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Proceedings Papers

Characterizing Combustion Instability Using Deep Convolutional Neural Network

Tryambak Gangopadhyay, Anthony Locurto, Paige Boor, James B. Michael, Soumik Sarkar
Proc. ASME. DSCC2018, Volume 1: Advances in Control Design Methods; Advances in Nonlinear Control; Advances in Robotics; Assistive and Rehabilitation Robotics; Automotive Dynamics and Emerging Powertrain Technologies; Automotive Systems; Bio Engineering Applications; Bio-Mechatronics and Physical Human Robot Interaction; Biomedical and Neural Systems; Biomedical and Neural Systems Modeling, Diagnostics, and Healthcare, V001T13A004, September 30–October 3, 2018
Paper No: DSCC2018-9208
DOI: https://doi.org/10.1115/DSCC2018-9208
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Topics: Artificial neural networks, Combustion, Trains, Acoustics, Combustion systems, Flames, Robustness, Sound pressure, Transients (Dynamics)
Proceedings Papers

Detection and Analysis of Combustion Instability From Hi-Speed Flame Images Using Dynamic Mode Decomposition

Sambuddha Ghosal, Vikram Ramanan, Soumalya Sarkar, Satyanarayanan R. Chakravarthy, Soumik Sarkar
Proc. ASME. DSCC2016, Volume 1: Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation, V001T12A005, October 12–14, 2016
Paper No: DSCC2016-9907
DOI: https://doi.org/10.1115/DSCC2016-9907
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Topics: Combustion, Flames, Dynamics (Mechanics), Flow (Dynamics), Stability, Combustion chambers, Computer simulation, Feature extraction, Flight, Fluid dynamics
Proceedings Papers

A Phenomenological Model for Predicting the Combustion Phasing and Variability of Spark Assisted Compression Ignition (SACI) Engines

Niket Prakash, Jason B. Martz, Anna G. Stefanopoulou
Proc. ASME. DSCC2015, Volume 1: Adaptive and Intelligent Systems Control; Advances in Control Design Methods; Advances in Non-Linear and Optimal Control; Advances in Robotics; Advances in Wind Energy Systems; Aerospace Applications; Aerospace Power Optimization; Assistive Robotics; Automotive 2: Hybrid Electric Vehicles; Automotive 3: Internal Combustion Engines; Automotive Engine Control; Battery Management; Bio Engineering Applications; Biomed and Neural Systems; Connected Vehicles; Control of Robotic Systems, V001T11A004, October 28–30, 2015
Paper No: DSCC2015-9883
DOI: https://doi.org/10.1115/DSCC2015-9883
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Topics: Combustion, Compression, Engines, Ignition, Actuators, Cycles, Fuels, Feedback, Filters, Flames
Proceedings Papers

Control Oriented Modeling and Nonlinear Model Predictive Control of Advanced SI Engine System

Tae-Kyung Lee, Zoran S. Filipi
Proc. ASME. DSCC2010, ASME 2010 Dynamic Systems and Control Conference, Volume 1, 641-648, September 12–15, 2010
Paper No: DSCC2010-4024
DOI: https://doi.org/10.1115/DSCC2010-4024
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Topics: Modeling, Predictive control, Spark-ignition engine, Combustion, Engines, Actuators, Artificial neural networks, Dynamics (Mechanics), Simulation, Transients (Dynamics)