning control for discrete linear time invariant systems (Q3461688) (← links)
- A statistical analysis of certain iterative learning control algorithms (Q3542955) (← links)
- A stochastic iterative learning control algorithm with application to an induction motor (Q4474754) (← links)
- A controller design algorithm with learning property (Q4642792) (← links)
- Stochastic P-type/D-type iterative learning control algorithms (Q4709659) (← links)
- Iterative learning control for a class of uncertain nonlinear systems with current state feedback (Q5026874) (← links)
- A Q-Learning Algorithm for Discrete-Time Linear-Quadratic Control with Random Parameters of Unknown Distribution: Convergence and Stabilization (Q5093265) (← links)
- A proportional-derivative-double derivative controller for robot manipulators (Q5157938) (← links)
- Robust ILC with iteration-varying initial state shifts: a 2D approach (Q5265575) (← links)
- <i>H</i><sub>∞</sub>approach to monotonically convergent ILC for uncertain time-varying delay systems (Q5265592) (← links)
- Iterative learning control for networked stochastic systems with random packet losses (Q5266186) (← links)
- A Kiefer‐Wolfowitz Algorithm Based Iterative Learning Control for Hammerstein‐Wiener Systems (Q5417018) (← links)
- Approximate adjoint-based iterative learning control (Q5494516) (← links)
- An optimal filter for updated input of iterative learning controllers with multiplicative and additive noises (Q5865455) (← links)
- Adaptive iterative learning control for discrete‐time nonlinear systems with multiple iteration‐varying high‐order internal models (Q6071514) (← 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)
