A Regularized SNPOM for Stable Parameter Estimation of RBF-AR(X) Model

No abstract is available for this paper.

• Publication year

  2018

• Venue

  IEEE Transactions on Neural Networks and Learning Systems

• Publication date

  2018-04-01

• Fields of study

  Mathematics, Computer Science, Engineering, Medicine

• Identifiers
  DOI 10.1109/TNNLS.2016.2641475PMID 28113350
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Tuning complexity in regularized kernel-based regression and linear system identification: The robustness of the marginal likelihood estimator

  2015cited by this paper
• Improving the kernel regularized least squares method for small-sample regression

  2015cited by this paper
• A Variable Projection Approach for Efficient Estimation of RBF-ARX Model

  2015cited by this paper
• RBF-ARX model-based MPC strategies with application to a water tank system

  2015cited by this paper
• Nonlinear modeling and control approach to magnetic levitation ball system using functional weight RBF network-based state-dependent ARX model

  2015cited by this paper
• Kernel methods in system identification, machine learning and function estimation: A survey

  2014cited by this paper
• A modeling and control approach to magnetic levitation system based on state-dependent ARX model

  2014cited by this paper
• Quad‐Rotor Modeling and Attitude Control Using State‐Dependent ARX Type Model

  2014cited by this paper
• An Efficient Variable Projection Formulation for Separable Nonlinear Least Squares Problems

  2014cited by this paper
• System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques

  2014cited by this paper
• Implementation of algorithms for tuning parameters in regularized least squares problems in system identification

  2013cited by this paper
• Ship's tracking control based on nonlinear time series model

  2012cited by this paper
• Extreme Learning Machine for Regression and Multiclass Classification

  2012cited by this paper
• $L_{1/2}$ Regularization: A Thresholding Representation Theory and a Fast Solver

  2012cited by this paper
• A global-local optimization approach to parameter estimation of RBF-type models

  2012cited by this paper
• Nonlinear time series modeling and prediction using functional weights wavelet neural network-based state-dependent AR model

  2012cited by this paper
• Stability analysis of RBF network-based state-dependent autoregressive model for nonlinear time series

  2012cited by this paper
• On the estimation of transfer functions, regularizations and Gaussian processes - Revisited

  2012cited by this paper
• A hybrid algorithm to optimize RBF network architecture and parameters for nonlinear time series prediction

  2012cited by this paper
• Segmentation of ARX-models using sum-of-norms regularization

  2010cited by this paper
• Nonlinear system modeling and predictive control using the RBF nets-based quasi-linear ARX model☆

  2009cited by this paper
• An Akaike State-Space Controller for RBF-ARX Models

  2009cited by this paper
• Nonlinear Predictive Control Using Neural Nets-Based Local Linearization ARX Model—Stability and Industrial Application

  2007cited by this paper
• A predictive control strategy for nonlinear NOx decomposition process in thermal power plants

  2006cited by this paper
• RBF-ARX model based nonlinear system modeling and predictive control with application to a NOx decomposition process

  2004cited by this paper
• A parameter optimization method for radial basis function type models

  2003influential reference
• A nonlinear exponential ARX model-based multivariable generalized predictive control strategy for thermal power plants

  2002cited by this paper
• ECG data compression using truncated singular value decomposition

  2001cited by this paper
• Model selection in neural networks

  1999cited by this paper
• Nonlinear time series modelling with the radial basis function-based state-dependent autoregressive model

  1999cited by this paper
• Estimation of conduction velocity distribution by regularized-least-squares method

  1997cited by this paper
• An amplitude-dependent autoregressive model based on a radial basis functions expansion

  1993cited by this paper
• The truncatedSVD as a method for regularization

  1987cited by this paper
• STATE‐DEPENDENT MODELS: A GENERAL APPROACH TO NON‐LINEAR TIME SERIES ANALYSIS

  1980cited by this paper
• Non-linear time series models for non-linear random vibrations

  1980cited by this paper

• An Efficient Radial Basis Function Neural Network With Hybrid Regularizations for Predicting Library Loan Volume: Generalization and Adaptability Are Improved

  2026cites this paper
• A framework for joint SOC and SOH estimation of lithium-ion battery: Eliminating the dependency on initial states

  2025cites this paper
• Modeling of temperature characteristics of lithium-ion batteries considering the state dependency and its robust estimation of internal temperature

  2025cites this paper
• Multi-innovation-based online variable projection algorithm for a class of nonlinear models

  2024cites this paper
• A modeling and state of charge estimation approach to lithium-ion batteries based on the state-dependent autoregressive model with exogenous inputs

  2024cites this paper
• Variable projection algorithms with sparse constraint for separable nonlinear models

  2024cites this paper
• Variable Projection algorithms: Theoretical insights and a novel approach for problems with large residual

  2024cites this paper
• Model reconstruction-based joint estimation method and convergence analysis for nonlinear dynamic networks with time-delays

  2024cites this paper
• Learning-based robust output tracking control for unknown discrete-time nonlinear systems with dynamic uncertainty

  2024cites this paper
• Data secure transmission intelligent prediction algorithm for mobile industrial IoT networks

  2023cites this paper
• SD-ARX modeling and robust MPC with variable feedback gain for nonlinear systems

  2023cites this paper
• Hierarchical recursive Levenberg-Marquardt algorithm for radial basis function autoregressive models

  2023cites this paper
• A Compact Constraint Incremental Method for Random Weight Networks and Its Application

  2023cites this paper
• A variable projection-based parameter estimation algorithm for the nonsmooth separable nonlinear problems

  2023cites this paper
• Online Network-Based Identification and its Application in Satellite Attitude Control Systems

  2023cites this paper
• Partially-coupled nonlinear parameter optimization algorithm for a class of multivariate hybrid models

  2022cites this paper
• Rotor Transverse Slots’ Influence on Negative Sequence Loss and Heat Distribution Prediction of Large Generators Based on Improved Radial Basis Function Process Neural Network

  2022cites this paper
• Embedded Point Iteration Based Recursive Algorithm for Online Identification of Nonlinear Regression Models

  2022cites this paper
• An Adaptive-Tunable-Based Hybrid RBF Network for EGTM Prediction

  2021cites this paper
• Aitken-based Acceleration Estimation Algorithms for a Nonlinear Model with Exponential Terms by Using the Decomposition

  2021cites this paper
• Prognosis of fatigue cracks in an aircraft wing using an adaptive tunable network and guided wave based structural health monitoring

  2021cites this paper
• A novel expectation–maximization-based separable algorithm for parameter identification of RBF-AR model

  2021cites this paper
• State of health estimation of lithium-ion battery based on an adaptive tunable hybrid radial basis function network

  2021cites this paper
• ASC Performance Prediction for Medical IoT Communication Networks

  2021influential citation
• Parameter estimation for a class of radial basis function-based nonlinear time-series models with moving average noises

  2021cites this paper
• An RBF-ARX Model-Based Variable-Gain Feedback RMPC Algorithm

  2020influential citation
• Modeling Nonlinear Processes Using the Radial Basis Function-Based State-Dependent Autoregressive Models

  2020cites this paper
• An AI-based intelligent system for healthcare analysis using Ridge-Adaline Stochastic Gradient Descent Classifier

  2020cites this paper
• A Two-Stage Scheduling RPC Based on Time-Varying Coefficient Information of State-Dependent ARX Model

  2020influential citation
• A novel committee machine and reviews of neural network and statistical models for currency exchange rate prediction: An experimental analysis

  2020influential citation
• A Robust Controller Design Method Based on Parameter Variation Rate of RBF-ARX Model

  2019cites this paper
• Adaptive RBF-AR Models Based on Multi-Innovation Least Squares Method

  2019cites this paper
• A modelling and predictive control approach to linear two-stage inverted pendulum based on RBF-ARX model

  2019cites this paper
• Robust Predictive Control Algorithm Based on Parameter Variation Rate Information of Functional-Coefficient ARX Model

  2019cites this paper
• Modified Gram–Schmidt Method-Based Variable Projection Algorithm for Separable Nonlinear Models

  2019cites this paper
• A review and empirical analysis of neural networks based exchange rate prediction

  2018cites this paper