Separation principle for multivariable control: A continuous-time polynomial systems approach

M. J. Grimble

doi:10.1049/ip-cta:19990573

Separation principle for multivariable control: A continuous-time polynomial systems approach

IEE Proceedings - Control Theory and Applications ◽

10.1049/ip-cta:19990573 ◽

1999 ◽

Vol 146 (5) ◽

pp. 457-469 ◽

Cited By ~ 4

Author(s):

M. J. Grimble

Keyword(s):

Continuous Time ◽

Systems Approach ◽

Polynomial Systems ◽

Multivariable Control ◽

Separation Principle

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Polynomial systems approach to continuous-time weighted optimal linear filtering and prediction

IEEE Transactions on Signal Processing ◽

10.1109/78.726829 ◽

1998 ◽

Vol 46 (11) ◽

pp. 3123-3127 ◽

Cited By ~ 3

Author(s):

M.J. Grimble

Keyword(s):

Continuous Time ◽

Systems Approach ◽

Polynomial Systems ◽

Linear Filtering ◽

Optimal Linear ◽

Optimal Linear Filtering

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A separation principle for continuous-time polynomial systems

1999 European Control Conference (ECC) ◽

10.23919/ecc.1999.7099986 ◽

1999 ◽

Author(s):

M. J. Grimble

Keyword(s):

Continuous Time ◽

Polynomial Systems ◽

Separation Principle

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Restricted Structure Polynomial Systems Approach to LPV Generalized Predictive Control

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2021.08.521 ◽

2021 ◽

Vol 54 (6) ◽

pp. 36-42

Author(s):

M. Grimble ◽

S. Alotaibi ◽

P. Majecki

Keyword(s):

Predictive Control ◽

Systems Approach ◽

Polynomial Systems ◽

Generalized Predictive Control

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Discrete-time polynomial systems approach to combined fault monitoring and control

Optimal Control Applications and Methods ◽

10.1002/oca.725 ◽

2003 ◽

Vol 24 (3) ◽

pp. 121-138 ◽

Cited By ~ 5

Author(s):

M. J. Grimble

Keyword(s):

Discrete Time ◽

Systems Approach ◽

Polynomial Systems ◽

Monitoring And Control ◽

Fault Monitoring ◽

And Control

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Modeling and solving continuous-time instantaneous dynamic user equilibria: A differential complementarity systems approach

Transportation Research Part B Methodological ◽

10.1016/j.trb.2011.11.002 ◽

2012 ◽

Vol 46 (3) ◽

pp. 389-408 ◽

Cited By ~ 38

Author(s):

Xuegang (Jeff) Ban ◽

Jong-Shi Pang ◽

Henry X. Liu ◽

Rui Ma

Keyword(s):

Continuous Time ◽

Systems Approach

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Generic single-input observability of continuous-time polynomial systems

10.1109/cdc.1978.267993 ◽

1978 ◽

Cited By ~ 3

Author(s):

Hector Sussmann

Keyword(s):

Continuous Time ◽

Polynomial Systems ◽

Single Input

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Linear filter design for continuous-time polynomial systems with ℒ2-gain guaranteed bound

2015 54th IEEE Conference on Decision and Control (CDC) ◽

10.1109/cdc.2015.7403005 ◽

2015 ◽

Cited By ~ 1

Author(s):

Marcio J. Lacerda ◽

Giorgio Valmorbida ◽

Pedro L. D. Peres

Keyword(s):

Continuous Time ◽

Filter Design ◽

Polynomial Systems ◽

Linear Filter

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On the use of algebraic geometry for the design of high-gain observers for continuous-time polynomial systems

IFAC Proceedings Volumes ◽

10.3182/20140824-6-za-1003.01206 ◽

2014 ◽

Vol 47 (3) ◽

pp. 43-48 ◽

Cited By ~ 7

Author(s):

Laura Menini ◽

Antonio Tornambè

Keyword(s):

Algebraic Geometry ◽

Continuous Time ◽

High Gain ◽

Polynomial Systems

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Polynomial systems approach to optimal linear filtering and prediction

International Journal of Control ◽

10.1080/0020718508961214 ◽

1985 ◽

Vol 41 (6) ◽

pp. 1545-1564 ◽

Cited By ~ 58

Author(s):

M. J. GRIMBLE

Keyword(s):

Systems Approach ◽

Polynomial Systems ◽

Linear Filtering ◽

Optimal Linear ◽

Optimal Linear Filtering

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Nonlinear Estimation Methods: Polynomial Systems Approach

Nonlinear Industrial Control Systems ◽

10.1007/978-1-4471-7457-8_12 ◽

2020 ◽

pp. 553-596

Author(s):

Michael J. Grimble ◽

Paweł Majecki

Keyword(s):

Systems Approach ◽

Nonlinear Estimation ◽

Polynomial Systems ◽

Estimation Methods

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