Moving horizon estimation for multirate systems with time-varying time-delays
暂无分享,去创建一个
Jicheng Liu | Ya Gu | Yongxin Chou | Yan Ji | Yan Ji | Yongxin Chou | Ya Gu | Jicheng Liu
[1] Feng Ding,et al. States based iterative parameter estimation for a state space model with multi-state delays using decomposition , 2015, Signal Process..
[2] Joaqun Mguez,et al. Analysis of a nonlinear importance sampling scheme for Bayesian parameter estimation in state-space models , 2018 .
[3] Tyrone L. Vincent,et al. Multiple window moving horizon estimation , 2014, Autom..
[4] Feng Ding,et al. Least squares based iterative algorithms for identifying Box-Jenkins models with finite measurement data , 2010, Digit. Signal Process..
[5] Feng Ding,et al. Iterative Parameter Estimation for Signal Models Based on Measured Data , 2018, Circuits Syst. Signal Process..
[6] Feng Ding,et al. Parameter estimation for control systems based on impulse responses , 2017 .
[7] Ling Xu. The parameter estimation algorithms based on the dynamical response measurement data , 2017 .
[8] Feng Liu. Boundedness and continuity of maximal operators associated to polynomial compound curves on Triebel-Lizorkin spaces , 2019, Mathematical Inequalities & Applications.
[9] Malini Ghosal,et al. Fusion of Multirate Measurements for Nonlinear Dynamic State Estimation of the Power Systems , 2019, IEEE Transactions on Smart Grid.
[10] Min Liu,et al. Research on a handwritten character recognition algorithm based on an extended nonlinear kernel residual network , 2018, KSII Trans. Internet Inf. Syst..
[11] Feng Ding,et al. Combined state and least squares parameter estimation algorithms for dynamic systems , 2014 .
[12] Jiling Ding,et al. The Hierarchical Iterative Identification Algorithm for Multi-Input-Output-Error Systems with Autoregressive Noise , 2017, Complex..
[13] Feng Ding,et al. State filtering and parameter estimation for linear systems with d-step state-delay , 2014, IET Signal Process..
[14] Feng Ding,et al. Hierarchical Newton and least squares iterative estimation algorithm for dynamic systems by transfer functions based on the impulse responses , 2018, Int. J. Syst. Sci..
[15] Giorgio Battistelli,et al. Moving-horizon state estimation for nonlinear discrete-time systems: New stability results and approximation schemes , 2008, Autom..
[16] Dan Simon,et al. Multirate multisensor data fusion for linear systems using Kalman filters and a neural network , 2014 .
[17] Yasser Shekofteh,et al. A New Chaotic System with a Self-Excited Attractor: Entropy Measurement, Signal Encryption, and Parameter Estimation , 2018, Entropy.
[18] Feng Ding,et al. A filtering based multi-innovation gradient estimation algorithm and performance analysis for nonlinear dynamical systems , 2017 .
[19] Feng Ding,et al. Brief Paper - Gradient-based iterative algorithm for a class of the coupled matrix equations related to control systems , 2014 .
[20] R. K. Wood,et al. Terminal composition control of a binary distillation column , 1973 .
[21] Yuan Cao,et al. Research on dynamic nonlinear input prediction of fault diagnosis based on fractional differential operator equation in high-speed train control system. , 2019, Chaos.
[22] Feng Ding,et al. Recursive parameter estimation algorithm for multivariate output-error systems , 2018, J. Frankl. Inst..
[23] Liang Liang,et al. Optimization of Information Interaction Protocols in Cooperative Vehicle-Infrastructure Systems , 2018 .
[24] Lorenzo Fagiano,et al. A combined Moving Horizon and Direct Virtual Sensor approach for constrained nonlinear estimation , 2013, Autom..
[25] Wen-an Zhang,et al. Moving Horizon Estimation for Networked Systems With Quantized Measurements and Packet Dropouts , 2013, IEEE Transactions on Circuits and Systems I: Regular Papers.
[26] M. Neubert,et al. Nonlinear state estimation for the Czochralski process based on the weighing signal using an extended Kalman filter , 2015 .
[27] Yinghong Wen,et al. Performance Evaluation with Improved Receiver Design for Asynchronous Coordinated Multipoint Transmissions , 2016 .
[28] Erfu Yang,et al. State filtering‐based least squares parameter estimation for bilinear systems using the hierarchical identification principle , 2018, IET Control Theory & Applications.
[29] Feng Ding,et al. Decomposition based fast least squares algorithm for output error systems , 2013, Signal Process..
[30] Bo Yu,et al. Robust mixed H2/H∞ control of networked control systems with random time delays in both forward and backward communication links , 2011, Autom..
[31] Peng Li,et al. Parallel processing algorithm for railway signal fault diagnosis data based on cloud computing , 2018, Future Gener. Comput. Syst..
[32] L. Biegler,et al. A Moving Horizon Estimator for processes with multi-rate measurements: A Nonlinear Programming sensitivity approach , 2012 .
[33] Feng Ding,et al. Hierarchical Principle-Based Iterative Parameter Estimation Algorithm for Dual-Frequency Signals , 2019, Circuits Syst. Signal Process..
[34] Erfu Yang,et al. Modeling a nonlinear process using the exponential autoregressive time series model , 2019 .
[35] F. Alsaadi,et al. Recursive parameter identification of the dynamical models for bilinear state space systems , 2017 .
[36] 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.
[37] 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.
[38] Sreten B. Stojanovic. Robust finite-time stability of discrete time systems with interval time-varying delay and nonlinear perturbations , 2017, J. Frankl. Inst..
[39] Emilio Frazzoli,et al. Simultaneous Input and State Estimation for Linear Time-Varying Continuous-Time Stochastic Systems , 2017, IEEE Transactions on Automatic Control.
[40] Richard D. Braatz,et al. Fast moving horizon estimation for a two-dimensional distributed parameter system , 2014, Comput. Chem. Eng..
[41] Wen-Qin Wang,et al. Sparsity-aware transmit beamspace design for FDA-MIMO radar , 2018, Signal Process..
[42] Feng Liu,et al. Boundedness and continuity of maximal singular integrals and maximal functions on Triebel-Lizorkin spaces , 2020 .
[43] C. Papadimitriou,et al. A dual Kalman filter approach for state estimation via output-only acceleration measurements , 2015 .
[44] Feng Ding,et al. Iterative algorithms for X+ATX-1A=I by using the hierarchical identification principle , 2016, J. Frankl. Inst..
[45] Wen-an Zhang,et al. Moving Horizon Estimation for Mobile Robots With Multirate Sampling , 2017, IEEE Transactions on Industrial Electronics.
[46] Rui Liu,et al. Contract design for relay incentive mechanism under dual asymmetric information in cooperative networks , 2018, Wirel. Networks.
[47] Xia Zhang,et al. Standard Analysis for Transfer Delay in CTCS-3 , 2017 .
[48] Y. Liu,et al. Gradient-based and least-squares-based iterative estimation algorithms for multi-input multi-output systems , 2012, J. Syst. Control. Eng..
[49] René Schneider,et al. A Solution for the Partitioning Problem in Partition-Based Moving-Horizon Estimation , 2017, IEEE Transactions on Automatic Control.
[50] Enmin Feng,et al. Robust parameter identification using parallel global optimization for a batch nonlinear enzyme-catalytic time-delayed process presenting metabolic discontinuities , 2017 .
[51] Feng Ding,et al. Gradient-based iterative identification method for multivariate equation-error autoregressive moving average systems using the decomposition technique , 2019, J. Frankl. Inst..
[52] M. Gilson,et al. Robust identification of continuous-time models with arbitrary time-delay from irregularly sampled data , 2015 .
[53] Chunling Du,et al. A general multirate approach for direct closed-loop identification to the Nyquist frequency and beyond , 2015, Autom..
[54] Biao Huang,et al. Moving horizon estimation for switching nonlinear systems , 2013, Autom..
[55] F. Ding. Two-stage least squares based iterative estimation algorithm for CARARMA system modeling ☆ , 2013 .
[56] J. Chu,et al. Gradient-based and least-squares-based iterative algorithms for Hammerstein systems using the hierarchical identification principle , 2013 .
[57] Feng Ding,et al. Combined state and parameter estimation for a bilinear state space system with moving average noise , 2018, J. Frankl. Inst..
[58] Feng Ding,et al. A property of the eigenvalues of the symmetric positive definite matrix and the iterative algorithm for coupled Sylvester matrix equations , 2014, J. Frankl. Inst..
[59] Xiangli Li,et al. State space model identification of multirate processes with time-delay using the expectation maximization , 2019, J. Frankl. Inst..
[60] Feng Ding,et al. Auxiliary Model-Based Recursive Generalized Least Squares Algorithm for Multivariate Output-Error Autoregressive Systems Using the Data Filtering , 2018, Circuits Syst. Signal Process..
[61] Graham C. Goodwin,et al. A combined MAP and Bayesian scheme for finite data and/or moving horizon estimation , 2014, Autom..
[62] Feng Liu,et al. Boundedness and continuity of Marcinkiewicz integrals associated to homogeneous mappings on Triebel-Lizorkin spaces , 2019, Frontiers of Mathematics in China.
[63] Feng Ding,et al. Gradient based and least-squares based iterative identification methods for OE and OEMA systems , 2010, Digit. Signal Process..
[64] Sirish L. Shah,et al. Recursive constrained state estimation using modified extended Kalman filter , 2014, Comput. Chem. Eng..
[65] Jian Pan,et al. Adaptive Gradient-Based Iterative Algorithm for Multivariable Controlled Autoregressive Moving Average Systems Using the Data Filtering Technique , 2018, Complex..