Pages that link to "Item:Q2125313"

The following pages link to Model recovery for multi-input signal-output nonlinear systems based on the compressed sensing recovery theory (Q2125313):

Displaying 32 items.

• A CS recovery algorithm for model and time delay identification of MISO-FIR systems (Q1736708) (← links)
• Model recovery for Hammerstein systems using the hierarchical orthogonal matching pursuit method (Q1789694) (← links)
• Hierarchical multi-innovation stochastic gradient identification algorithm for estimating a bilinear state-space model with moving average noise (Q2087500) (← links)
• Multi-innovation gradient estimation algorithms and convergence analysis for feedback nonlinear equation-error moving average systems (Q2096137) (← links)
• Model recovery for Hammerstein systems using the auxiliary model based orthogonal matching pursuit method (Q2295093) (← links)
• Auxiliary model-based iterative estimation algorithms for nonlinear systems using the covariance matrix adaptation strategy (Q6040445) (← links)
• Modeling nonlinear systems using the tensor network B‐spline and the multi‐innovation identification theory (Q6069269) (← links)
• Identification of dual‐rate sampled errors‐in‐variables systems with time delays (Q6081006) (← links)
• Data filtering‐based parameter estimation algorithms for a class of nonlinear systems with colored noises (Q6081010) (← 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)
• An efficient conjugate gradient based Cholesky CMA‐ES estimation algorithm for nonlinear systems (Q6117622) (← links)
• Parameter estimation for a class of time‐varying systems with the invariant matrix (Q6149782) (← links)
• Identification of dual‐rate sampled nonlinear systems based on the cycle reservoir with regular jumps network (Q6190375) (← links)
• Time‐delay and parameter estimation for an ARX model based on copula theory and Armijo criterion and their applications in the modeling of the dynamics of the UAV (Q6194841) (← links)
• Highly‐computational hierarchical iterative identification methods for multiple‐input multiple‐output systems by using the auxiliary models (Q6194874) (← links)
• Parameter and order estimation algorithms and convergence analysis for lithium‐ion batteries (Q6197896) (← links)
• Convergence analysis of a synchronous gradient estimation scheme for time-varying parameter systems (Q6489254) (← links)
• Hierarchical recursive least squares parameter estimation methods for multiple-input multiple-output systems by using the auxiliary models (Q6493593) (← links)
• Distributed learning-based visual coverage control of multiple mobile aerial agents (Q6494989) (← links)
• Decomposition and composition modeling algorithms for control systems with colored noises (Q6498049) (← links)
• A filtering-based recursive extended least squares algorithm and its convergence for finite impulse response moving average systems (Q6545340) (← links)
• A coupled recursive least squares algorithm for multivariable systems and its computational amount analysis by using the coupling identification concept (Q6558256) (← links)
• Hierarchical estimation methods based on the penalty term for controlled autoregressive systems with colored noises (Q6560443) (← 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)
• Iterative gradient denoising algorithm for signal recovery using analysis-based implicit prior (Q6611327) (← links)
• Multiple-model state-space system identification with time delay using the EM algorithm (Q6611346) (← links)
• Auxiliary model maximum likelihood gradient-based iterative identification for feedback nonlinear systems (Q6631782) (← links)
• Adaptive multi-innovation gradient identification algorithms for a controlled autoregressive moving average model (Q6652767) (← links)
• Sliding window iterative identification for nonlinear closed-loop systems based on the maximum likelihood principle (Q6664769) (← links)
• Two improved generalized extended stochastic gradient algorithms for CARARMA systems (Q6669387) (← links)