[go: up one dir, main page]

Xu, 2016 - Google Patents

The damping iterative parameter identification method for dynamical systems based on the sine signal measurement

Xu, 2016

Document ID
11729908573939923931
Author
Xu L
Publication year
Publication venue
Signal Processing

External Links

Snippet

The sine signal is used widely in the signal processing, communication, system analysis and system identification. This paper proposes a damping parameter estimation algorithm for dynamical systems based on the sine frequency response. The measured data are collected …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G06F17/5009—Computer-aided design using simulation

Similar Documents

Publication Publication Date Title
Xu The damping iterative parameter identification method for dynamical systems based on the sine signal measurement
Rotondo et al. Automated generation and comparison of Takagi–Sugeno and polytopic quasi-LPV models
Lu et al. Concept drift detection via competence models
Polifke Black-box system identification for reduced order model construction
Dehghan et al. The numerical solution of Fokker–Planck equation with radial basis functions (RBFs) based on the meshless technique of Kansa׳ s approach and Galerkin method
Xie et al. Recursive least squares parameter estimation for non-uniformly sampled systems based on the data filtering
WO2011029015A3 (en) Method and system for empirical modeling of time-varying, parameter-varying, and nonlinear systems via iterative linear subspace computation
Epshteyn et al. High-order difference potentials methods for 1D elliptic type models
Li et al. Parameter estimation of Hammerstein–Wiener nonlinear system with noise using special test signals
Haasdonk et al. Kernel methods for center manifold approximation and a weak data-based version of the center manifold theorem
RU2016127609A (en) METHOD AND DEVICE FOR DETERMINING SIGNALS IN DATA
MX353404B (en) Systems and methods for optical fluid identification approximation and calibration.
Chakraborty et al. Assessment of polynomial correlated function expansion for high-fidelity structural reliability analysis
Potts et al. Fast ESPRIT algorithms based on partial singular value decompositions
Rincon et al. Numerical analysis and simulation for a nonlinear wave equation
Li et al. Relationship between sensitivity indices defined by variance-and covariance-based methods
CN105021210A (en) MEMS gyro random drift error processing method
Deng et al. Identifying the diffusion coefficient by optimization from the final observation
Cheng et al. Application of Rejection Sampling based methodology to variance based parametric sensitivity analysis
Peng et al. The parametric characteristic of bispectrum for nonlinear systems subjected to Gaussian input
Chaskalovic et al. Data mining and probabilistic models for error estimate analysis of finite element method
Merker et al. Numerical bifurcation analysis of the bipedal spring-mass model
Blum System identification of vehicle dynamics and road conditions using wireless sensors
Jiang et al. Multi-scale orthogonal basis method for nonlinear fractional equations with fractional integral boundary value conditions
Luo et al. ML estimation of transition probabilities for an unknown maneuvering emitter tracking