Pages that link to "Item:Q3684009"

The following pages link to Least squares parameter estimation algorithms for non-linear systems (Q3684009):

Displaying 29 items.

• Least squares and maximum likelihood estimation of non-linear systems (Q375044) (← links)
• Parameter estimation for nonlinear dynamical adjustment models (Q652885) (← links)
• Nonlocal sensitivity analysis, automatic derivative evaluation, and sequential nonlinear estimation (Q1107245) (← links)
• Adaptive control of nonlinear dynamic systems using \(\theta\)-adaptive neural networks (Q1129706) (← links)
• Nonlinearity tests for bilinear systems (Q1196872) (← links)
• Estimation of parameters in nonlinear problems (Q1264391) (← links)
• Least-squares parameter estimation algorithm for a class of input nonlinear systems (Q1760800) (← links)
• Least-squares LTI approximation of nonlinear systems and quasistationarity analysis (Q1883121) (← links)
• Identification of models for chaotic systems from noisy data: implications for performance and nonlinear filtering (Q1893285) (← links)
• Combined state and least squares parameter estimation algorithms for dynamic systems (Q1991337) (← links)
• Parameter estimation for grey system models: a nonlinear least squares perspective (Q2219588) (← links)
• Parameter estimation methods for nonlinear systems (Q2350129) (← links)
• Implementation of algorithms for tuning parameters in regularized least squares problems in system identification (Q2356683) (← links)
• A recursive algorithm for nonlinear least-squares problems (Q2475618) (← links)
• On the convergence of the generalized linear least squares algorithm (Q2568626) (← links)
• Classical, smoothed and filtered least squares parameter estimation of non-linear industrial processes (Q3328417) (← links)
• Improved parameter estimates for non-linear dynamical models using a bootstrap method (Q3644823) (← links)
• Identification of non-linear output-affine systems using an orthogonal least-squares algorithm (Q3823443) (← links)
• Representations of non-linear systems: the NARMAX model (Q3829400) (← links)
• Parameter identification and convergence analysis based on the least-squares method for a class of non-linear systems Part 1. SISO case (Q3970203) (← links)
• Parameter estimation algorithms for bilinear and non-linear systems using Walsh functions—recursive approach (Q4005223) (← links)
• Non‐linear adaptive control via laguerre expansion of volterra kernels (Q4293131) (← links)
• Identification of continuous time nonlinear systems using delayed state variable filters (Q4306406) (← links)
• A bootstrap method for structure detection of NARMAX models (Q4474753) (← links)
• Strong consistency and convergence rate of parameter identification for bilinear systems (Q4876765) (← links)
• Smoothing data with local instabilities for the identification of chaotic systems (Q4876776) (← links)
• Multiobjective parameter estimation for non-linear systems: affine information and least-squares formulation (Q5758312) (← links)
• Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy data (Q6099491) (← links)
• Adaptive tracking control under quantized observations and observation uncertainty with unbounded variance (Q6583332) (← links)