Simultaneous and sequential state and parameter estimation using receding-horizon nonlinear Kalman filter

Pavanraj H. Rangegowda; Jayaram Valluru; Sachin C. Patwardhan; Siddhartha Mukhopadhyay

doi:10.1016/j.jprocont.2021.11.003

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Simultaneous and sequential state and parameter estimation using receding-horizon nonlinear Kalman filter

Pavanraj H. Rangegowda Jayaram Valluru Sachin C. Patwardhan Siddhartha Mukhopadhyay

Year: 2021 Journal: Journal of Process Control Vol: 109 Pages: 13-31 Publisher: Elsevier BV

DOI: 10.1016/j.jprocont.2021.11.003

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Keywords:

Estimator Kalman filter Smoothing Computation Control theory (sociology) Extended Kalman filter Mathematics Estimation theory Nonlinear system Maximum a posteriori estimation Optimal estimation Algorithm Mathematical optimization Computer science Statistics Maximum likelihood Artificial intelligence

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Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Advanced Control Systems Optimization

Physical Sciences → Engineering → Control and Systems Engineering

Control Systems and Identification

Physical Sciences → Engineering → Control and Systems Engineering

Simultaneous and sequential state and parameter estimation using receding-horizon nonlinear Kalman filter

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