Recursive parameter estimation methods and convergence analysis for a special class of nonlinear systems

[1]  Wen-Qin Wang,et al.  Sparsity-aware transmit beamspace design for FDA-MIMO radar , 2018, Signal Process..

[2]  Feng Ding,et al.  An efficient hierarchical identification method for general dual-rate sampled-data systems , 2014, Autom..

[3]  Y. Funahashi Stable state estimator for bilinear systems , 1979 .

[4]  R. R. Mohler,et al.  Completely Controllable Bilinear Systems , 1968 .

[5]  Feng Ding,et al.  Recursive parameter estimation algorithm for multivariate output-error systems , 2018, J. Frankl. Inst..

[6]  Michel Verhaegen,et al.  Recursive subspace identification of linear and non-linear Wiener state-space models , 2000, Autom..

[7]  Xiaoxing Zhang,et al.  A First-Principles Study of the SF6 Decomposed Products Adsorbed Over Defective WS2 Monolayer as Promising Gas Sensing Device , 2019, IEEE Transactions on Device and Materials Reliability.

[8]  Feng Ding,et al.  Filtering-Based Multistage Recursive Identification Algorithm for an Input Nonlinear Output-Error Autoregressive System by Using the Key Term Separation Technique , 2017, Circuits Syst. Signal Process..

[9]  Feng Ding,et al.  State estimation for bilinear systems through minimizing the covariance matrix of the state estimation errors , 2019, International Journal of Adaptive Control and Signal Processing.

[10]  Ahmed Alsaedi,et al.  Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model , 2020, J. Comput. Appl. Math..

[11]  Haisheng Yu,et al.  A Novel Speed Control Method Based on Port-Controlled Hamiltonian and Disturbance Observer for PMSM Drives , 2019, IEEE Access.

[12]  Yiyang Pei,et al.  Dynamic Contract Incentive Mechanism for Cooperative Wireless Networks , 2018, IEEE Transactions on Vehicular Technology.

[13]  C. Yin,et al.  ON THE OPTIMAL DIVIDEND PROBLEM FOR A SPECTRALLY POSITIVE LÉVY PROCESS , 2013, ASTIN Bulletin.

[14]  Feng Liu,et al.  Bio-Inspired Speed Curve Optimization and Sliding Mode Tracking Control for Subway Trains , 2019, IEEE Transactions on Vehicular Technology.

[15]  W. Shi,et al.  Effects of Postannealing on the Characteristics and Reliability of Polyfluorene Organic Light-Emitting Diodes , 2019, IEEE Transactions on Electron Devices.

[16]  Yuan Tian,et al.  Dissolved Gas Analysis in Transformer Oil Using Pt-Doped WSe2 Monolayer Based on First Principles Method , 2019, IEEE Access.

[17]  Richard W. Longman,et al.  Identification of discrete-time bilinear systems through equivalent linear models , 2012 .

[18]  Darrell Williamson,et al.  Observation of bilinear systems with application to biological control , 1977, Autom..

[19]  Long Chen,et al.  On Some Separated Algorithms for Separable Nonlinear Least Squares Problems , 2018, IEEE Transactions on Cybernetics.

[20]  Feng Ding,et al.  Hierarchical Principle-Based Iterative Parameter Estimation Algorithm for Dual-Frequency Signals , 2019, Circuits Syst. Signal Process..

[21]  Min Liu,et al.  Robust global motion estimation for video security based on improved k-means clustering , 2019, J. Ambient Intell. Humaniz. Comput..

[22]  Song Xiao,et al.  AC Breakdown and Decomposition Characteristics of Environmental Friendly Gas C5F10O/Air and C5F10O/N2 , 2019, IEEE Access.

[23]  Feng Ding,et al.  Decomposition- and Gradient-Based Iterative Identification Algorithms for Multivariable Systems Using the Multi-innovation Theory , 2019, Circuits Syst. Signal Process..

[24]  Fan Yang,et al.  Fourier Truncation Regularization Method for a Three-Dimensional Cauchy Problem of the Modified Helmholtz Equation with Perturbed Wave Number , 2019, Mathematics.

[25]  Fan Yang,et al.  The quasi-boundary value method for identifying the initial value of heat equation on a columnar symmetric domain , 2018, Numerical Algorithms.

[26]  Min Gan,et al.  A Variable Projection Approach for Efficient Estimation of RBF-ARX Model , 2015, IEEE Transactions on Cybernetics.

[27]  Vincent Verdult,et al.  Kernel methods for subspace identification of multivariable LPV and bilinear systems , 2005, Autom..

[28]  C. L. Philip Chen,et al.  A Regularized Variable Projection Algorithm for Separable Nonlinear Least-Squares Problems , 2019, IEEE Transactions on Automatic Control.

[29]  Feng Ding,et al.  Modified Gram–Schmidt Method-Based Variable Projection Algorithm for Separable Nonlinear Models , 2019, IEEE Transactions on Neural Networks and Learning Systems.

[30]  Ying Shen,et al.  Exit problems for jump processes with applications to dividend problems , 2013, J. Comput. Appl. Math..

[31]  Fei Qiao,et al.  Electrocardiogram Baseline Wander Suppression Based on the Combination of Morphological and Wavelet Transformation Based Filtering , 2019, Comput. Math. Methods Medicine.

[32]  Jie Ding,et al.  Particle filtering‐based recursive identification for controlled auto‐regressive systems with quantised output , 2019, IET Control Theory & Applications.

[33]  Nan Zhao,et al.  Joint Optimization of Cooperative Spectrum Sensing and Resource Allocation in Multi-channel Cognitive Radio Sensor Networks , 2016, Circuits Syst. Signal Process..

[34]  R. Mohler,et al.  Bilinear system identification by Walsh functions , 1978 .

[35]  Nan Zhao,et al.  Android-based mobile educational platform for speech signal processing , 2017 .

[36]  Feng Ding,et al.  Parameter estimation with scarce measurements , 2011, Autom..

[37]  Bo Fu,et al.  An Improved Mixed Integer Linear Programming Approach Based on Symmetry Diminishing for Unit Commitment of Hybrid Power System , 2019, Energies.

[38]  Bo Fu,et al.  Research on Automatic Generation Control with Wind Power Participation Based on Predictive Optimal 2-Degree-of-Freedom PID Strategy for Multi-area Interconnected Power System , 2018, Energies.

[39]  Yuehong Su,et al.  A Capacity Configuration Control Strategy to Alleviate Power Fluctuation of Hybrid Energy Storage System Based on Improved Particle Swarm Optimization , 2019, Energies.

[40]  Yiyang Pei,et al.  Deep Reinforcement Learning for User Association and Resource Allocation in Heterogeneous Cellular Networks , 2019, IEEE Transactions on Wireless Communications.

[41]  D. Murthy,et al.  Controllability of a class of discrete time bilinear systems , 1977 .

[42]  Chuancun Yin,et al.  Nonexponential asymptotics for the solutions of renewal equations, with applications , 2006, Journal of Applied Probability.

[43]  C. Yin,et al.  The Perturbed Compound Poisson Risk Process with Investment and Debit Interest , 2010 .

[44]  Fan Yang,et al.  Fourier Truncation Regularization Method for a Time-Fractional Backward Diffusion Problem with a Nonlinear Source , 2019, Mathematics.

[45]  Jianqiang Pan,et al.  A filtering based multi-innovation extended stochastic gradient algorithm for multivariable control systems , 2017 .

[46]  Wan Xiangkui,et al.  A T-wave alternans assessment method based on least squares curve fitting technique , 2016 .

[47]  Er-Wei Bai,et al.  Least squares solutions of bilinear equations , 2006, Syst. Control. Lett..

[48]  Jing Na,et al.  Improving transient performance of adaptive control via a modified reference model and novel adaptation , 2017 .

[49]  Jing Chen,et al.  Hierarchical identification for multivariate Hammerstein systems by using the modified Kalman filter , 2017 .

[50]  Donghai Li,et al.  On disturbance rejection in magnetic levitation , 2019, Control Engineering Practice.

[51]  Jie Sheng,et al.  Convergence of stochastic gradient estimation algorithm for multivariable ARX-like systems , 2010, Comput. Math. Appl..

[52]  Daizhan Cheng On controllability of switched bilinear systems , 2005, Proceedings of the 2005, American Control Conference, 2005..

[53]  Bo Fu,et al.  Research on the Predictive Optimal PID Plus Second Order Derivative Method for AGC of Power System with High Penetration of Photovoltaic and Wind Power , 2019, Journal of Electrical Engineering & Technology.

[54]  Qingxia Li,et al.  Imaging With 3-D Aperture Synthesis Radiometers , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[55]  Song Xiao,et al.  Experimental Study on Compatibility of Eco-Friendly Insulating Medium C5F10O/CO2 Gas Mixture With Copper and Aluminum , 2019, IEEE Access.

[56]  Jian Pan,et al.  Recursive Algorithms for Multivariable Output-Error-Like ARMA Systems , 2019, Mathematics.

[57]  Jer-Nan Juang,et al.  Continuous-Time Bilinear System Identification , 2005 .

[58]  C. Yin,et al.  Optimal dividends problem with a terminal value for spectrally positive Levy processes , 2013, 1302.6011.

[59]  Tingli Su,et al.  Integrated Predictor Based on Decomposition Mechanism for PM2.5 Long-Term Prediction , 2019, Applied Sciences.

[60]  Huaicheng Yan,et al.  Modified tracking performance limitation of networked time-delay systems with two-channel constraints , 2019, J. Frankl. Inst..

[61]  Wen-Qin Wang,et al.  Adaptive weight matrix design and parameter estimation via sparse modeling for MIMO radar , 2017, Signal Process..

[62]  W. Shi,et al.  Effects of Charge Transport Materials on Blue Fluorescent Organic Light-Emitting Diodes with a Host-Dopant System , 2019, Micromachines.

[63]  Alessandro Chiuso,et al.  Subspace identification by data orthogonalization and model decoupling , 2003, Autom..

[64]  Xiao-Xiao Li,et al.  A quasi-boundary regularization method for identifying the initial value of time-fractional diffusion equation on spherically symmetric domain , 2019, Journal of Inverse and Ill-posed Problems.

[65]  C. Bruni,et al.  Bilinear systems: An appealing class of "nearly linear" systems in theory and applications , 1974 .

[66]  Erfu Yang,et al.  State filtering‐based least squares parameter estimation for bilinear systems using the hierarchical identification principle , 2018, IET Control Theory & Applications.

[67]  Meihang Li,et al.  The least squares based iterative algorithms for parameter estimation of a bilinear system with autoregressive noise using the data filtering technique , 2018, Signal Process..

[68]  Guo Xie,et al.  Fault Diagnosis of Train Plug Door Based on a Hybrid Criterion for IMFs Selection and Fractional Wavelet Package Energy Entropy , 2019, IEEE Transactions on Vehicular Technology.

[69]  Brett Ninness,et al.  Maximum-likelihood parameter estimation of bilinear systems , 2005, IEEE Transactions on Automatic Control.

[70]  Feng Ding,et al.  New gradient based identification methods for multivariate pseudo-linear systems using the multi-innovation and the data filtering , 2017, J. Frankl. Inst..

[71]  Richard W. Longman,et al.  Optimal bilinear observers for bilinear state-space models by interaction matrices , 2015, Int. J. Control.

[72]  F. Ding,et al.  Partially‐coupled least squares based iterative parameter estimation for multi‐variable output‐error‐like autoregressive moving average systems , 2019, IET Control Theory & Applications.

[73]  Feng Ding,et al.  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, International Journal of Adaptive Control and Signal Processing.

[74]  Yang Li,et al.  Rapid Relocation Method for Mobile Robot Based on Improved ORB-SLAM2 Algorithm , 2019, Remote. Sens..

[75]  Meihang Li,et al.  Auxiliary Model Based Least Squares Iterative Algorithms for Parameter Estimation of Bilinear Systems Using Interval-Varying Measurements , 2018, IEEE Access.

[76]  Wei Li,et al.  Control Algorithms of Magnetic Suspension Systems Based on the Improved Double Exponential Reaching Law of Sliding Mode Control , 2018, International Journal of Control, Automation and Systems.

[77]  Feng Ding,et al.  Maximum Likelihood Recursive Identification for the Multivariate Equation-Error Autoregressive Moving Average Systems Using the Data Filtering , 2019, IEEE Access.

[78]  Feng Ding,et al.  Decomposition based least squares iterative identification algorithm for multivariate pseudo-linear ARMA systems using the data filtering , 2017, J. Frankl. Inst..

[79]  Jie Ding,et al.  Particle filtering based parameter estimation for systems with output-error type model structures , 2019, J. Frankl. Inst..