Train System Identification Based on the Analysis of Real-Time Running Data

Physical Modelling and Use of Modern System Identification for Real-Time Simulation of Spark Ignition Engines in all Phases of Engine Development

10.4271/2004-01-0421 ◽

2004 ◽

Cited By ~ 4

Author(s):

Carsten Krug ◽

Johannes Liebl ◽

Friedrich Munk ◽

Alexander Kämmer ◽

Hans-Christian Reuss

Keyword(s):

System Identification ◽

Real Time ◽

Physical Modelling ◽

Spark Ignition ◽

Spark Ignition Engines ◽

Real Time Simulation ◽

Time Simulation ◽

Modern System ◽

Engine Development

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Online Near Real Time System Identification on a Fixed-Wing Small Unmanned Air Vehicle

2018 AIAA Atmospheric Flight Mechanics Conference ◽

10.2514/6.2018-0295 ◽

2018 ◽

Cited By ~ 2

Author(s):

Han Hsun Lu ◽

Cameron Rogers ◽

Vinicius G. Goecks ◽

John Valasek

Keyword(s):

System Identification ◽

Real Time ◽

Time System ◽

Real Time System ◽

Unmanned Air Vehicle ◽

Air Vehicle

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Real-time issues in continuous system identification

Identification of Continuous-Time Systems ◽

10.1007/978-94-011-3558-0_20 ◽

1991 ◽

pp. 589-637

Author(s):

G. P. Rao ◽

A. Patra ◽

S. Mukhopadhyay

Keyword(s):

System Identification ◽

Real Time ◽

Continuous System

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Implementations of real-time system identification using recursive techniques

Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301) ◽

10.1109/acc.2002.1025419 ◽

2002 ◽

Author(s):

K. Eure

Keyword(s):

System Identification ◽

Real Time ◽

Time System ◽

Real Time System ◽

Recursive Techniques

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95/05574 System identification and real-time pattern recognition by neural networks for an activated sludge process

Fuel and Energy Abstracts ◽

10.1016/0140-6701(95)97282-o ◽

1995 ◽

Vol 36 (5) ◽

pp. 386

Keyword(s):

Neural Networks ◽

Pattern Recognition ◽

System Identification ◽

Activated Sludge ◽

Real Time ◽

Activated Sludge Process ◽

Time Pattern

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Application of the unscented Kalman filter for real-time nonlinear structural system identification

Structural Control and Health Monitoring ◽

10.1002/stc.186 ◽

2007 ◽

Vol 14 (7) ◽

pp. 971-990 ◽

Cited By ~ 169

Author(s):

Meiliang Wu ◽

Andrew W. Smyth

Keyword(s):

Kalman Filter ◽

System Identification ◽

Real Time ◽

Unscented Kalman Filter ◽

Structural System ◽

Nonlinear Structural ◽

Structural System Identification

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Adaptive Filters for Real-Time System Identification and Control

Journal of Guidance Control and Dynamics ◽

10.2514/2.3995 ◽

1997 ◽

Vol 20 (1) ◽

pp. 61-66 ◽

Cited By ~ 9

Author(s):

Tae W. Lim ◽

Albert Bosse ◽

Shalom Fisher

Keyword(s):

System Identification ◽

Real Time ◽

Adaptive Filters ◽

Time System ◽

Real Time System ◽

And Control

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Linear System Identification Using Real-Time Deconvolution

IEEE Transactions on Computers ◽

10.1109/t-c.1970.222852 ◽

1970 ◽

Vol C-19 (12) ◽

pp. 1139-1145 ◽

Cited By ~ 1

Author(s):

M. Depeyrot

Keyword(s):

System Identification ◽

Linear System ◽

Real Time ◽

Linear System Identification

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Hammerstein Models and Real-Time System Identification of Load Dynamics for Voltage Management

IEEE Access ◽

10.1109/access.2018.2849002 ◽

2018 ◽

Vol 6 ◽

pp. 34598-34607 ◽

Cited By ~ 5

Author(s):

Yan Bao ◽

Le Yi Wang ◽

Caisheng Wang ◽

Yang Wang

Keyword(s):

System Identification ◽

Real Time ◽

Time System ◽

Real Time System ◽

Hammerstein Models ◽

Voltage Management

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Near real-time system identification in a wireless sensor network for adaptive feedback control

2009 American Control Conference ◽

10.1109/acc.2009.5160493 ◽

2009 ◽

Cited By ~ 5

Author(s):

R. Andrew Swartz ◽

Jerome P. Lynch ◽

Chin-Hsiung Loh

Keyword(s):

Wireless Sensor Network ◽

System Identification ◽

Feedback Control ◽

Real Time ◽

Sensor Network ◽

Wireless Sensor ◽

Time System ◽

Real Time System ◽

Adaptive Feedback ◽

Adaptive Feedback Control

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