Ellipsoidal Approximations in Set-Membership State Estimation of Linear Discrete-Time Systems

Transactions of the Society of Instrument and Control Engineers ◽

10.9746/sicetr1965.27.1374 ◽

1991 ◽

Vol 27 (12) ◽

pp. 1374-1381 ◽

Author(s):

Masahiro TANAKA ◽

Atsushi OSADA ◽

Tetsuzo TANINO

Keyword(s):

State Estimation ◽

Discrete Time ◽

Discrete Time Systems ◽

Set Membership ◽

Ellipsoidal Approximations ◽

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On State Estimation for Multi-Agent Motion: Discrete-Time Systems

Bulletin of the South Ural State University Series Computational Mathematics and Software Engineering ◽

10.14529/cmse160102 ◽

2016 ◽

Vol 5 (1) ◽

Keyword(s):

State Estimation ◽

Discrete Time ◽

Discrete Time Systems ◽

Multi Agent ◽

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Moving horizon state estimation for constrained discrete-time systems by using fast descent methods

2017 IEEE 56th Annual Conference on Decision and Control (CDC) ◽

10.1109/cdc.2017.8263967 ◽

2017 ◽

Author(s):

Angelo Alessandri ◽

Mauro Gaggero

Keyword(s):

State Estimation ◽

Discrete Time ◽

Descent Methods ◽

Discrete Time Systems ◽

Time Systems ◽

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Guaranteed State Estimation via Direct Polytopic Set Computation for Nonlinear Discrete-Time Systems

IEEE Control Systems Letters ◽

10.1109/lcsys.2021.3138355 ◽

2021 ◽

pp. 1-1

Author(s):

Mohammad Khajenejad ◽

Fatima Shoaib ◽

Sze Zheng Yong

Keyword(s):

State Estimation ◽

Discrete Time ◽

Discrete Time Systems ◽

Guaranteed State Estimation ◽

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Recursive least-squares estimation for the joint input-state estimation of linear discrete time systems with unknown input

Eighth International Multi-Conference on Systems, Signals & Devices ◽

10.1109/ssd.2011.5767500 ◽

2011 ◽

Author(s):

T Bessaoudi ◽

K Khemiri ◽

Faycal Ben Hmida ◽

M Gossa

Keyword(s):

Least Squares ◽

State Estimation ◽

Discrete Time ◽

Least Squares Estimation ◽

Recursive Least Squares ◽

Input State ◽

Unknown Input ◽

Discrete Time Systems ◽

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Constrained state estimation for nonlinear discrete-time systems: stability and moving horizon approximations

IEEE Transactions on Automatic Control ◽

10.1109/tac.2002.808470 ◽

2003 ◽

Vol 48 (2) ◽

pp. 246-258 ◽

Author(s):

C.V. Rao ◽

J.B. Rawlings ◽

D.Q. Mayne

Keyword(s):

State Estimation ◽

Discrete Time ◽

Discrete Time Systems ◽

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State estimation for piecewise affine, discrete time systems with bounded disturbances

2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601) ◽

10.1109/cdc.2004.1429264 ◽

2004 ◽

Author(s):

S.V. Rakovic ◽

D.Q. Mayne

Keyword(s):

State Estimation ◽

Discrete Time ◽

Piecewise Affine ◽

Discrete Time Systems ◽

Bounded Disturbances ◽

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On state estimation for linear discrete-time systems with unknown noise covariances

IEEE Transactions on Automatic Control ◽

10.1109/tac.1979.1101972 ◽

1979 ◽

Vol 24 (2) ◽

pp. 337-340 ◽

Author(s):

J. Tugnait ◽

A. Haddad

Keyword(s):

State Estimation ◽

Discrete Time ◽

Discrete Time Systems ◽

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State estimation of discrete-time systems with arbitrarily correlated noises

International Journal of Adaptive Control and Signal Processing ◽

10.1002/acs.2420 ◽

2013 ◽

Vol 28 (10) ◽

pp. 949-970 ◽

Author(s):

Wei Liu

Keyword(s):

State Estimation ◽

Discrete Time ◽

Discrete Time Systems ◽

Time Systems ◽

Correlated Noises

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State estimation for stochastic discrete-time systems with multiplicative noises and unknown inputs over fading channels

Applied Mathematics and Computation ◽

10.1016/j.amc.2017.09.008 ◽

2018 ◽

Vol 320 ◽

pp. 116-130 ◽

Author(s):

Yueyang Li ◽

Shuai Liu ◽

Maiying Zhong ◽

Steven X. Ding

Keyword(s):

State Estimation ◽

Fading Channels ◽

Discrete Time ◽

Unknown Inputs ◽

Multiplicative Noises ◽

Discrete Time Systems ◽

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Novel recursive optimal filter for the joint input-state estimation in linear discrete-time systems

2013 International Conference on Control, Decision and Information Technologies (CoDIT) ◽

10.1109/codit.2013.6689614 ◽

2013 ◽

Author(s):

Karim Khemiri ◽

Faycal Ben Hmida ◽

Jose Ragot

Keyword(s):

State Estimation ◽

Discrete Time ◽

Optimal Filter ◽

Input State ◽

Discrete Time Systems ◽

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