Multiple Model Approach for CSTR Control

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)57186-4 ◽

1999 ◽

Vol 32 (2) ◽

pp. 6950-6955 ◽

Author(s):

Edward P. Gatzke ◽

Francis J. Doyle

Keyword(s):

Multiple Model ◽

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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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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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Adaptive Filter Design for FDI in Nonlinear Systems Based on Multiple Model Approach

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)36565-5 ◽

2003 ◽

Vol 36 (5) ◽

pp. 645-650 ◽

Author(s):

D. Theilliol ◽

M. Rodrigues ◽

M. Adam-Medina ◽

D. Sauter

Keyword(s):

Nonlinear Systems ◽

Adaptive Filter ◽

Filter Design ◽

Multiple Model ◽

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Robust flight control system design with multiple model approach

Journal of Guidance Control and Dynamics ◽

10.2514/3.20908 ◽

1992 ◽

Vol 15 (3) ◽

pp. 785-788 ◽

Author(s):

Yoshikazu Miyazawa

Keyword(s):

Control System ◽

System Design ◽

Flight Control ◽

Control System Design ◽

Multiple Model ◽

Flight Control System ◽

Robust Flight Control ◽

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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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Particle filtering based multiple-model approach to fault diagnosis in nonlinear stochastic systems

2001 European Control Conference (ECC) ◽

10.23919/ecc.2001.7076109 ◽

2001 ◽

Author(s):

Ping Li ◽

Visakan Kadirkamanathan

Keyword(s):

Fault Diagnosis ◽

Particle Filtering ◽

Stochastic Systems ◽

Multiple Model ◽

Nonlinear Stochastic Systems ◽

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Interacting multiple-model approach to fixed-interval smoothing

Proceedings of 32nd IEEE Conference on Decision and Control ◽

10.1109/cdc.1993.325763 ◽

2002 ◽

Author(s):

R.E. Helmick ◽

W.D. Blair ◽

S.A. Hoffman

Keyword(s):

Fixed Interval ◽

Interacting Multiple Model ◽

Multiple Model ◽

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Online optimal control of a batch fermentation process using multiple model approach

Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171) ◽

10.1109/cdc.1998.760718 ◽

2002 ◽

Author(s):

F. Azimzadeh ◽

H.A. Palizban ◽

J.A. Romagnoli

Keyword(s):

Optimal Control ◽

Batch Fermentation ◽

Fermentation Process ◽

Multiple Model ◽

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ENVIRONMENTAL SYSTEMS MODELLING AND DIAGNOSIS USING A MULTIPLE MODEL APPROACH

Computational Intelligent Systems for Applied Research ◽

10.1142/9789812777102_0047 ◽

2002 ◽

Author(s):

KOMI GASSO ◽

GILLES MOUROT ◽

JOSÉ RAGOT

Keyword(s):

Multiple Model ◽

Environmental Systems ◽

Systems Modelling ◽

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A multiple model approach to respiratory motion prediction for real-time IGRT

Physics in Medicine and Biology ◽

10.1088/0031-9155/53/6/010 ◽

2008 ◽

Vol 53 (6) ◽

pp. 1651-1663 ◽

Author(s):

Devi Putra ◽

Olivier C L Haas ◽

John A Mills ◽

Keith J Burnham

Keyword(s):

Real Time ◽

Respiratory Motion ◽

Motion Prediction ◽

Multiple Model ◽

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