Recursive Least Squares and Multi-innovation Stochastic Gradient Parameter Estimation Methods for Signal Modeling
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Recursive Least Squares and Multi-innovation Stochastic Gradient Parameter Estimation Methods for Signal Modeling
Authors
Keywords
Signal modeling, Recursive algorithm, Fourier series, Parameter estimation, Least squares, Sine signal
Journal
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
Volume 36, Issue 4, Pages 1735-1753
Publisher
Springer Nature
Online
2016-08-11
DOI
10.1007/s00034-016-0378-4
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Hierarchical parameter estimation for a class of MIMO Hammerstein systems based on the reframed models
- (2016) Dongqing Wang APPLIED MATHEMATICS LETTERS
- Distributed receding horizon control of constrained nonlinear vehicle formations with guaranteed γ-gain stability
- (2016) Huiping Li et al. AUTOMATICA
- Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model
- (2016) Yanjiao Wang et al. AUTOMATICA
- A revised Durbin-Wu-Hausman test for industrial robot identification
- (2016) Alexandre Janot et al. CONTROL ENGINEERING PRACTICE
- Accuracy analysis of the sine-wave parameters estimation by means of the windowed three-parameter sine-fit algorithm
- (2016) Daniel Belega et al. DIGITAL SIGNAL PROCESSING
- Filtering-based iterative identification for multivariable systems
- (2016) Yanjiao Wang et al. IET Control Theory and Applications
- Parameter estimation algorithms for multivariable Hammerstein CARMA systems
- (2016) Dongqing Wang et al. INFORMATION SCIENCES
- Fault diagnosis method based on FFT-RPCA-SVM for Cascaded-Multilevel Inverter
- (2016) Tianzhen Wang et al. ISA TRANSACTIONS
- An adaptive conjugate gradient algorithm for large-scale unconstrained optimization
- (2016) Neculai Andrei JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
- Kalman state filtering based least squares iterative parameter estimation for observer canonical state space systems using decomposition
- (2016) Feng Ding et al. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
- The recursive least squares identification algorithm for a class of Wiener nonlinear systems
- (2016) Feng Ding et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- An auxiliary model based least squares algorithm for a dual-rate state space system with time-delay using the data filtering
- (2016) Feng Ding et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- An adaptive confidence limit for periodic non-steady conditions fault detection
- (2016) Tianzhen Wang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Image noise smoothing using a modified Kalman filter
- (2016) Jian Pan et al. NEUROCOMPUTING
- The damping iterative parameter identification method for dynamical systems based on the sine signal measurement
- (2016) Ling Xu SIGNAL PROCESSING
- The auxiliary model based hierarchical gradient algorithms and convergence analysis using the filtering technique
- (2016) Yanjiao Wang et al. SIGNAL PROCESSING
- Multi-AUV Target Search Based on Bioinspired Neurodynamics Model in 3-D Underwater Environments
- (2016) Xiang Cao et al. IEEE Transactions on Neural Networks and Learning Systems
- On Neighbor Information Utilization in Distributed Receding Horizon Control for Consensus-Seeking
- (2016) Huiping Li et al. IEEE Transactions on Cybernetics
- A three-term conjugate gradient algorithm for large-scale unconstrained optimization problems
- (2015) Songhai Deng et al. APPLIED NUMERICAL MATHEMATICS
- On linear convergence of a distributed dual gradient algorithm for linearly constrained separable convex problems
- (2015) Ion Necoara et al. AUTOMATICA
- Recursive identification of FIR systems with binary-valued outputs and communication channels
- (2015) Jin Guo et al. AUTOMATICA
- Recursive Least Squares Parameter Estimation for a Class of Output Nonlinear Systems Based on the Model Decomposition
- (2015) Feng Ding et al. CIRCUITS SYSTEMS AND SIGNAL PROCESSING
- A novel data filtering based multi-innovation stochastic gradient algorithm for Hammerstein nonlinear systems
- (2015) Yawen Mao et al. DIGITAL SIGNAL PROCESSING
- Multi-innovation auto-constructed least squares identification for 4 DOF ship manoeuvring modelling with full-scale trial data
- (2015) Guoqing Zhang et al. ISA TRANSACTIONS
- Application of the Newton iteration algorithm to the parameter estimation for dynamical systems
- (2015) Ling Xu JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
- Improved least squares identification algorithm for multivariable Hammerstein systems
- (2015) Dongqing Wang et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- An improved Multi-harmonic Sine Fitting Algorithm based on Tabu Search
- (2015) Jianjun Chen et al. MEASUREMENT
- Recursive least squares algorithm and gradient algorithm for Hammerstein–Wiener systems using the data filtering
- (2015) Yanjiao Wang et al. NONLINEAR DYNAMICS
- Unified Synchronization Criteria for Hybrid Switching-Impulsive Dynamical Networks
- (2014) Yan Ji et al. CIRCUITS SYSTEMS AND SIGNAL PROCESSING
- Sine-wave parameter estimation by interpolated DFT method based on new cosine windows with high interference rejection capability
- (2014) Daniel Belega et al. DIGITAL SIGNAL PROCESSING
- Identification of multivariable nonlinear systems in the presence of colored noises using iterative hierarchical least squares algorithm
- (2014) Masoumeh Jafari et al. ISA TRANSACTIONS
- New criteria for the robust impulsive synchronization of uncertain chaotic delayed nonlinear systems
- (2014) Yan Ji et al. NONLINEAR DYNAMICS
- Parameter estimation and controller design for dynamic systems from the step responses based on the Newton iteration
- (2014) Ling Xu et al. NONLINEAR DYNAMICS
- Recursive identification of time-varying systems: Self-tuning and matrix RLS algorithms
- (2014) Jianshu Li et al. SYSTEMS & CONTROL LETTERS
- Signal modeling using the gradient search
- (2013) Xiangli Li et al. APPLIED MATHEMATICS LETTERS
- Identification of Hammerstein systems using key-term separation principle, auxiliary model and improved particle swarm optimisation algorithm
- (2013) Xiaoping Xu et al. IET Signal Processing
- Unbiased identification of a class of multi-input single-output systems with correlated disturbances using bias compensation methods
- (2011) Yong Zhang MATHEMATICAL AND COMPUTER MODELLING
- Gradient based and least-squares based iterative identification methods for OE and OEMA systems
- (2009) Feng Ding et al. DIGITAL SIGNAL PROCESSING
- Multi-frequency identification method in signal processing
- (2008) Sanxing Zhao et al. DIGITAL SIGNAL PROCESSING
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started