Pages that link to "Item:Q781027"
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The following pages link to Data-driven predictive control of Hammerstein-Wiener systems based on subspace identification (Q781027):
Displaying 14 items.
- Dynamic modeling, predictive control and performance monitoring. A data-driven subspace approach (Q925205) (← links)
- Adaptive predictive control: a data-driven closed-loop subspace identification approach (Q1725169) (← links)
- A novel learning algorithm of the neuro-fuzzy based Hammerstein-Wiener model corrupted by process noise (Q1996646) (← links)
- Offset-free state-space nonlinear predictive control for Wiener systems (Q1999114) (← links)
- Nonlinear system identification using fractional Hammerstein-Wiener models (Q2296833) (← links)
- A data-driven subspace predictive control method for air-cooled data center thermal modelling and optimization (Q2694152) (← links)
- A data-driven bilinear predictive controller design based on subspace method (Q3018576) (← links)
- An <i>H</i><sub>∞</sub> approach to data‐driven fault estimation, and isolation for Hammerstein‐Wiener systems (Q6069275) (← links)
- Constrained nonlinear model predictive control of pH value in wet flue gas desulfurization process (Q6078824) (← links)
- Parameter estimation of multiple‐input single‐output Hammerstein controlled autoregressive system based on improved adaptive moment estimation algorithm (Q6154590) (← links)
- Separation identification approach for the <scp>Hammerstein‐Wiener</scp> nonlinear systems with process noise using correlation analysis (Q6154708) (← links)
- Recursive least squares estimation methods for a class of nonlinear systems based on non-uniform sampling (Q6494672) (← links)
- Parameters estimation for the Hammerstein-Wiener models with colored noise based on hybrid signals (Q6558276) (← links)
- Parameter identification of fractional-order Wiener system based on FF-ESG and GI algorithms (Q6583463) (← links)
