An efficient conjugate gradient based Cholesky CMA‐ES estimation algorithm for nonlinear systems
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Title
An efficient conjugate gradient based Cholesky CMA‐ES estimation algorithm for nonlinear systems
Authors
Keywords
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Journal
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2023-11-06
DOI
10.1002/rnc.7047
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Note: Only part of the references are listed.- Joint two‐stage multi‐innovation recursive least squares parameter and fractional‐order estimation algorithm for the fractional‐order input nonlinear output‐error autoregressive model
- (2023) Chong Hu et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- Parameter Estimation for Nonlinear Functions Related to System Responses
- (2023) Ling Xu INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
- Filtered auxiliary model recursive generalized extended parameter estimation methods for Box–Jenkins systems by means of the filtering identification idea
- (2023) Feng Ding et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Multi‐innovation gradient‐based iterative identification methods for feedback nonlinear systems by using the decomposition technique
- (2023) Dan Yang et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Hierarchical gradient‐ and least‐squares‐based iterative estimation algorithms for input‐nonlinear output‐error systems from measurement information by using the over‐parameterization
- (2023) Feng Ding et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Separable synthesis gradient estimation methods and convergence analysis for multivariable systems
- (2023) Ling Xu et al. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
- Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy data
- (2023) Feng Ding JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
- Joint Parameter and Time-Delay Estimation for a Class of Nonlinear Time-Series Models
- (2022) Huan Xu et al. IEEE SIGNAL PROCESSING LETTERS
- Separable Newton Recursive Estimation Method Through System Responses Based on Dynamically Discrete Measurements with Increasing Data Length
- (2022) Ling Xu INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
- Model recovery for multi-input signal-output nonlinear systems based on the compressed sensing recovery theory
- (2022) Yan Ji et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- Two‐stage gradient‐based iterative algorithms for the fractional‐order nonlinear systems by using the hierarchical identification principle
- (2022) Junwei Wang et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- Overall recursive least squares and overall stochastic gradient algorithms and their convergence for feedback nonlinear controlled autoregressive systems
- (2022) Chun Wei et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Expectation–maximization algorithm for bilinear systems by using the Rauch–Tung–Striebel smoother
- (2022) Siyu Liu et al. AUTOMATICA
- Auxiliary Model-Based Iterative Estimation Algorithms for Nonlinear Systems Using the Covariance Matrix Adaptation Strategy
- (2022) Yawen Mao et al. CIRCUITS SYSTEMS AND SIGNAL PROCESSING
- Modeling nonlinear systems using the tensor network B‐spline and the multi‐innovation identification theory
- (2022) Yanjiao Wang et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- 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
- Hammerstein Box-Jenkins System Identification of the Cascaded Tanks Benchmark System
- (2021) Ibrahim A. Aljamaan et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Hierarchical gradient- and least squares-based iterative algorithms for input nonlinear output-error systems using the key term separation
- (2021) Feng Ding et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- Separable Multi-innovation Newton Iterative Modeling Algorithm for Multi-frequency Signals Based on the Sliding Measurement Window
- (2021) Ling Xu CIRCUITS SYSTEMS AND SIGNAL PROCESSING
- Finite‐time adaptive control for nonlinear systems with uncertain parameters based on the command filters
- (2021) Jiling Ding et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- 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
- Filtering‐based recursive least squares estimation approaches for multivariate equation‐error systems by using the multiinnovation theory
- (2021) Ping Ma et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- An efficient recursive identification algorithm for multilinear systems based on tensor decomposition
- (2021) Yanjiao Wang et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- The data filtering based multiple‐stage Levenberg–Marquardt algorithm for Hammerstein nonlinear systems
- (2021) Yan Ji et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Partially-coupled nonlinear parameter optimization algorithm for a class of multivariate hybrid models
- (2021) Yihong Zhou et al. APPLIED MATHEMATICS AND COMPUTATION
- Optimal Adaptive Filtering Algorithm by Using the Fractional-Order Derivative
- (2021) Xiao Zhang et al. IEEE SIGNAL PROCESSING LETTERS
- Auxiliary model‐based multi‐innovation recursive identification algorithms for an input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity
- (2021) Yamin Fan et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- A novel nonlinear optimization method for fitting a noisy Gaussian activation function
- (2021) Jimei Li et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- Identification and U‐control of a state‐space system with time‐delay
- (2021) Ya Gu et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- Outlier robust identification of dual‐rate Hammerstein models in the presence of unmodeled dynamics
- (2021) Vojislav Z. Filipovic INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Identification of fractional-order Hammerstein nonlinear ARMAX system with colored noise
- (2021) Qian Zhang et al. NONLINEAR DYNAMICS
- Sliding Mode Dual-Channel Disturbance Rejection Attitude Control for a Quadrotor
- (2021) Jiaxin Xiong et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Maximum likelihood identification of dual-rate Hammerstein output error moving average system
- (2020) Junhong Li et al. IET Control Theory and Applications
- Adaptive parameter estimation for a general dynamical system with unknown states
- (2020) Xiao Zhang et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- 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
- An innovative fractional order LMS algorithm for power signal parameter estimation
- (2020) Naveed Ishtiaq Chaudhary et al. APPLIED MATHEMATICAL MODELLING
- Robust extended recursive least squares identification algorithm for Hammerstein systems with dynamic disturbances
- (2020) Shijian Dong et al. DIGITAL SIGNAL PROCESSING
- Recursive coupled projection algorithms for multivariable output-error-like systems with coloured noises
- (2020) Jian Pan et al. IET Signal Processing
- Maximum likelihood‐based gradient estimation for multivariable nonlinear systems using the multiinnovation identification theory
- (2020) Huafeng Xia et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- 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
- Design of multi innovation fractional LMS algorithm for parameter estimation of input nonlinear control autoregressive systems
- (2020) Naveed Ishtiaq Chaudhary et al. APPLIED MATHEMATICAL MODELLING
- Maximum likelihood gradient-based iterative estimation for multivariable systems
- (2019) Huafeng Xia et al. IET Control Theory and Applications
- Design of sign fractional optimization paradigms for parameter estimation of nonlinear Hammerstein systems
- (2019) Naveed Ishtiaq Chaudhary et al. NEURAL COMPUTING & APPLICATIONS
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- (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
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- (2019) Ammara Mehmood et al. APPLIED SOFT COMPUTING
- 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
- A Novel EM Identification Method for Hammerstein Systems With Missing Output Data
- (2019) Dongqing Wang et al. IEEE Transactions on Industrial Informatics
- Teaching–learning–based artificial bee colony for solar photovoltaic parameter estimation
- (2018) Xu Chen et al. APPLIED ENERGY
- Solving large-scale many-objective optimization problems by covariance matrix adaptation evolution strategy with scalable small subpopulations
- (2018) Huangke Chen et al. INFORMATION SCIENCES
- 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
- Fast Covariance Matrix Adaptation for Large-Scale Black-Box Optimization
- (2018) Zhenhua Li et al. IEEE Transactions on Cybernetics
- A Simple yet Efficient Evolution Strategy for Large Scale Black-Box Optimization
- (2017) Zhenhua Li et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- 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
- A novel parameter separation based identification algorithm for Hammerstein systems
- (2016) Yawen Mao et al. APPLIED MATHEMATICS LETTERS
- Bio-inspired computational heuristics for parameter estimation of nonlinear Hammerstein controlled autoregressive system
- (2016) Muhammad Asif Zahoor Raja et al. NEURAL COMPUTING & APPLICATIONS
- Multi-innovation stochastic gradient identification for Hammerstein controlled autoregressive autoregressive systems based on the filtering technique
- (2014) Yawen Mao et al. NONLINEAR DYNAMICS
- A Hybrid EKF and Switching PSO Algorithm for Joint State and Parameter Estimation of Lateral Flow Immunoassay Models
- (2011) Nianyin Zeng et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Efficient covariance matrix update for variable metric evolution strategies
- (2009) Thorsten Suttorp et al. MACHINE LEARNING
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