Pages that link to "Item:Q2259588"
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The following pages link to Wavelet basis expansion-based Volterra kernel function identification through multilevel excitations (Q2259588):
Displaying 19 items.
- Identifying odd/even-order binary kernel slices for a nonlinear system using inverse repeat m-sequences (Q308810) (← links)
- Parametric characteristic of the random vibration response of nonlinear systems (Q315080) (← links)
- Identification and adaptive control of history dependent unsteady aerodynamics for a flapping insect wing (Q345554) (← links)
- Volterra kernel identification of MIMO aeroelastic system through multiresolution and multiwavelets (Q424930) (← links)
- Calculation of the Volterra kernels of nonlinear dynamic systems using an artificial neural network (Q1337251) (← links)
- A novel damage detection approach by using Volterra kernel functions based analysis (Q1660543) (← links)
- Parameter estimation for nonlinear Volterra systems by using the multi-innovation identification theory and tensor decomposition (Q2071236) (← links)
- Multi-variable Volterra kernels identification using time-delay neural networks: application to unsteady aerodynamic loading (Q2296983) (← links)
- Wavelet basis expansion-based spatio-temporal Volterra kernels identification for nonlinear distributed parameter systems (Q2353778) (← links)
- Multiwavelet constructions and Volterra kernel identification (Q2432307) (← links)
- Volterra series arising from the discrete Schrödinger wave equation in \(L^{2}[a, b]\) space (Q2479119) (← links)
- Nonlinear system identification using deterministic multilevel sequences (Q2493303) (← links)
- Kernel-based methods for Volterra series identification (Q2665176) (← links)
- Construction of an integral model by the example of wind turbine dynamics (Q2806460) (← links)
- Volterra series identification and its applications in structural identification of nonlinear block-oriented systems (Q5026785) (← links)
- Identification of Integral Models of Nonlinear Multi-input Dynamic Systems Using the Product Integration Method (Q5054417) (← links)
- Non‐Parametric Identification Method of Volterra Kernels for Nonlinear Systems Excited by Multitone Signal (Q5420180) (← links)
- Application of Volterra and Wiener theories for nonlinear parameter estimation in a rotor-bearing system (Q5931188) (← links)
- Modeling nonlinear systems using the tensor network B‐spline and the multi‐innovation identification theory (Q6069269) (← links)