Pages that link to "Item:Q2409451"
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The following pages link to LPV system identification under noise corrupted scheduling and output signal observations (Q2409451):
Displaying 10 items.
- A bias-correction method for closed-loop identification of linear parameter-varying systems (Q680507) (← links)
- Direct learning of LPV controllers from data (Q905785) (← links)
- Refined instrumental variable methods for identification of LPV Box-Jenkins models (Q976259) (← links)
- From structurally independent local LTI models to LPV model (Q1680926) (← links)
- Dynamic output feedback robust MPC with input saturation based on zonotopic set-membership estimation (Q1793281) (← links)
- Direct identification of continuous-time LPV state-space models via an integral architecture (Q2151932) (← links)
- An iterative state-space identification method with data correlation for MIMO systems with measurement noise (Q2155782) (← links)
- The maximum correntropy criterion-based robust hierarchical estimation algorithm for linear parameter-varying systems with non-Gaussian noise (Q6040451) (← links)
- Identification of hybrid and linear parameter‐varying models via piecewise affine regression using mixed integer programming (Q6054829) (← links)
- Nonlinear continuous-time system identification by linearization around a time-varying setpoint (Q6646905) (← links)
