Non-linear minimum variance state-space-based estimation for discrete-time multi-channel systems

IET Signal Processing ◽

10.1049/iet-spr.2009.0064 ◽

2011 ◽

Vol 5 (4) ◽

pp. 365 ◽

Author(s):

M.J. Grimble

Keyword(s):

State Space ◽

Discrete Time ◽

Minimum Variance ◽

Channel Systems

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Non-linear generalised minimum variance control state space design for a second-order Volterra series model

International Journal of Systems Science ◽

10.1080/00207721.2013.874509 ◽

2014 ◽

Vol 46 (14) ◽

pp. 2607-2616 ◽

Author(s):

Mohsen Maboodi ◽

Eduardo F. Camacho ◽

Ali Khaki-Sedigh

Keyword(s):

State Space ◽

Volterra Series ◽

Minimum Variance ◽

Second Order ◽

Minimum Variance Control ◽

Space Design ◽

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Minimum Variance FIR Smoothers for Discrete-Time State Space Models

IEEE Signal Processing Letters ◽

10.1109/lsp.2007.891840 ◽

2007 ◽

Vol 14 (8) ◽

pp. 557-560 ◽

Author(s):

Bo Kyu Kwon ◽

Soohee Han ◽

Oh Kyu Kwon ◽

Wook Hyun Kwon

Keyword(s):

State Space ◽

Discrete Time ◽

Minimum Variance ◽

State Space Models

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Nonlinear Minimum Variance Estimation for Discrete-Time Multi-Channel Systems

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2009.2016999 ◽

2009 ◽

Vol 57 (7) ◽

pp. 2437-2444 ◽

Author(s):

M.J. Grimble ◽

S.A. Naz

Keyword(s):

Discrete Time ◽

Variance Estimation ◽

Minimum Variance ◽

Minimum Variance Estimation ◽

Channel Systems

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Optimal minimum variance estimation for non-linear discrete-time multichannel systems

IET Signal Processing ◽

10.1049/iet-spr.2009.0001 ◽

2010 ◽

Vol 4 (6) ◽

pp. 618 ◽

Author(s):

M.J. Grimble ◽

S. Ali Naz

Keyword(s):

Discrete Time ◽

Variance Estimation ◽

Minimum Variance ◽

Multichannel Systems ◽

Minimum Variance Estimation

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Bounded H∞-control for non-linear discrete-time uncertain systems

2001 European Control Conference (ECC) ◽

10.23919/ecc.2001.7075988 ◽

2001 ◽

Author(s):

T. Takacs

Keyword(s):

Discrete Time ◽

Uncertain Systems ◽

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The discrete time Biquad State Space structure: Low latency with high numerical fidelity

2015 American Control Conference (ACC) ◽

10.1109/acc.2015.7171161 ◽

2015 ◽

Author(s):

Daniel Y. Abramovitch

Keyword(s):

State Space ◽

Discrete Time ◽

Space Structure ◽

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Exponential stability and robustH∞control of a class of discrete-time switched non-linear systems with time-varying delays via T-S fuzzy model

International Journal of Systems Science ◽

10.1080/00207721.2012.745025 ◽

2012 ◽

Vol 45 (5) ◽

pp. 1112-1127 ◽

Author(s):

Yanbing Mao ◽

Hongbin Zhang

Keyword(s):

Exponential Stability ◽

Linear Systems ◽

Discrete Time ◽

Fuzzy Model ◽

Time Varying ◽

Non Linear Systems

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A unified framework for modeling slow response self-powered neutron detectors with discrete-time state-space representation

2013 3rd International Conference on Advancements in Nuclear Instrumentation, Measurement Methods and their Applications (ANIMMA) ◽

10.1109/animma.2013.6728071 ◽

2013 ◽

Author(s):

Daowei Bi ◽

Dongling Xu ◽

Jiangtao Bu

Keyword(s):

State Space ◽

Discrete Time ◽

Space Representation ◽

Slow Response ◽

Unified Framework ◽

Neutron Detectors ◽

State Space Representation ◽

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Minimum-variance fault isolation observers for discrete-time linear systems

52nd IEEE Conference on Decision and Control ◽

10.1109/cdc.2013.6760778 ◽

2013 ◽

Author(s):

Arne Wahrburg ◽

Dominik Haumann ◽

Volker Willert

Keyword(s):

Linear Systems ◽

Discrete Time ◽

Minimum Variance ◽

Fault Isolation ◽

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Modeling the lift DC-DC converter in the state space discrete time

2005 European Conference on Power Electronics and Applications ◽

10.1109/epe.2005.219204 ◽

2005 ◽

Author(s):

F. Belloni ◽

P.G. Maranesi ◽

M. Riva

Keyword(s):

State Space ◽

Discrete Time ◽

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