Pages that link to "Item:Q646428"

The following pages link to Recursive maximum likelihood parameter estimation for state space systems using polynomial chaos theory (Q646428):

Displaying 7 items.

• Maximum likelihood recursive state estimation using the expectation maximization algorithm (Q2165982) (← links)
• The filtering based maximum likelihood recursive least squares estimation for multiple-input single-output systems (Q2289158) (← links)
• Maximum likelihood Newton recursive and the Newton iterative estimation algorithms for Hammerstein CARAR systems (Q2436166) (← links)
• Parameter estimation for a multivariable state space system with \(d\)-step state-delay (Q2436802) (← links)
• Weighted parameter estimation for Hammerstein nonlinear ARX systems (Q2697716) (← links)
• The use of polynomial chaos for parameter identification from measurements in nonlinear dynamical systems (Q2803447) (← links)
• Maximum likelihood extended gradient‐based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity (Q6068317) (← links)