Parameter estimation for nonlinear systems with multirate measurements and random delays

[1]  Biao Huang,et al.  Kalman filtering approach to multi-rate information fusion in the presence of irregular sampling rate and variable measurement delay ☆ , 2017 .

[2]  R. Bhushan Gopaluni,et al.  Nonlinear system identification under missing observations: The case of unknown model structure , 2010 .

[3]  Chen Ling,et al.  Multi-rate Sampled-data Observer Design for Nonlinear Systems with Asynchronous and Delayed Measurements , 2019, 2019 American Control Conference (ACC).

[4]  Xiaohua Xia,et al.  Continuous observer design for a class of multi-output nonlinear systems with multi-rate sampled and delayed output measurements , 2017, Autom..

[5]  Brett Ninness,et al.  ROBUST AND SIMPLE ALGORITHMS FOR MAXIMUM LIKELIHOOD ESTIMATION OF MULTIVARIABLE SYSTEMS , 2002 .

[6]  Biao Huang,et al.  FIR model identification of multirate processes with random delays using EM algorithm , 2013 .

[7]  Ian K. Craig,et al.  Dual particle filters for state and parameter estimation with application to a run-of-mine ore mill , 2012 .

[8]  Biao Huang,et al.  State Estimation for Multirate Measurements in the Presence of Integral Term and Variable Delay , 2021, IEEE Transactions on Control Systems Technology.

[9]  Alireza Fatehi,et al.  State Estimation and Fusion in the Presence of Integrated Measurement , 2017, IEEE Transactions on Instrumentation and Measurement.

[10]  Alireza Fatehi,et al.  Identification of Slow-Rate Integrated Measurement Systems Using Expectation–Maximization Algorithm , 2020, IEEE Transactions on Instrumentation and Measurement.

[11]  Chen Ling,et al.  Multirate Sampled-Data Observer Design Based on a Continuous-Time Design , 2019, IEEE Transactions on Automatic Control.

[12]  R. B. Gopaluni.  A particle filter approach to identification of nonlinear processes under missing observations , 2008 .

[13]  Christophe Andrieu,et al.  Particle methods for change detection, system identification, and control , 2004, Proceedings of the IEEE.

[14]  Biao Huang,et al.  Identification of nonlinear parameter varying systems with missing output data , 2012 .

[15]  Alireza Fatehi,et al.  Bayesian state estimation in the presence of slow-rate integrated measurement , 2020, Int. J. Syst. Sci..

[16]  Biao Huang,et al.  State estimation incorporating infrequent, delayed and integral measurements , 2015, Autom..

[17]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[18]  Sirish L. Shah,et al.  A comparison of simultaneous state and parameter estimation schemes for a continuous fermentor reactor , 2010 .

[19]  Horacio J. Marquez,et al.  Multirate Observers for Nonlinear Sampled-Data Systems Using Input-to-State Stability and Discrete-Time Approximation , 2014, IEEE Transactions on Automatic Control.

[20]  Biao Huang,et al.  Variational Bayesian approach for ARX systems with missing observations and varying time-delays , 2018, Autom..

[21]  B. Bequette,et al.  Product property and production rate control of styrene polymerization , 2002 .

[22]  G.C. Goodwin,et al.  Approximate EM Algorithms for Parameter and State Estimation in Nonlinear Stochastic Models , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[23]  Alireza Fatehi,et al.  Robust Estimation of ARX Models With Time Varying Time Delays Using Variational Bayesian Approach , 2018, IEEE Transactions on Cybernetics.

[24]  R. Shumway,et al.  AN APPROACH TO TIME SERIES SMOOTHING AND FORECASTING USING THE EM ALGORITHM , 1982 .

[25]  Alireza Fatehi,et al.  State Estimation of Slow-Rate Integrated Measurement Systems in the Presence of Parametric Uncertainties , 2019, IEEE Transactions on Instrumentation and Measurement.

[26]  A. Doucet,et al.  Online sampling for parameter estimation in general state space models , 2003 .

[27]  Biao Huang,et al.  Development and industrial application of soft sensors with on-line Bayesian model updating strategy , 2013 .

[28]  Hosam K. Fathy,et al.  Recursive maximum likelihood parameter estimation for state space systems using polynomial chaos theory , 2011, Autom..

[29]  Sandro Macchietto,et al.  Designing robust optimal dynamic experiments , 2002 .

[30]  Zoubin Ghahramani,et al.  Learning Nonlinear Dynamical Systems Using an EM Algorithm , 1998, NIPS.

[31]  David S. Stoffer,et al.  Time series analysis and its applications , 2000 .