Comments on two recent papers on reduced-order optimal state estimation for linear systems with partially noise corrupted measurement

IEEE Transactions on Automatic Control ◽

10.1109/tac.1982.1102859 ◽

1982 ◽

Vol 27 (1) ◽

pp. 280-282 ◽

Author(s):

J. O'Reilly

Keyword(s):

State Estimation ◽

Linear Systems ◽

Reduced Order ◽

Optimal State ◽

Optimal State Estimation

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Reply to authorś reply to "Comments on two recent papers on reduced-order optimal state estimation for linear systems with partially noise corrupted measurement"

IEEE Transactions on Automatic Control ◽

10.1109/tac.1982.1103095 ◽

1982 ◽

Vol 27 (6) ◽

pp. 1266-1266 ◽

Author(s):

J. O'Reilly

Keyword(s):

State Estimation ◽

Linear Systems ◽

Reduced Order ◽

Optimal State ◽

Optimal State Estimation

Download Full-text

Optimal State Estimation for Linear Systems with State Constraints

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2015.08.173 ◽

2015 ◽

Vol 48 (8) ◽

pp. 153-157

Author(s):

Xiaodong Xu ◽

Biao Huang ◽

Stevan Dubljevic

Keyword(s):

State Estimation ◽

Linear Systems ◽

State Constraints ◽

Optimal State ◽

Optimal State Estimation

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A reduced-order stochastic observer approach to optimal state estimation with noise-free measurements

Optimal Control Applications and Methods ◽

10.1002/oca.690 ◽

2001 ◽

Vol 22 (3) ◽

pp. 151-156

Author(s):

Edwin Engin Yaz ◽

Yvonne Ilke Yaz

Keyword(s):

State Estimation ◽

Reduced Order ◽

Optimal State ◽

Optimal State Estimation

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Optimal state estimation and parameters identification of MIMO uncertain discrete stochastic linear systems

Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207) ◽

10.1109/acc.1998.703284 ◽

1998 ◽

Author(s):

I. Rusnak

Keyword(s):

State Estimation ◽

Linear Systems ◽

Parameters Identification ◽

Optimal State ◽

Optimal State Estimation ◽

Stochastic Linear Systems

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Optimal state estimation for discrete-time Markovian Jump Linear Systems, in the presence of delayed mode observations

2008 American Control Conference ◽

10.1109/acc.2008.4587045 ◽

2008 ◽

Author(s):

Ion Matei ◽

Nuno C. Martins ◽

John S. Baras

Keyword(s):

State Estimation ◽

Linear Systems ◽

Discrete Time ◽

Markovian Jump ◽

Jump Linear Systems ◽

Optimal State ◽

Markovian Jump Linear Systems ◽

Optimal State Estimation

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Approximate Gauss–Newton methods for optimal state estimation using reduced-order models

International Journal for Numerical Methods in Fluids ◽

10.1002/fld.1629 ◽

2008 ◽

Vol 56 (8) ◽

pp. 1367-1373 ◽

Author(s):

A. S. Lawless ◽

N. K. Nichols ◽

C. Boess ◽

A. Bunse-Gerstner

Keyword(s):

State Estimation ◽

Reduced Order Models ◽

Newton Methods ◽

Reduced Order ◽

Optimal State ◽

Optimal State Estimation

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Optimal state estimation and parameters identification of MIMO uncertain stochastic linear systems

1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century ◽

10.1109/icsmc.1995.538409 ◽

2002 ◽

Author(s):

I. Rusnak

Keyword(s):

State Estimation ◽

Linear Systems ◽

Parameters Identification ◽

Optimal State ◽

Optimal State Estimation ◽

Stochastic Linear Systems

Download Full-text

Optimal state estimation for Markov jump linear systems subject to transmission delays and data losses

2017 36th Chinese Control Conference (CCC) ◽

10.23919/chicc.2017.8027754 ◽

2017 ◽

Author(s):

Chunyan Han ◽

Wei Wang

Keyword(s):

State Estimation ◽

Linear Systems ◽

Markov Jump ◽

Jump Linear Systems ◽

Transmission Delays ◽

Optimal State ◽

Markov Jump Linear Systems ◽

Optimal State Estimation

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Optimal State Estimation for Discrete-Time Markovian Jump Linear Systems, in the Presence of Delayed Output Observations

IEEE Transactions on Automatic Control ◽

10.1109/tac.2011.2160027 ◽

2011 ◽

Vol 56 (9) ◽

pp. 2235-2240 ◽

Author(s):

Ion Matei ◽

John S. Baras

Keyword(s):

State Estimation ◽

Linear Systems ◽

Discrete Time ◽

Markovian Jump ◽

Jump Linear Systems ◽

Optimal State ◽

Markovian Jump Linear Systems ◽

Optimal State Estimation

Download Full-text

Optimal state estimation for discrete-time Markovian Jump Linear Systems, in the presence of delayed output observations

2008 IEEE Information Theory Workshop ◽

10.1109/itw.2008.4578658 ◽

2008 ◽

Author(s):

Ion Matei ◽

Nuno Martins ◽

John S. Baras

Keyword(s):

State Estimation ◽

Linear Systems ◽

Discrete Time ◽

Markovian Jump ◽

Jump Linear Systems ◽

Optimal State ◽

Markovian Jump Linear Systems ◽

Optimal State Estimation

Download Full-text