A multiple model approach to robust control and operation of complex non-linear processes

Computer Aided Chemical Engineering - Process Systems Engineering 2003, 8th International Symposium on Process Systems Engineering ◽

10.1016/s1570-7946(03)80449-2 ◽

2003 ◽

pp. 1064-1069 ◽

Author(s):

F.Y. Wang ◽

P. Bahri ◽

P.L. Lee ◽

I.T. Cameron

Keyword(s):

Robust Control ◽

Multiple Model ◽

Linear Processes ◽

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A multiple model, state feedback strategy for robust control of non-linear processes

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2006.05.008 ◽

2007 ◽

Vol 31 (5-6) ◽

pp. 410-418 ◽

Author(s):

F.Y. Wang ◽

P. Bahri ◽

P.L. Lee ◽

I.T. Cameron

Keyword(s):

Robust Control ◽

State Feedback ◽

Multiple Model ◽

Linear Processes ◽

Feedback Strategy ◽

Model State ◽

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A multiple model, state feedback strategy for robust control of non-linear processes

Computer Aided Chemical Engineering - European Symposium on Computer-Aided Process Engineering-15, 38th European Symposium of the Working Party on Computer Aided Process Engineering ◽

10.1016/s1570-7946(05)80027-6 ◽

2005 ◽

pp. 1111-1116

Author(s):

F.Y. Wang ◽

P. Bahri ◽

P.L. Lee ◽

I.T. Cameron

Keyword(s):

Robust Control ◽

State Feedback ◽

Multiple Model ◽

Linear Processes ◽

Feedback Strategy ◽

Model State ◽

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Robust control design of non-linear processes using empirical state affine models

International Journal of Control ◽

10.1080/00207170050197650 ◽

2000 ◽

Vol 73 (17) ◽

pp. 1525-1535 ◽

Author(s):

Timothy D. Knapp ◽

Hector M. Budman

Keyword(s):

Robust Control ◽

Control Design ◽

Linear Processes ◽

Affine Models ◽

Robust Control Design

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Non-linear dynamic system modelling in noisy environment using multiple model approach

Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334) ◽

10.1109/acc.2000.878596 ◽

2000 ◽

Author(s):

S. Simani ◽

C. Fantuzzi ◽

R. Rovatti ◽

S. Beghelli

Keyword(s):

Dynamic System ◽

Linear Dynamic System ◽

System Modelling ◽

Multiple Model ◽

Noisy Environment ◽

Linear Dynamic ◽

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A multiple-model approach to fault tolerant tracking control for non-linear systems

2012 20th Mediterranean Conference on Control & Automation (MED) ◽

10.1109/med.2012.6265687 ◽

2012 ◽

Author(s):

Montadher Sami ◽

Ron J Patton

Keyword(s):

Linear Systems ◽

Tracking Control ◽

Fault Tolerant ◽

Multiple Model ◽

Non Linear Systems ◽

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Robust control system design with multiple model approach and its application to active flutter control

10.2514/6.1989-3578 ◽

1989 ◽

Author(s):

YOSHIKAZU MIYAZAWA ◽

EARL DOWELL

Keyword(s):

Control System ◽

Robust Control ◽

System Design ◽

Control System Design ◽

Multiple Model ◽

Robust Control System ◽

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The structure of non-linear processes

Tellus ◽

10.3402/tellusa.v25i6.9719 ◽

1973 ◽

Vol 25 (6) ◽

pp. 536-544 ◽

Author(s):

A. Quinet

Keyword(s):

Linear Processes ◽

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Multiple-Model Approach to Over-the-Horizon Radar Tracking Based on Target Perceivability

IEEE Transactions on Aerospace and Electronic Systems ◽

10.1109/taes.2021.3098113 ◽

2021 ◽

pp. 1-1

Author(s):

Leilei Guo ◽

Jian Lan ◽

X. Rong Li

Keyword(s):

Multiple Model ◽

Radar Tracking ◽

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The role of spatial averaging scale in leaf‐to‐canopy scaling of non‐linear processes in homogeneous canopies

Journal of Geophysical Research Biogeosciences ◽

10.1029/2020jg005796 ◽

2021 ◽

Author(s):

Eric R. Kent ◽

Brian N. Bailey

Keyword(s):

Spatial Averaging ◽

Linear Processes ◽

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An Online Multiple-Model Approach to Univariate Time-Series Prediction

Proceedings of ELM-2014 Volume 1 - Proceedings in Adaptation, Learning and Optimization ◽

10.1007/978-3-319-14063-6_19 ◽

2015 ◽

pp. 215-224 ◽

Author(s):

Koshy George ◽

Sachin Prabhu ◽

Prabhanjan Mutalik

Keyword(s):

Time Series ◽

Time Series Prediction ◽

Multiple Model ◽

Univariate Time Series ◽

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