Pages that link to "Item:Q1932689"
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The following pages link to Input design in worst-case system identification with quantized measurements (Q1932689):
Displaying 14 items.
- Adaptive tracking of a class of first-order systems with binary-valued observations and fixed thresholds (Q394374) (← links)
- Robust distributed maximum likelihood estimation with dependent quantized data (Q463811) (← links)
- Identification of Wiener systems with quantized inputs and binary-valued output observations (Q518332) (← links)
- Asymptotically efficient identification of FIR systems with quantized observations and general quantized inputs (Q895126) (← links)
- Set-membership errors-in-variables identification of MIMO linear systems (Q1640709) (← links)
- A new kernel-based approach to system identification with quantized output data (Q1679846) (← links)
- FIR systems identification under quantized output observations and a large class of persistently exciting quantized inputs (Q1697664) (← links)
- Input design in worst-case system identification with quantized measurements (Q1932689) (← links)
- On the optimal worst-case experiment design for constrained linear systems (Q2342465) (← links)
- Recursive algorithms for parameter estimation with adaptive quantizer (Q2342771) (← links)
- Fixed-order FIR approximation of linear systems from quantized input and output data (Q2437783) (← links)
- Space and time complexities and sensor threshold selection in quantized identification (Q2518965) (← links)
- A linear programming approach to online set membership parameter estimation for linear regression models (Q5346515) (← links)
- Set membership state estimation for discrete-time linear systems with binary sensor measurements (Q6537352) (← links)
