Pages that link to "Item:Q3082654"
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The following pages link to Identification of multi-input systems based on correlation techniques (Q3082654):
Displaying 15 items.
- Bias compensation based partially coupled recursive least squares identification algorithm with forgetting factors for MIMO systems: application to PMSMs (Q308271) (← links)
- Performance analysis of the AM-SG parameter estimation for multivariable systems (Q628916) (← links)
- Identification of multi-input systems: variance analysis and input design issues (Q856500) (← links)
- Two-stage least squares based iterative estimation algorithm for CARARMA system modeling (Q1667765) (← links)
- Direct synthesis signal sets for multi-input system identification (Q1729136) (← links)
- Correlation analysis algorithm-based multiple-input single-output Wiener model with output noise (Q2280271) (← links)
- Parameter identification of multi-input, single-output systems based on FIR models and least squares principle (Q2479192) (← links)
- A comparison of three correlation techniques for system identification† (Q3315416) (← links)
- Identification of systems with cyclostationary input and correlated input/output measurement noise (Q3487256) (← links)
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- Non-uniform sampling strategies for digital control (Q5172519) (← links)
- Instrumental variables for nonlinearity recovering in block-oriented systems driven by correlated signals (Q5265596) (← links)
- Identification of Multiple-Input Systems with Highly Coupled Inputs: Application to EMG Prediction from Multiple Intracortical Electrodes (Q5473186) (← links)
