Pages that link to "Item:Q462394"

The following pages link to An efficient hierarchical identification method for general dual-rate sampled-data systems (Q462394):

Displaying 50 items.

• Multi-innovation stochastic gradient parameter and state estimation algorithm for dual-rate state-space systems with \(d\)-step time delay (Q2205280) (← links)
• Recursive least squares parameter estimation algorithm for dual-rate sampled-data nonlinear systems (Q2259606) (← links)
• Recursive and iterative least squares parameter estimation algorithms for observability canonical state space systems (Q2263663) (← links)
• A recursive parametric estimation algorithm of multivariable nonlinear systems described by Hammerstein mathematical models (Q2282370) (← links)
• Identification of nonlinear cascade systems with output hysteresis based on the key term separation principle (Q2282652) (← links)
• Auxiliary model method for transfer function estimation from noisy input and output data (Q2282891) (← links)
• Performance assessment of cascade control system with non-Gaussian disturbance based on minimum entropy (Q2335059) (← links)
• Least-squares based and gradient based iterative parameter estimation algorithms for a class of linear-in-parameters multiple-input single-output output error systems (Q2336626) (← links)
• LSMR iterative method for general coupled matrix equations (Q2336938) (← links)
• Transforms from differential equations to difference equations and vice-versa applied to computer control systems (Q2345348) (← links)
• Several gradient-based iterative estimation algorithms for a class of nonlinear systems using the filtering technique (Q2346248) (← links)
• A finite iterative algorithm for Hermitian reflexive and skew-Hermitian solution groups of the general coupled linear matrix equations (Q2346489) (← links)
• Application of the Newton iteration algorithm to the parameter estimation for dynamical systems (Q2349538) (← links)
• Hierarchical recursive least squares algorithm for Hammerstein systems using the filtering method (Q2353884) (← links)
• A general multirate approach for direct closed-loop identification to the Nyquist frequency and beyond (Q2409424) (← links)
• A stochastic procedure to solve linear ill-posed problems (Q2979623) (← links)
• Hierarchical identification of lifted state-space models for general dual-rate systems (Q4590455) (← links)
• Maximum likelihood iterative identification approaches for multivariable equation-error moving average systems (Q5026619) (← links)
• Multistage for identification of Wiener time delay systems based on hierarchical gradient approach (Q5035719) (← links)
• Generalized Yule-walker and two-stage identification algorithms for dual-rate systems (Q5423431) (← links)
• Orthogonal least squares fitting with cylinders (Q5737902) (← links)
• Hierarchical maximum likelihood generalized extended stochastic gradient algorithms for bilinear‐in‐parameter systems (Q6053700) (← links)
• Accelerated identification algorithms for rational models based on the vector transformation (Q6053734) (← links)
• Filtering‐based multi‐innovation recursive identification methods for input nonlinear systems with piecewise‐linear nonlinearity based on the optimization criterion (Q6053746) (← links)
• Variational Bayesian identification for bilinear state space models with Markov‐switching time delays (Q6061263) (← links)
• Three‐stage forgetting factor stochastic gradient parameter estimation methods for a class of nonlinear systems (Q6061864) (← links)
• Modeling nonlinear systems using the tensor network B‐spline and the multi‐innovation identification theory (Q6069269) (← links)
• Auxiliary model‐based recursive least squares algorithm for two‐input single‐output Hammerstein output‐error moving average systems by using the hierarchical identification principle (Q6069288) (← links)
• Identification of an ARX model with impulse noise using a variable step size information gradient algorithm based on the kurtosis and minimum Renyi error entropy (Q6082676) (← links)
• Iterative parameter identification algorithms for the generalized time‐varying system with a measurable disturbance vector (Q6085140) (← links)
• A novel dynamic nonlinear partial least squares based on the cascade structure (Q6085143) (← links)
• Generalized continuous mixed <i>p</i>‐norm based sliding window algorithm for a bilinear system with impulsive noise (Q6090194) (← links)
• Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy data (Q6099491) (← links)
• Model transformation based distributed stochastic gradient algorithm for multivariate output-error systems (Q6109472) (← links)
• Exponential stability of sampled-data control systems with enhanced average sampling interval (Q6134180) (← links)
• A modified Levenberg-Marquardt method for solving system of nonlinear equations (Q6138331) (← links)
• Maximum likelihood interval-varying recursive least squares identification for output-error autoregressive systems with scarce measurements (Q6168998) (← links)
• Identification of dual‐rate sampled nonlinear systems based on the cycle reservoir with regular jumps network (Q6190375) (← links)
• Parameter and order estimation algorithms and convergence analysis for lithium‐ion batteries (Q6197896) (← links)
• Servo turntable adaptive step size momentum projection identification algorithm based on ARX model (Q6494978) (← links)
• Identification and U-control of a state-space system with time-delay (Q6495624) (← links)
• Auxiliary model-based multi-innovation recursive identification algorithms for an input nonlinear controlled autoregressive moving average system with variable-gain nonlinearity (Q6495656) (← links)
• Distributed identification based partially-coupled recursive generalized extended least squares algorithm for multivariate input-output-error systems with colored noises from observation data (Q6572457) (← links)
• Decomposition-based maximum likelihood gradient iterative algorithm for multivariate systems with colored noise (Q6577238) (← links)
• Multi-step-length gradient iterative method for separable nonlinear least squares problems. (Q6584506) (← links)
• Parameter identification based on prescribed estimation error performance for extended Wiener-Hammerstein systems (Q6598716) (← links)
• Maximum likelihood identification of dual-rate Hammerstein output-error moving average system (Q6598877) (← links)
• Bias compensation-based parameter and state estimation for a class of time-delay non-linear state-space models (Q6608960) (← links)
• Auxiliary model maximum likelihood gradient-based iterative identification for feedback nonlinear systems (Q6631782) (← links)
• Sliding window iterative identification for nonlinear closed-loop systems based on the maximum likelihood principle (Q6664769) (← links)