Pages that link to "Item:Q2803447"

The following pages link to The use of polynomial chaos for parameter identification from measurements in nonlinear dynamical systems (Q2803447):

Displaying 8 items.

• Recursive maximum likelihood parameter estimation for state space systems using polynomial chaos theory (Q646428) (← links)
• Identification of high-dimension polynomial chaos expansions with random coefficients for non-Gaussian tensor-valued random fields using partial and limited experimental data (Q658826) (← links)
• Identification and prediction of stochastic dynamical systems in a polynomial chaos basis (Q817364) (← links)
• A review on computational intelligence for identification of nonlinear dynamical systems (Q2023111) (← links)
• Multivariate polynomial regression for identification of chaotic time series (Q3592332) (← links)
• Identification of Parameters of Nonlinear Dynamical Systems Simulated by Volterra Polynomials (Q4558301) (← links)
• MODELING EXPERIMENTAL DATA WITH POLYNOMIALS CHAOS (Q5050866) (← links)
• Simultaneous state-input-stiffness estimation for nonlinear Duffing oscillators avoiding Jacobian linearization (Q6537990) (← links)