State estimation for jump markov nonlinear systems of unknown measurement data covariance
暂无分享,去创建一个
Fei Liu | Shunyi Zhao | Choon Ki Ahn | Ke Li | C. Ahn | Fei Liu | Shunyi Zhao | Ke Li
[1] Feng Ding,et al. Iterative Identification of Hammerstein Parameter Varying Systems With Parameter Uncertainties Based on the Variational Bayesian Approach , 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[2] Simon J. Godsill,et al. Bayesian Intent Prediction in Object Tracking Using Bridging Distributions , 2015, IEEE Transactions on Cybernetics.
[3] Simo Särkkä,et al. Non-linear noise adaptive Kalman filtering via variational Bayes , 2013, 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).
[4] Shunyi Zhao,et al. Risk‐sensitive filtering for nonlinear Markov jump systems on the basis of particle approximation , 2012 .
[5] Hongye Su,et al. Quantized Feedback Control of Fuzzy Markov Jump Systems , 2019, IEEE Transactions on Cybernetics.
[6] Yonggang Zhang,et al. A Novel Adaptive Kalman Filter With Inaccurate Process and Measurement Noise Covariance Matrices , 2018, IEEE Transactions on Automatic Control.
[7] George W. Irwin,et al. Multiple model bootstrap filter for maneuvering target tracking , 2000, IEEE Trans. Aerosp. Electron. Syst..
[8] Dan Simon,et al. Kalman Filtering with Uncertain Noise Covariances , 2004 .
[9] Quan Pan,et al. A finite-horizon adaptive Kalman filter for linear systems with unknown disturbances , 2004, Signal Process..
[10] Fei Liu,et al. State estimation in non-linear markov jump systems with uncertain switching probabilities , 2012 .
[11] Simo Särkkä,et al. Recursive Noise Adaptive Kalman Filtering by Variational Bayesian Approximations , 2009, IEEE Transactions on Automatic Control.
[12] Jitendra K. Tugnait,et al. A detection-estimation scheme for state estimation in switching environments , 1979, Autom..
[13] Peng Shi,et al. Bayesian State Estimation for Markovian Jump Systems: Employing Recursive Steps and Pseudocodes , 2019, IEEE Systems, Man, and Cybernetics Magazine.
[14] Fang Deng,et al. A Fast Distributed Variational Bayesian Filtering for Multisensor LTV System With Non-Gaussian Noise , 2019, IEEE Transactions on Cybernetics.
[15] Fangfei Li,et al. Event-Triggered Risk-Sensitive State Estimation for Hidden Markov Models , 2019, IEEE Transactions on Automatic Control.
[16] Choon Ki Ahn,et al. Robust Simultaneous Fault Estimation and Nonfragile Output Feedback Fault-Tolerant Control for Markovian Jump Systems , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[17] Yanjun Ma,et al. Multiple-Model State Estimation Based on Variational Bayesian Inference , 2019, IEEE Transactions on Automatic Control.
[18] R. Mehra. Approaches to adaptive filtering , 1972 .
[19] Yingmin Jia,et al. Brief paper: adaptive filtering for jump markov systems with unknown noise covariance , 2013 .
[20] D. Magill. Optimal adaptive estimation of sampled stochastic processes , 1965 .
[21] Peng Shi,et al. Robust Hinfinity fuzzy filter design for uncertain nonlinear singularly perturbed systems with Markovian jumps: An LMI approach , 2007, Inf. Sci..
[22] Jean-Marc Le Lann,et al. Model-based fault diagnosis for hybrid systems: Application on chemical processes , 2009, Comput. Chem. Eng..
[23] Biao Huang,et al. Bayesian state estimation on finite horizons: The case of linear state-space model , 2017, Autom..
[24] Václav Smídl,et al. Variational Bayesian Filtering , 2008, IEEE Transactions on Signal Processing.
[25] Hongjiu Yang,et al. Adaptive Fuzzy Tracking Control for Strict-Feedback Markov Jumping Nonlinear Systems With Actuator Failures and Unmodeled Dynamics , 2020, IEEE Transactions on Cybernetics.
[26] Jinde Cao,et al. Stability Analysis for Continuous-Time Switched Systems With Stochastic Switching Signals , 2018, IEEE Transactions on Automatic Control.
[27] Fangfei Li,et al. Secure remote state estimation against linear man-in-the-middle attacks using watermarking , 2020, Autom..
[28] Peng Shi,et al. Input—Output Approach to Control for Fuzzy Markov Jump Systems With Time-Varying Delays and Uncertain Packet Dropout Rate , 2015, IEEE Transactions on Cybernetics.
[29] H.A.P. Blom,et al. Exact Bayesian and particle filtering of stochastic hybrid systems , 2007, IEEE Transactions on Aerospace and Electronic Systems.
[30] Peng Qin,et al. Data Fusion Method and Probabilistic Pairing Approach in Elastic Constants Measurement by Resonance Ultrasound Spectroscopy , 2020, IEEE Transactions on Instrumentation and Measurement.
[31] Y. Bar-Shalom,et al. The interacting multiple model algorithm for systems with Markovian switching coefficients , 1988 .
[32] Vikram Krishnamurthy,et al. An improvement to the interacting multiple model (IMM) algorithm , 2001, IEEE Trans. Signal Process..
[33] Yuriy S. Shmaliy,et al. Probabilistic Monitoring of Correlated Sensors for Nonlinear Processes in State Space , 2020, IEEE Transactions on Industrial Electronics.
[34] H. Blom. An efficient filter for abruptly changing systems , 1984 .
[35] Ling Shi,et al. Event-triggered minimax state estimation with a relative entropy constraint , 2019, Autom..
[36] Shunyi Zhao,et al. Trial-and-error or avoiding a guess? Initialization of the Kalman filter , 2020, Autom..
[37] Chenglin Wen,et al. Adaptive Quantized Estimation Fusion Using Strong Tracking Filtering and Variational Bayesian , 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[38] Hiromitsu Kumamoto,et al. Random sampling approach to state estimation in switching environments , 1977, Autom..
[39] Y. Jia,et al. State estimation for jump Markov linear systems by variational Bayesian approximation , 2012 .
[40] Xiaoming Hu,et al. An optimization approach to adaptive Kalman filtering , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.
[41] Henry Leung,et al. Robust Consensus Nonlinear Information Filter for Distributed Sensor Networks With Measurement Outliers , 2019, IEEE Transactions on Cybernetics.
[42] Fei Liu,et al. Detection and Diagnosis of Multiple Faults With Uncertain Modeling Parameters , 2017, IEEE Transactions on Control Systems Technology.
[43] J. Mendel,et al. Maximum-Likelihood Deconvolution: A Journey into Model-Based Signal Processing , 1990 .
[44] K. Ito,et al. On State Estimation in Switching Environments , 1970 .
[45] Hans Driessen,et al. Multiple-model multiple-hypothesis filter for tracking maneuvering targets , 2001, SPIE Optics + Photonics.
[46] Peng Shi,et al. Real-Time Optimal State Estimation of Multi-DOF Industrial Systems Using FIR Filtering , 2017, IEEE Transactions on Industrial Informatics.