Parameter estimation for nonlinear Volterra systems by using the multi-innovation identification theory and tensor decomposition
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Parameter estimation for nonlinear Volterra systems by using the multi-innovation identification theory and tensor decomposition
Authors
Keywords
-
Journal
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
Volume 359, Issue 2, Pages 1782-1802
Publisher
Elsevier BV
Online
2021-12-03
DOI
10.1016/j.jfranklin.2021.11.015
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Decomposition strategy-based hierarchical least mean square algorithm for control systems from the impulse responses
- (2021) Ling Xu et al. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
- Hierarchical recursive signal modeling for multifrequency signals based on discrete measured data
- (2021) Ling Xu et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- Maximum likelihood extended gradient‐based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity
- (2021) Ximei Liu et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Iterative identification methods for a class of bilinear systems by using the particle filtering technique
- (2021) Meihang Li et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- Convergence analysis of the modified adaptive extended Kalman filter for the parameter estimation of a brushless DC motor
- (2021) Jie Ding et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- A Recursive Parameter Estimation Algorithm for Modeling Signals with Multi-frequencies
- (2020) Ling Xu et al. CIRCUITS SYSTEMS AND SIGNAL PROCESSING
- Adaptive parameter estimation for a general dynamical system with unknown states
- (2020) Xiao Zhang et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Term Selection for a Class of Separable Nonlinear Models
- (2020) Min Gan et al. IEEE Transactions on Neural Networks and Learning Systems
- Hierarchical multi-innovation generalised extended stochastic gradient methods for multivariable equation-error autoregressive moving average systems
- (2020) Ling Xu et al. IET Control Theory and Applications
- Stochastic average gradient algorithm for multirate FIR models with varying time delays using self‐organizing maps
- (2020) Jing Chen et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- Separable multi‐innovation stochastic gradient estimation algorithm for the nonlinear dynamic responses of systems
- (2020) Ling Xu et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- Parameter estimation for block‐oriented nonlinear systems using the key term separation
- (2020) Yan Ji et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Hierarchical least squares parameter estimation algorithm for two-input Hammerstein finite impulse response systems
- (2020) Yan Ji et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- Modified Kalman filtering based multi-step-length gradient iterative algorithm for ARX models with random missing outputs
- (2020) Jing Chen et al. AUTOMATICA
- Recursive coupled projection algorithms for multivariable output-error-like systems with coloured noises
- (2020) Jian Pan et al. IET Signal Processing
- Two‐stage auxiliary model gradient‐based iterative algorithm for the input nonlinear controlled autoregressive system with variable‐gain nonlinearity
- (2020) Yamin Fan et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Identification of stochastic nonlinear models using optimal estimating functions
- (2020) Mohamed Rasheed-Hilmy Abdalmoaty et al. AUTOMATICA
- Partially-coupled gradient-based iterative algorithms for multivariable output-error-like systems with autoregressive moving average noises
- (2020) Hao Ma et al. IET Control Theory and Applications
- Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems
- (2020) Ling Xu et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Maximum likelihood hierarchical least squares‐based iterative identification for dual‐rate stochastic systems
- (2020) Meihang Li et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- Three‐stage forgetting factor stochastic gradient parameter estimation methods for a class of nonlinear systems
- (2020) Yan Ji et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Highly computationally efficient state filter based on the delta operator
- (2019) Xiao Zhang et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- State estimation for bilinear systems through minimizing the covariance matrix of the state estimation errors
- (2019) Xiao Zhang et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- The filtering‐based maximum likelihood iterative estimation algorithms for a special class of nonlinear systems with autoregressive moving average noise using the hierarchical identification principle
- (2019) Meihang Li et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- Efficient Volterra systems identification using hierarchical genetic algorithms
- (2019) Laura S. de Assis et al. APPLIED SOFT COMPUTING
- Weighted Parameter Estimation for Hammerstein Nonlinear ARX Systems
- (2019) Jie Ding et al. CIRCUITS SYSTEMS AND SIGNAL PROCESSING
- Partially-coupled least squares based iterative parameter estimation for multi-variable output-error-like autoregressive moving average systems
- (2019) Hao Ma et al. IET Control Theory and Applications
- The innovation algorithms for multivariable state‐space models
- (2019) Feng Ding et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- A new convergence analysis for the Volterra series representation of nonlinear systems
- (2019) Yun-Peng Zhu et al. AUTOMATICA
- Recursive parameter estimation and its convergence for bilinear systems
- (2019) Xiao Zhang et al. IET Control Theory and Applications
- Maximum Likelihood Least Squares Based Iterative Estimation for a Class of Bilinear Systems Using the Data Filtering Technique
- (2019) Meihang Li et al. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
- Recursive parameter estimation methods and convergence analysis for a special class of nonlinear systems
- (2019) Xiao Zhang et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Hierarchical least squares identification for feedback nonlinear equation-error systems
- (2019) Feng Ding et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- Convolutional Neural Networks as Asymmetric Volterra Models Based on Generalized Orthonormal Basis Functions
- (2019) Jeremias B. Machado et al. IEEE Transactions on Neural Networks and Learning Systems
- Multimodel Approach to Robust Identification of Multiple-Input Single-Output Nonlinear Time-Delay Systems
- (2019) Xianqiang Yang et al. IEEE Transactions on Industrial Informatics
- Filtering-Based Maximum Likelihood Gradient Iterative Estimation Algorithm for Bilinear Systems with Autoregressive Moving Average Noise
- (2018) Meihang Li et al. CIRCUITS SYSTEMS AND SIGNAL PROCESSING
- Distributed Nonlinear System Identification in $\alpha$ -Stable Noise
- (2018) Lu Lu et al. IEEE SIGNAL PROCESSING LETTERS
- Robust Sparse Recovery in Impulsive Noise via Continuous Mixed Norm
- (2018) Amirhossein Javaheri et al. IEEE SIGNAL PROCESSING LETTERS
- Sparse Modeling of Nonlinear Secondary Path for Nonlinear Active Noise Control
- (2018) Xinnian Guo et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Hierarchical Parameter Estimation for the Frequency Response Based on the Dynamical Window Data
- (2018) Ling Xu et al. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
- A hierarchical least squares identification algorithm for Hammerstein nonlinear systems using the key term separation
- (2018) Feng Ding et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- The least squares based iterative algorithms for parameter estimation of a bilinear system with autoregressive noise using the data filtering technique
- (2018) Meihang Li et al. SIGNAL PROCESSING
- Control Algorithms of Magnetic Suspension Systems Based on the Improved Double Exponential Reaching Law of Sliding Mode Control
- (2018) Jian Pan et al. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
- Hierarchical Newton and least squares iterative estimation algorithm for dynamic systems by transfer functions based on the impulse responses
- (2018) Ling Xu et al. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
- Non-linear system modelling based on constrained Volterra series estimates
- (2017) Przemysław Śliwiński et al. IET Control Theory and Applications
- Parameter estimation algorithms for dynamical response signals based on the multi-innovation theory and the hierarchical principle
- (2017) Ling Xu et al. IET Signal Processing
- A filtering based multi-innovation extended stochastic gradient algorithm for multivariable control systems
- (2017) Jian Pan et al. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
- The parameter estimation algorithms based on the dynamical response measurement data
- (2017) Ling Xu Advances in Mechanical Engineering
- Optimal experiment design for identification of ARX models with constrained output in non-Gaussian noise
- (2016) Vladimir Stojanovic et al. APPLIED MATHEMATICAL MODELLING
- System identification by operatorial cancellation of nonlinear terms and application to a class of Volterra models
- (2016) C. Casenave et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- The damping iterative parameter identification method for dynamical systems based on the sine signal measurement
- (2016) Ling Xu SIGNAL PROCESSING
- Convergence analysis of the alternating RGLS algorithm for the identification of the reduced complexity Volterra model
- (2015) Imen Laamiri et al. ISA TRANSACTIONS
- Frequency-Domain Volterra Filter Based on Data-Driven Soft Decision for Nonlinear Acoustic Echo Suppression
- (2014) IEEE SIGNAL PROCESSING LETTERS
- Continuous Mixed $p$-Norm Adaptive Algorithm for System Identification
- (2014) IEEE SIGNAL PROCESSING LETTERS
- Parameter estimation and controller design for dynamic systems from the step responses based on the Newton iteration
- (2014) Ling Xu et al. NONLINEAR DYNAMICS
- Computational system identification for Bayesian NARMAX modelling
- (2013) Tara Baldacchino et al. AUTOMATICA
- Parameter estimation with scarce measurements
- (2011) Feng Ding et al. AUTOMATICA
- Nonlinear system modeling and identification using Volterra-PARAFAC models
- (2011) Gérard Favier et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- Tensor Analysis-Based Model Structure Determination and Parameter Estimation for Block-Oriented Nonlinear Systems
- (2010) Alain Y Kibangou et al. IEEE Journal of Selected Topics in Signal Processing
- Nonlinear predictive control of smooth nonlinear systems based on Volterra models. Application to a pilot plant
- (2009) Jorn K. Gruber et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Tensor Decompositions and Applications
- (2009) Tamara G. Kolda et al. SIAM REVIEW
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started