Pages that link to "Item:Q1879597"
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The following pages link to Iterative learning of model reference adaptive controller for uncertain nonlinear systems with only output measurement (Q1879597):
Displaying 14 items.
- A synthetic approach for robust constrained iterative learning control of piecewise affine batch processes (Q694805) (← links)
- An output-recurrent-neural-network-based iterative learning control for unknown nonlinear dynamic plants (Q763174) (← links)
- Limit or limit superior? observations on the convergence of some iterative learning control schemes (Q1049127) (← links)
- An output-based adaptive iterative learning controller for high relative degree uncertain linear systems. (Q1426279) (← links)
- Adaptive ILC for a class of discrete-time systems with iteration-varying trajectory and random initial condition (Q2440826) (← links)
- Iterative learning controller design based on feedback control (Q2766049) (← links)
- Robust adaptive learning control for nonlinear systems with extended matching unstructured uncertainties (Q2857088) (← links)
- Decentralized adaptive fuzzy neural iterative learning control for nonaffine nonlinear interconnected systems (Q2895264) (← links)
- An ILC scheme for a class of nonlinear continuous-time systems with time-iteration-varying parameters subject to second-order internal model (Q2895267) (← links)
- Model reference adaptive iterative learning control for linear systems (Q3418156) (← links)
- Learning‐based iterative modular adaptive control for nonlinear systems (Q5222720) (← links)
- Adaptive iterative learning control for discrete‐time nonlinear systems with multiple iteration‐varying high‐order internal models (Q6071514) (← links)
- A unified adaptive control approach of nonlinear continuous non‐parameterized systems with asymmetric control gains for trajectory tracking in different domains (Q6190200) (← links)
- Iterative learning of output feedback stabilising controller for a class of uncertain nonlinear systems with external disturbances (Q6601029) (← links)
