Bias Correction-Based Recursive Estimation for Dual-Rate Output-Error Systems with Sampling Noise
暂无分享,去创建一个
Feng Ding | Xuehai Wang | Fang Zhu | F. Ding | Xuehai Wang | Fang Zhu
[1] Umberto Soverini,et al. Maximum likelihood identification of noisy input-output models , 2007, Autom..
[2] Jianqiang Pan,et al. A filtering based multi-innovation extended stochastic gradient algorithm for multivariable control systems , 2017 .
[3] Wan Xiangkui,et al. A T-wave alternans assessment method based on least squares curve fitting technique , 2016 .
[4] 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.
[5] Shuai Liu,et al. On quantized H∞ filtering for multi-rate systems under stochastic communication protocols: The finite-horizon case , 2018, Inf. Sci..
[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] Ranran Liu,et al. Stochastic gradient identification for Hammerstein systems with non-uniformly sampling , 2016, Comput. Syst. Sci. Eng..
[8] Jing Chen,et al. Biased compensation recursive least squares-based threshold algorithm for time-delay rational models via redundant rule , 2018 .
[9] Zhigang Liu,et al. Bias-Compensated Normalized Least-Mean Fourth Algorithm for Noisy Input , 2017, Circuits Syst. Signal Process..
[10] Bo Fu,et al. Quadratic stabilization of switched uncertain linear systems: a convex combination approach , 2019, IEEE/CAA Journal of Automatica Sinica.
[11] Feng Ding,et al. The filtering based parameter identification for bilinear-in-parameter systems , 2019, J. Frankl. Inst..
[12] Jie Ding,et al. Particle filtering‐based recursive identification for controlled auto‐regressive systems with quantised output , 2019, IET Control Theory & Applications.
[13] Jinde Cao,et al. Disparate delays-induced bifurcations in a fractional-order neural network , 2019, J. Frankl. Inst..
[14] Huan Li,et al. Stability and Bifurcation Control in a Fractional Predator-Prey Model via Extended Delay Feedback , 2019, Int. J. Bifurc. Chaos.
[15] Feng Ding,et al. Hierarchical Principle-Based Iterative Parameter Estimation Algorithm for Dual-Frequency Signals , 2019, Circuits Syst. Signal Process..
[16] El Houssaine Tissir,et al. Anti-windup Compensator Synthesis for Sampled-Data Delay Systems , 2018, Circuits Syst. Signal Process..
[17] Guangjun Liu,et al. Robust sensitive fault detection and estimation for single-rate and multirate nonlinear sampled-data systems , 2018, Syst. Control. Lett..
[18] Feng Ding,et al. Filtering based parameter estimation for observer canonical state space systems with colored noise , 2017, J. Frankl. Inst..
[19] Zhen Zhang,et al. Maximum likelihood estimation method for dual-rate Hammerstein systems , 2017 .
[20] Feng Ding,et al. Gradient-Based Particle Filter Algorithm for an ARX Model With Nonlinear Communication Output , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[21] Georgios E. Stavroulakis,et al. Nonlinear discrete-time multirate adaptive control of non-linear vibrations of smart beams , 2018 .
[22] Wei Xing Zheng,et al. Novel parameter estimation of autoregressive signals in the presence of noise , 2015, Autom..
[23] 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.
[24] Zhan Li,et al. An Approach to Fault Detection for Multirate Sampled-Data Systems With Frequency Specifications , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[25] Guo-Ping Jiang,et al. Weighted Parameter Estimation for Hammerstein Nonlinear ARX Systems , 2020, Circuits Syst. Signal Process..
[26] Biao Huang,et al. A review of the Expectation Maximization algorithm in data-driven process identification , 2019, Journal of Process Control.
[27] Yanjun Liu,et al. Recursive Least Squares Algorithm for Nonlinear Dual-rate Systems Using Missing-Output Estimation Model , 2017, Circuits Syst. Signal Process..
[28] Tao Liu,et al. EM-based identification of continuous-time ARMA Models from irregularly sampled data , 2017, Autom..
[29] Feng Ding,et al. Joint state and multi-innovation parameter estimation for time-delay linear systems and its convergence based on the Kalman filtering , 2017, Digit. Signal Process..
[30] Wei Ren,et al. Robustness Analysis of Asynchronous Sampled-Data Multiagent Networks With Time-Varying Delays , 2017, IEEE Transactions on Automatic Control.
[31] Tianhong Pan,et al. Recursive Bayesian Algorithm with Covariance Resetting for Identification of Box–Jenkins Systems with Non-uniformly Sampled Input Data , 2016, Circuits Syst. Signal Process..
[32] Xianqiang Yang,et al. Local Identification of LPV Dual-Rate System With Random Measurement Delays , 2018, IEEE Transactions on Industrial Electronics.
[33] 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..
[34] Hongxu Zhang,et al. Variance-Constrained Recursive State Estimation for Time-Varying Complex Networks With Quantized Measurements and Uncertain Inner Coupling , 2020, IEEE Transactions on Neural Networks and Learning Systems.
[35] 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.
[36] Biao Huang,et al. Variational Bayesian approach for ARX systems with missing observations and varying time-delays , 2018, Autom..
[37] Xiaohua Xia,et al. A Dual-Loop Control System for Dense Medium Coal Washing Processes With Sampled and Delayed Measurements , 2017, IEEE Transactions on Control Systems Technology.
[38] Jing Chen,et al. Hierarchical identification for multivariate Hammerstein systems by using the modified Kalman filter , 2017 .
[39] Feng Ding,et al. Maximum Likelihood Recursive Identification for the Multivariate Equation-Error Autoregressive Moving Average Systems Using the Data Filtering , 2019, IEEE Access.
[40] 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..
[41] Jie Ding,et al. Particle filtering based parameter estimation for systems with output-error type model structures , 2019, J. Frankl. Inst..
[42] Alberto Bemporad,et al. A bias-correction method for closed-loop identification of Linear Parameter-Varying systems , 2018, Autom..
[43] Jinde Cao,et al. Novel bifurcation results for a delayed fractional-order quaternion-valued neural network , 2019, Neural Networks.
[44] Wei Xing Zheng,et al. A bias correction method for identification of linear dynamic errors-in-variables models , 2002, IEEE Trans. Autom. Control..
[45] 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.
[46] 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.
[47] Yang Li,et al. Rapid Relocation Method for Mobile Robot Based on Improved ORB-SLAM2 Algorithm , 2019, Remote. Sens..
[48] Horacio J. Marquez,et al. Integral versions of input-to-state stability for dual-rate nonlinear sampled-data systems , 2018, Syst. Control. Lett..
[49] Feng Ding,et al. Recursive parameter estimation algorithm for multivariate output-error systems , 2018, J. Frankl. Inst..
[50] 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..
[51] Zhidong Su,et al. Dietary Composition Perception Algorithm Using Social Robot Audition for Mandarin Chinese , 2020, IEEE Access.
[52] M. Ksouri,et al. Identification of Continuous-Time Systems with Multiple Unknown Time Delays Using an Output Error Method from Sampled Data , 2018, Circuits Syst. Signal Process..
[53] Jianguo Zhou,et al. Automatic subway tunnel displacement monitoring using robotic total station , 2020 .
[54] Huaicheng Yan,et al. Optimal Tracking Performance of NCSs with Time-delay and Encoding-decoding Constraints , 2020 .
[55] Asoke K. Nandi,et al. Three-Stage Hybrid Fault Diagnosis for Rolling Bearings With Compressively Sampled Data and Subspace Learning Techniques , 2019, IEEE Transactions on Industrial Electronics.
[56] Jun Hu,et al. On state estimation for nonlinear dynamical networks with random sensor delays and coupling strength under event-based communication mechanism , 2020, Inf. Sci..
[57] Shen Yin,et al. Robust Global Identification and Output Estimation for LPV Dual-Rate Systems Subjected to Random Output Time-Delays , 2017, IEEE Transactions on Industrial Informatics.
[58] Ahmed Alsaedi,et al. Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model , 2020, J. Comput. Appl. Math..
[59] Li He,et al. Accurate measurement of pavement deflection velocity under dynamic loads , 2017 .
[60] Ali Karimpour,et al. Identification of continuous‐time switched linear systems from low‐rate sampled data , 2018, IET Control Theory & Applications.
[61] Tao Liu,et al. Identification of dual-rate sampled systems with time delay subject to load disturbance , 2017 .
[62] Xiao Zhang,et al. Hierarchical parameter and state estimation for bilinear systems , 2020, Int. J. Syst. Sci..