Improved gradient descent algorithms for time-delay rational state-space systems: intelligent search method and momentum method
暂无分享,去创建一个
[1] 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.
[2] Erfu Yang,et al. Modeling a nonlinear process using the exponential autoregressive time series model , 2019 .
[3] F. Alsaadi,et al. Recursive parameter identification of the dynamical models for bilinear state space systems , 2017 .
[4] 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.
[5] Yu Zhang,et al. Reconfigurable equilibrium circuit with additional power supply , 2020 .
[6] Feng Ding,et al. Decomposition- and Gradient-Based Iterative Identification Algorithms for Multivariable Systems Using the Multi-innovation Theory , 2019, Circuits Syst. Signal Process..
[7] 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.
[8] Bo Fu,et al. Quadratic stabilization of switched uncertain linear systems: a convex combination approach , 2019, IEEE/CAA Journal of Automatica Sinica.
[9] Dongqing Wang,et al. Model recovery for Hammerstein systems using the auxiliary model based orthogonal matching pursuit method , 2018 .
[10] J. Chu,et al. Gradient-based and least-squares-based iterative algorithms for Hammerstein systems using the hierarchical identification principle , 2013 .
[11] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[12] Axel Kowald,et al. Systems Biology in Practice: Concepts, Implementation and Application , 2005 .
[13] Xiao Zhang,et al. Hierarchical parameter and state estimation for bilinear systems , 2020, Int. J. Syst. Sci..
[14] Mehmet Akar,et al. Fastest random walk on a path , 2019, Int. J. Syst. Sci..
[15] Yanjun Liu,et al. Model recovery for Hammerstein systems using the hierarchical orthogonal matching pursuit method , 2019, J. Comput. Appl. Math..
[16] Wei Xing Zheng,et al. A Recursive Identification Algorithm for Wiener Nonlinear Systems with Linear State-Space Subsystem , 2018, Circuits Syst. Signal Process..
[17] YangQuan Chen,et al. Robust passivity and feedback passification of a class of uncertain fractional-order linear systems , 2019, Int. J. Syst. Sci..
[18] Dingli Yu,et al. An enhanced linear Kalman filter (EnLKF) algorithm for parameter estimation of nonlinear rational models , 2017, Int. J. Syst. Sci..
[19] 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.
[20] Xiangli Li,et al. State space model identification of multirate processes with time-delay using the expectation maximization , 2019, J. Frankl. Inst..
[21] Jing Chen,et al. Biased compensation recursive least squares-based threshold algorithm for time-delay rational models via redundant rule , 2018 .
[22] F. Ding. Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling , 2013 .
[23] Min Gan,et al. Generalized exponential autoregressive models for nonlinear time series: Stationarity, estimation and applications , 2018, Inf. Sci..
[24] F. Ding,et al. Least-squares-based iterative and gradient-based iterative estimation algorithms for bilinear systems , 2017 .
[25] Ahmed Alsaedi,et al. Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model , 2020, J. Comput. Appl. Math..
[26] Hui Liu,et al. Novel Method for Identifying Fault Location of Mixed Lines , 2018, Energies.
[27] Ling Xu,et al. Parameter estimation and controller design for dynamic systems from the step responses based on the Newton iteration , 2015 .
[28] Feng Ding,et al. Identification methods for Hammerstein nonlinear systems , 2011, Digit. Signal Process..
[29] Renbin Xiao,et al. Control and Backbone Identification for the Resilient Recovery of a Supply Network Utilizing Outer Synchronization , 2019 .
[30] Feng Ding,et al. Expectation maximization estimation for a class of input nonlinear state space systems by using the Kalman smoother , 2018, Signal Process..
[31] Jing Chen,et al. Maximum likelihood based identification methods for rational models , 2019, Int. J. Syst. Sci..
[32] Ling Xu,et al. Recursive parameter estimation methods and convergence analysis for a special class of nonlinear systems , 2019, International Journal of Robust and Nonlinear Control.
[33] Ling Xu. The parameter estimation algorithms based on the dynamical response measurement data , 2017 .
[34] Zipeng Zhang,et al. Energy Disaggregation of Appliances Consumptions Using HAM Approach , 2019, IEEE Access.
[35] C. L. Philip Chen,et al. A Regularized Variable Projection Algorithm for Separable Nonlinear Least-Squares Problems , 2019, IEEE Transactions on Automatic Control.
[36] D. Kamenski,et al. Parameter estimation in differential equations by application of rational functions , 1993 .
[37] F. Ding,et al. Recasted models-based hierarchical extended stochastic gradient method for MIMO nonlinear systems , 2017 .
[38] Tao Liu,et al. U-model based predictive control for nonlinear processes with input delay , 2019, Journal of Process Control.
[39] Liang Tang,et al. Joint design and torque feedback experiment of rehabilitation robot , 2020 .
[40] Michel Verhaegen,et al. Subspace Identification of Local Systems in One-Dimensional Homogeneous Networks , 2018, IEEE Transactions on Automatic Control.
[41] Yongji Wang,et al. Review of rational (total) nonlinear dynamic system modelling, identification, and control , 2015, Int. J. Syst. Sci..
[42] S. Billings,et al. Rational model identification using an extended least-squares algorithm , 1991 .
[43] Wei Xing Zheng,et al. A globally consistent nonlinear least squares estimator for identification of nonlinear rational systems , 2017, Autom..
[44] Jianlong Qiu,et al. A Novel EM Identification Method for Hammerstein Systems With Missing Output Data , 2020, IEEE Transactions on Industrial Informatics.
[45] Wan Xiangkui,et al. A T-wave alternans assessment method based on least squares curve fitting technique , 2016 .
[46] 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.
[47] Long Chen,et al. Term Selection for a Class of Separable Nonlinear Models , 2020, IEEE Transactions on Neural Networks and Learning Systems.
[48] Fuqiang Liu,et al. Receding horizon consensus of general linear multi-agent systems with input constraints: An inverse optimality approach , 2016, Autom..
[49] Feng Ding,et al. A multi-innovation state and parameter estimation algorithm for a state space system with d-step state-delay , 2017, Signal Process..
[50] Quanmin Zhu. An implicit least squares algorithm for nonlinear rational model parameter estimation , 2005 .
[51] Ling Xu,et al. The damping iterative parameter identification method for dynamical systems based on the sine signal measurement , 2016, Signal Process..