Two‐stage auxiliary model gradient‐based iterative algorithm for the input nonlinear controlled autoregressive system with variable‐gain nonlinearity
暂无分享,去创建一个
[1] F. Ding. Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling , 2013 .
[2] Guoying Zhao,et al. Signal Reconstruction of Compressed Sensing Based on Alternating Direction Method of Multipliers , 2019, Circuits Syst. Signal Process..
[3] Ahmed Alsaedi,et al. Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model , 2020, J. Comput. Appl. Math..
[4] Hui Liu,et al. Novel Method for Identifying Fault Location of Mixed Lines , 2018, Energies.
[5] Li He,et al. Accurate measurement of pavement deflection velocity under dynamic loads , 2017 .
[6] 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.
[7] 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.
[8] F. Ma,et al. Start-Up Process Modelling of Sediment Microbial Fuel Cells Based on Data Driven , 2019, Mathematical Problems in Engineering.
[9] Y. Liu,et al. Gradient-based and least-squares-based iterative estimation algorithms for multi-input multi-output systems , 2012, J. Syst. Control. Eng..
[10] Yufang Chang,et al. Effective notch stress method for fatigue assessment of sheet alloy material and bi-material welded joints , 2020 .
[11] Tao Yu,et al. Parameter estimation for block‐oriented nonlinear systems using the key term separation , 2020, International Journal of Robust and Nonlinear Control.
[12] Feng Ding,et al. Hierarchical Principle-Based Iterative Parameter Estimation Algorithm for Dual-Frequency Signals , 2019, Circuits Syst. Signal Process..
[13] Xiao Zhang,et al. Hierarchical parameter and state estimation for bilinear systems , 2020, Int. J. Syst. Sci..
[14] 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.
[15] M. Farrokhi,et al. Robust identification of MISO neuro‐fractional‐order Hammerstein systems , 2019, International Journal of Robust and Nonlinear Control.
[16] 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.
[17] C. Yin,et al. Optimality of the threshold dividend strategy for the compound Poisson model , 2011 .
[18] Feng Ding,et al. Parameter estimation with scarce measurements , 2011, Autom..
[19] Yu Zhang,et al. Reconfigurable equilibrium circuit with additional power supply , 2020 .
[20] J. Voros. Modeling and parameter identification of systems with multisegment piecewise-linear characteristics , 2002 .
[21] Feng Ding,et al. Recursive parameter estimation algorithm for multivariate output-error systems , 2018, J. Frankl. Inst..
[22] Feng Ding,et al. Hierarchical Least Squares Identification for Linear SISO Systems With Dual-Rate Sampled-Data , 2011, IEEE Transactions on Automatic Control.
[23] 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..
[24] Jozef Vörös,et al. Iterative algorithm for parameter identification of Hammerstein systems with two-segment nonlinearities , 1999, IEEE Trans. Autom. Control..
[25] Ahmed Alsaedi,et al. Data filtering based maximum likelihood gradient estimation algorithms for a multivariate equation-error system with ARMA noise , 2020, J. Frankl. Inst..
[26] 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..
[27] M. Dehghan,et al. Analysis of an iterative algorithm to solve the generalized coupled Sylvester matrix equations , 2011 .
[28] Guo-Ping Jiang,et al. Weighted Parameter Estimation for Hammerstein Nonlinear ARX Systems , 2020, Circuits Syst. Signal Process..
[29] Bo Fu,et al. Quadratic stabilization of switched uncertain linear systems: a convex combination approach , 2019, IEEE/CAA Journal of Automatica Sinica.
[30] Przemyslaw Sliwinski,et al. Nonlinear system modeling based on constrained Volterra series estimates , 2017, ArXiv.
[31] F. Ding. Coupled-least-squares identification for multivariable systems , 2013 .
[32] Ling Xu. The parameter estimation algorithms based on the dynamical response measurement data , 2017 .
[33] Xiaoxing Zhang,et al. Application of C 6 F 12 O/CO 2 mixture in 10 kV medium‐voltage switchgear , 2019, IET Science, Measurement & Technology.
[34] Meihang Li,et al. Maximum Likelihood Least Squares Based Iterative Estimation for a Class of Bilinear Systems Using the Data Filtering Technique , 2020 .
[35] Feng Ding,et al. Combined state and least squares parameter estimation algorithms for dynamic systems , 2014 .
[36] 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..
[37] Junhong Li,et al. Maximum likelihood identification of dual‐rate Hammerstein output‐error moving average system , 2020 .
[38] Petre Stoica,et al. Recursive nonlinear-system identification using latent variables , 2016, Autom..
[39] Renbin Xiao,et al. Control and Backbone Identification for the Resilient Recovery of a Supply Network Utilizing Outer Synchronization , 2019 .
[40] Ying Shen,et al. Exit problems for jump processes with applications to dividend problems , 2013, J. Comput. Appl. Math..
[41] Er-Wei Bai. An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems , 1998, Autom..
[42] C. Yin,et al. The Perturbed Compound Poisson Risk Process with Investment and Debit Interest , 2010 .
[43] Chen Xu,et al. Hybrid Model Predictive Control Strategy of Supercapacitor Energy Storage System Based on Double Active Bridge , 2019, Energies.
[44] Feng Ding,et al. An efficient hierarchical identification method for general dual-rate sampled-data systems , 2014, Autom..
[45] 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.
[46] W. Shi,et al. Effects of Charge Transport Materials on Blue Fluorescent Organic Light-Emitting Diodes with a Host-Dopant System , 2019, Micromachines.
[47] C. Yin,et al. ON THE OPTIMAL DIVIDEND PROBLEM FOR A SPECTRALLY POSITIVE LÉVY PROCESS , 2013, ASTIN Bulletin.
[48] Wei Chen,et al. Reliability Analysis of Power and Communication Network in Drone Monitoring System , 2019, IEICE Trans. Commun..
[49] 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.
[50] C. Yin,et al. Exact joint laws associated with spectrally negative Lévy processes and applications to insurance risk theory , 2011, 1101.0445.
[51] 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.
[52] Guozhi Zhang,et al. Ladder‐Wise calculation method for z‐coordinate of transformer PD source based on planar layout UHF antenna sensors , 2019, IEEJ Transactions on Electrical and Electronic Engineering.
[53] 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.
[54] Ling Xu,et al. Parameter estimation and controller design for dynamic systems from the step responses based on the Newton iteration , 2015 .
[55] Feng Ding,et al. Identification methods for Hammerstein nonlinear systems , 2011, Digit. Signal Process..
[56] C. Yin,et al. Optimal dividend problems for a jump-diffusion model with capital injections and proportional transaction costs , 2014, 1409.0407.
[57] Yan Ji,et al. Hierarchical least squares parameter estimation algorithm for two-input Hammerstein finite impulse response systems , 2020, J. Frankl. Inst..
[58] Ling Xu,et al. The damping iterative parameter identification method for dynamical systems based on the sine signal measurement , 2016, Signal Process..
[59] C. Yin,et al. Optimal dividends problem with a terminal value for spectrally positive Levy processes , 2013, 1302.6011.
[60] Feng Ding,et al. Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model , 2016, Autom..
[61] J. Chu,et al. Gradient-based and least-squares-based iterative algorithms for Hammerstein systems using the hierarchical identification principle , 2013 .
[62] Jozef Vörös. Parameter identification of Wiener systems with discontinuous nonlinearities , 2001, Syst. Control. Lett..
[63] Yu Wang,et al. Bidirectional Short-Circuit Current Blocker for DC Microgrid Based on Solid-State Circuit Breaker , 2020, Electronics.
[64] Feng Ding,et al. Partially Coupled Stochastic Gradient Identification Methods for Non-Uniformly Sampled Systems , 2010, IEEE Transactions on Automatic Control.
[65] Jing Chen,et al. A new filter‐based stochastic gradient algorithm for dual‐rate ARX models , 2018, International Journal of Adaptive Control and Signal Processing.
[66] Jianqiang Pan,et al. A filtering based multi-innovation extended stochastic gradient algorithm for multivariable control systems , 2017 .
[67] Wan Xiangkui,et al. A T-wave alternans assessment method based on least squares curve fitting technique , 2016 .
[68] Xiangkui Wan,et al. Two-stage Gradient-based Iterative Estimation Methods for Controlled Autoregressive Systems Using the Measurement Data , 2020, International Journal of Control, Automation and Systems.
[69] C. Yin,et al. An extension of Paulsen–Gjessing’s risk model with stochastic return on investments , 2013, 1302.6757.
[70] Nan Zhao,et al. Android-based mobile educational platform for speech signal processing , 2017 .
[71] Yiyang Pei,et al. Dynamic Contract Incentive Mechanism for Cooperative Wireless Networks , 2018, IEEE Transactions on Vehicular Technology.
[72] Yuehong Su,et al. Coordinated control strategy of DC microgrid with hybrid energy storage system to smooth power output fluctuation , 2020 .
[73] Feng Liu,et al. Bio-Inspired Speed Curve Optimization and Sliding Mode Tracking Control for Subway Trains , 2019, IEEE Transactions on Vehicular Technology.
[74] W. Shi,et al. Effects of Postannealing on the Characteristics and Reliability of Polyfluorene Organic Light-Emitting Diodes , 2019, IEEE Transactions on Electron Devices.
[75] Feng Ding,et al. Performance analysis of stochastic gradient algorithms under weak conditions , 2008, Science in China Series F: Information Sciences.
[76] Jing Chen,et al. Hierarchical identification for multivariate Hammerstein systems by using the modified Kalman filter , 2017 .
[77] Zipeng Zhang,et al. Energy Disaggregation of Appliances Consumptions Using HAM Approach , 2019, IEEE Access.
[78] T. Hayat,et al. Hierarchical Parameter Estimation for the Frequency Response Based on the Dynamical Window Data , 2018, International Journal of Control, Automation and Systems.
[79] Mimoun Zelmat,et al. Modelling the nonlinear dynamic behaviour of a boiler‐turbine system using a radial basis function neural network , 2014 .
[80] Wei Chen,et al. A Data-Driven Based Framework of Model Optimization and Neural Network Modeling for Microbial Fuel Cells , 2019, IEEE Access.
[81] F. Ma,et al. Control Strategy for Adaptive Active Energy Harvesting in Sediment Microbial Fuel Cells , 2020 .
[82] Feng Ding,et al. Decomposition- and Gradient-Based Iterative Identification Algorithms for Multivariable Systems Using the Multi-innovation Theory , 2019, Circuits Syst. Signal Process..