Two identification methods for dual-rate sampled-data nonlinear output-error systems
From MaRDI portal
Publication:1718153
DOI10.1155/2014/329437zbMath1407.93370OpenAlexW2167199841WikidataQ59064324 ScholiaQ59064324MaRDI QIDQ1718153
Publication date: 8 February 2019
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2014/329437
Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12)
Related Items
Cites Work
- Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling
- Several gradient parameter estimation algorithms for dual-rate sampled systems
- Recursive least-squares estimation for Hammerstein nonlinear systems with nonuniform sampling
- An efficient hierarchical identification method for general dual-rate sampled-data systems
- Robust mixed control of networked control systems with random time delays in both forward and backward communication links
- Least squares based and gradient based iterative identification for Wiener nonlinear systems
- Hierarchical gradient based iterative parameter estimation algorithm for multivariable output error moving average systems
- Bias compensation methods for stochastic systems with colored noise
- Hierarchical least-squares based iterative identification for multivariable systems with moving average noises
- Gradient based and least squares based iterative algorithms for matrix equations \(AXB + CX^{T}D = F\)
- Auxiliary model based multi-innovation algorithms for multivariable nonlinear systems
- Unbiased identification of a class of multi-input single-output systems with correlated disturbances using bias compensation methods
- Parameter estimation with scarce measurements
- Combined parameter and output estimation of dual-rate systems using an auxiliary model
- Iterative solutions to matrix equations of the form \(A_{i}XB_{i}=F_{i}\)
- Performance analysis of multi-innovation gradient type identification methods
- Auxiliary model-based least-squares identification methods for Hammerstein output-error systems
- Multi-innovation least squares identification methods based on the auxiliary model for MISO systems
- Performance analysis of stochastic gradient algorithms under weak conditions
- Identification for multirate multi-input systems using the multi-innovation identification theory
- Gradient based iterative solutions for general linear matrix equations
- Modeling and identification of systems with backlash
- Convergence of stochastic gradient estimation algorithm for multivariable ARX-like systems
- Transformations between some special matrices
- Auxiliary model-based RELS and MI-ELS algorithm for Hammerstein OEMA systems
- Self-tuning control based on multi-innovation stochastic gradient parameter estimation
- Reconstruction of continuous-time systems from their non-uniformly sampled discrete-time systems
- Auxiliary model based multi-innovation extended stochastic gradient parameter estimation with colored measurement noises
- Multi-innovation stochastic gradient algorithm for multiple-input single-output systems using the auxiliary model
- Two-stage least squares based iterative estimation algorithm for CARARMA system modeling
- Parameter estimation for Hammerstein CARARMA systems based on the Newton iteration
- Multi-innovation stochastic gradient algorithms for dual-rate sampled systems with preload nonlinearity
- Hierarchical gradient-based identification of multivariable discrete-time systems
- Maximum likelihood least squares identification method for input nonlinear finite impulse response moving average systems
- Multi-innovation extended stochastic gradient algorithm and its performance analysis
- Combined state and least squares parameter estimation algorithms for dynamic systems
- Parameter identification of systems with preload nonlinearities based on the finite impulse response model and negative gradient search
- Least squares estimation for a class of non-uniformly sampled systems based on the hierarchical identification principle
- Gradient based estimation algorithm for Hammerstein systems with saturation and dead-zone nonlinearities
- Maximum likelihood stochastic gradient estimation for Hammerstein systems with colored noise based on the key term separation technique
- Gradient-based identification methods for Hammerstein nonlinear ARMAX models
- Multistage least squares based iterative estimation for feedback nonlinear systems with moving average noises using the hierarchical identification principle
- Least squares algorithm for an input nonlinear system with a dynamic subspace state space model
- Maximum likelihood Newton recursive and the Newton iterative estimation algorithms for Hammerstein CARAR systems
- Gradient-based parameter estimation for input nonlinear systems with ARMA noises based on the auxiliary model
- Iterative solutions of the generalized Sylvester matrix equations by using the hierarchical identification principle
- Convergence analysis of estimation algorithms for dual-rate stochastic systems
- Iterative least-squares solutions of coupled sylvester matrix equations
- Data filtering based recursive least squares algorithm for Hammerstein systems using the key-term separation principle
- Identification of Hammerstein nonlinear ARMAX systems
- Least-squares parameter estimation for systems with irregularly missing data
- On Iterative Solutions of General Coupled Matrix Equations
- Kalman filter-based identification for systems with randomly missing measurements in a network environment
- Performance analysis of estimation algorithms of nonstationary ARMA processes
- Performance bounds of forgetting factor least-squares algorithms for time-varying systems with finite measurement data
- Hierarchical identification of lifted state-space models for general dual-rate systems
- Least squares based self‐tuning control of dual‐rate systems
- Identification of dual-rate systems based on finite impulse response models
- Performance analysis of the auxiliary model-based least-squares identification algorithm for one-step state-delay systems
- Bias compensation‐based parameter estimation for output error moving average systems
- Output Feedback Stabilization of Networked Control Systems With Random Delays Modeled by Markov Chains
- Partially Coupled Stochastic Gradient Identification Methods for Non-Uniformly Sampled Systems
- Modeling and parameter identification of systems with multisegment piecewise-linear characteristics
- Hierarchical least squares identification methods for multivariable systems
- Gradient based iterative algorithms for solving a class of matrix equations
- Parameter estimation of dual-rate stochastic systems by using an output error method
- Hierarchical Least Squares Identification for Linear SISO Systems With Dual-Rate Sampled-Data
- H∞Control for Discrete-Time Markov Jump Systems With Uncertain Transition Probabilities
- Consistency of the extended gradient identification algorithm for multi-input multi-output systems with moving average noises
- Adaptive Digital Control of Hammerstein Nonlinear Systems with Limited Output Sampling