Pages that link to "Item:Q2390565"

The following pages link to On using least-squares updates without regressor filtering in identification and adaptive control of nonlinear systems (Q2390565):

Displaying 11 items.

• Redesign of adaptive observers for improved parameter identification in nonlinear systems (Q627095) (← links)
• A new least squares parameter estimator for nonlinear regression equations with relaxed excitation conditions and forgetting factor (Q2107614) (← links)
• Composite learning control of robotic systems: a least squares modulated approach (Q2288614) (← links)
• A continuous-time framework for least squares parameter estimation (Q2342463) (← links)
• Least change update methods for nonlinear systems with nondifferentiable terms^∗ (Q4293268) (← links)
• Distributed Adaptive Nonlinear Control with Fusion Least-Squares (Q5045003) (← links)
• An LMI framework for contraction-based nonlinear control design by derivatives of Gaussian process regression (Q6164037) (← links)
• Relaxed Excitation Conditions for Robust Identification and Adaptive Control Using Estimation with Memory (Q6180246) (← links)
• Extended state observer-based adaptive prescribed performance control for a class of nonlinear systems with full-state constraints and uncertainties (Q6543282) (← links)
• Least-squares model-reference adaptive control with high-order parameter tuners (Q6546815) (← links)
• A new method of parameter estimation and adaptive control of nonlinear systems with filterless least-squares (Q6583386) (← links)