Search Results | IMECE | ASME Digital Collection

1-20 of 137

2 3 4 5

Sort by

Sort Order Select

Proceedings Papers

Predicting Motion of Engine-Ingested Particles Using Deep Neural Networks

Travis Bowman, Cairen Miranda, John Palmore, Jr.

Proc. ASME. IMECE2022, Volume 3: Advanced Materials: Design, Processing, Characterization and Applications; Advances in Aerospace Technology, V003T04A007, October 30–November 3, 2022

Paper No: IMECE2022-93668

DOI: https://doi.org/10.1115/IMECE2022-93668

View Paper

Topics: Artificial neural networks, Engines, Particulate matter, Flow (Dynamics), Gas turbines, Ice, Fluids, Rotation, Abrasion, Aviation

Proceedings Papers

High-Speed Scanning of Piezo-Probes for Nano-Fabrication

Donald Croft, David McAllister, Santosh Devasia

Proc. ASME. IMECE97, Manufacturing Science and Engineering: Volume 2, 451-458, November 16–21, 1997

Paper No: IMECE1997-1184

DOI: https://doi.org/10.1115/IMECE1997-1184

View Paper

Topics: Nanofabrication, Probes, Vibration, Dynamics (Mechanics), Feedforward control

Proceedings Papers

Combining Adaptive-Passive and Fully Active Noise Control in Ducts

Theodore M. Kostek

Proc. ASME. IMECE97, Noise Control and Acoustics, 293-298, November 16–21, 1997

Paper No: IMECE1997-1056

DOI: https://doi.org/10.1115/IMECE1997-1056

View Paper

Topics: Ducts, Noise control, Acoustics, Algorithms, Design, Dynamics (Mechanics), Feedback, Feedforward control, Filters, Sound pressure

Proceedings Papers

Partial State Feedback Based Real Time Neural Controller: Theory and Experiments

Deepak Shukla, Darren M. Dawson, Frank W. Paul

Proc. ASME. IMECE97, Dynamic Systems and Control, 225-232, November 16–21, 1997

Paper No: IMECE1997-0400

DOI: https://doi.org/10.1115/IMECE1997-0400

View Paper

Topics: Control equipment, State feedback, Artificial neural networks, Adaptive control, Algorithms, Feedforward control, Nonlinear systems, Stability, System dynamics, Theoretical analysis

Proceedings Papers

Recurrent Neural Networks for Fault Diagnosis and Severity Assessment of a Screw Compressor

C. James Li, Yimin Fan

Proc. ASME. IMECE97, Dynamic Systems and Control, 257-264, November 16–21, 1997

Paper No: IMECE1997-0404

DOI: https://doi.org/10.1115/IMECE1997-0404

View Paper

Topics: Artificial neural networks, Compressors, Fault diagnosis, Screws, Feedforward control, Friction, Neural network models, Wear

Proceedings Papers

Vehicle Lateral Control on Automated Highways: A Backstepping Approach

Chieh Chen, Masayoshi Tomizuka

Proc. ASME. IMECE97, Dynamic Systems and Control, 693-700, November 16–21, 1997

Paper No: IMECE1997-0458

DOI: https://doi.org/10.1115/IMECE1997-0458

View Paper

Topics: Highways, Vehicles, Errors, Yaw, Design, Roads, Automobiles, Control equipment, Dynamics (Mechanics), Feedback

Proceedings Papers

Control of I.C. Engines for Emissions and Idle Speed Regulation

Minesh A. Shah, Matthew A. Franchek

Proc. ASME. IMECE97, Dynamic Systems and Control, 685-692, November 16–21, 1997

Paper No: IMECE1997-0457

DOI: https://doi.org/10.1115/IMECE1997-0457

View Paper

Topics: Emissions, Engines, Fuels, Control equipment, Design methodology, Feedback, Feedforward control, Nonlinear dynamics, Stress, Torque

Proceedings Papers

Fast Seek Servo Method Using Two-Degree-of-Freedom Control for Magneto-Optical Disk Drives

Souichi Toyama, Norihisa Yanagihara, Shozo Saegusa, Atsushi Saito

Proc. ASME. IMECE97, 8th International Symposium on Information Storage and Processing Systems, 75-82, November 16–21, 1997

Paper No: IMECE1997-0584

DOI: https://doi.org/10.1115/IMECE1997-0584

View Paper

Topics: Disks, Servomechanisms, Lenses (Optics), Actuators, Control systems, Design, Feedforward control, Signals, Vibration

Proceedings Papers

Nonlinear System Identification Using Lumped Parameter Models With Embedded Feedforward Neural Networks

Yimin Fan, C. James Li

Proc. ASME. IMECE98, Manufacturing Science and Engineering, 579-587, November 15–20, 1998

Paper No: IMECE1998-1071

DOI: https://doi.org/10.1115/IMECE1998-1071

View Paper

Topics: Artificial neural networks, Feedforward control, Lumped parameter models, Nonlinear systems, Algorithms, Trains

Proceedings Papers

Nonlinear Adaptive Learning for Electrohydraulic Control Systems

Danian Zheng, Heather Havlicsek, Andrew Alleyne

Proc. ASME. IMECE98, Fluid Power Systems and Technology, 83-90, November 15–20, 1998

Paper No: IMECE1998-0475

DOI: https://doi.org/10.1115/IMECE1998-0475

View Paper

Topics: Algorithms, Control equipment, Control systems, Cycles, Cylinders, Feedback, Feedforward control, Flow (Dynamics), Friction, Hydraulic cylinders

Proceedings Papers

Experimental Hybrid Active Vibration Control of a Cable-Stayed Bridge

Mark J. Bell, Rahmat Shoureshi

Proc. ASME. IMECE98, Vibration and Noise Control, 185-191, November 15–20, 1998

Paper No: IMECE1998-0419

DOI: https://doi.org/10.1115/IMECE1998-0419

View Paper

Topics: Cable-stayed bridges, Vibration control, Bridges (Structures), Feedback, Feedforward control, Steel, Actuators, Aluminum, Engineering prototypes, Finite element model

Proceedings Papers

Active Vibration Isolation of Plate Structures Using a Kalman Estimator-Based Feed-Forward Controller

Ameen H. El-Sinawi, Reza Kashani

Proc. ASME. IMECE98, Vibration and Noise Control, 173-178, November 15–20, 1998

Paper No: IMECE1998-0417

DOI: https://doi.org/10.1115/IMECE1998-0417

View Paper

Topics: Control equipment, Feedforward control, Plates (structures), Vibration isolation, Excitation, Boundary-value problems, Computers, Vibration

Proceedings Papers

Feedforward/Feedback Active Control With Automotive Applications

Rahmat A. Shoureshi, James Vance

Proc. ASME. IMECE98, Vibration and Noise Control, 167-172, November 15–20, 1998

Paper No: IMECE1998-0416

DOI: https://doi.org/10.1115/IMECE1998-0416

View Paper

Topics: Automotive industry, Feedback, Feedforward control, Acoustics, Noise (Sound), Vehicles, Vibration, Actuators, Control systems, Corporate average fuel economy

Proceedings Papers

Machine Fault Diagnosis Through a Recursive Optimal Pairwise Linear Discriminant Function Method

Shuxin Gu, Jun Ni, Jingxia Yuan, Jay Lee

Proc. ASME. IMECE98, Manufacturing Science and Engineering, 547-554, November 15–20, 1998

Paper No: IMECE1998-1068

DOI: https://doi.org/10.1115/IMECE1998-1068

View Paper

Topics: Fault diagnosis, Machinery, Pattern recognition, Artificial neural networks, Failure, Feedforward control

Proceedings Papers

Digital Feed-Forward Gas Flow Rate Control With a Switched Nozzle Valve

Christopher R. Martin, Todd D. Batzel, Ethan H. Liebmann

Proc. ASME. IMECE2021, Volume 10: Fluids Engineering, V010T10A024, November 1–5, 2021

Paper No: IMECE2021-70549

DOI: https://doi.org/10.1115/IMECE2021-70549

View Paper

Topics: Feedforward control, Gas flow, Nozzles, Valves, Flow (Dynamics), Pressure, Design, Calibration, Closed loop systems, Cycles

Proceedings Papers

Robot Learning From Human Demonstration of Activities of Daily Living (ADL) Tasks

Urvish Trivedi, Redwan Alqasemi, Rajiv Dubey

Proc. ASME. IMECE2021, Volume 6: Design, Systems, and Complexity, V006T06A019, November 1–5, 2021

Paper No: IMECE2021-71643

DOI: https://doi.org/10.1115/IMECE2021-71643

View Paper

Topics: Robots, Trajectories (Physics), Artificial intelligence, Artificial neural networks, Doors, Feedforward control, Internet, Kinematics, Reinforcement learning, Reliability

Proceedings Papers

Error Analysis of Models for the Forces on a Cylinder Undergoing 2-DOF Prescribed Motion in a Stream

Erdem Aktosun, Nikolaos I. Xiros, Jason M. Dahl

Proc. ASME. IMECE2021, Volume 7B: Dynamics, Vibration, and Control, V07BT07A003, November 1–5, 2021

Paper No: IMECE2021-70102

DOI: https://doi.org/10.1115/IMECE2021-70102

View Paper

Topics: Artificial neural networks, Cylinders, Energy harvesting, Error analysis, Vortex-induced vibration, Errors, Drag (Fluid dynamics), Dynamic models, Feedforward control, Cross-flow

Proceedings Papers

Predicting Steam-Gasification Output Using Artificial Neural Networks

Yunye Shi, Diego Yepes Maya, Albert Ratner

Proc. ASME. IMECE2021, Volume 8A: Energy, V08AT08A007, November 1–5, 2021

Paper No: IMECE2021-71635

DOI: https://doi.org/10.1115/IMECE2021-71635

View Paper

Topics: Artificial neural networks, Feedforward control, Fuel gasification, Steam

Proceedings Papers

Prediction of Humid Air Heat Exchanger Performance Using Artificial Neural Networks

Arturo Pacheco-Vega, Mihir Sen, K. T. Yang, Rodney L. McClain

Proc. ASME. IMECE99, Heat Transfer: Volume 3, 307-314, November 14–19, 1999

Paper No: IMECE1999-1087

DOI: https://doi.org/10.1115/IMECE1999-1087

View Paper

Topics: Artificial neural networks, Heat exchangers, Water, Algorithms, Feedforward control, Flow (Dynamics), Heat transfer, Temperature, Trains

Proceedings Papers

Evaluating Variation Reduction Process Control Strategies Through System Modeling

Rajiv Suri, Kevin Otto

Proc. ASME. IMECE99, Manufacturing Science and Engineering, 949-957, November 14–19, 1999

Paper No: IMECE1999-0761

DOI: https://doi.org/10.1115/IMECE1999-0761

View Paper

Topics: Aerospace industry, Computer simulation, Feedback, Feedforward control, Manufacturing systems, Modeling, Process control, Process design

2 3 4 5

NARROW

Predicting Motion of Engine-Ingested Particles Using Deep Neural Networks

High-Speed Scanning of Piezo-Probes for Nano-Fabrication

Combining Adaptive-Passive and Fully Active Noise Control in Ducts

Partial State Feedback Based Real Time Neural Controller: Theory and Experiments

Recurrent Neural Networks for Fault Diagnosis and Severity Assessment of a Screw Compressor

Vehicle Lateral Control on Automated Highways: A Backstepping Approach

Control of I.C. Engines for Emissions and Idle Speed Regulation

Fast Seek Servo Method Using Two-Degree-of-Freedom Control for Magneto-Optical Disk Drives

Nonlinear System Identification Using Lumped Parameter Models With Embedded Feedforward Neural Networks

Nonlinear Adaptive Learning for Electrohydraulic Control Systems

Experimental Hybrid Active Vibration Control of a Cable-Stayed Bridge

Active Vibration Isolation of Plate Structures Using a Kalman Estimator-Based Feed-Forward Controller

Feedforward/Feedback Active Control With Automotive Applications

Machine Fault Diagnosis Through a Recursive Optimal Pairwise Linear Discriminant Function Method

Digital Feed-Forward Gas Flow Rate Control With a Switched Nozzle Valve

Robot Learning From Human Demonstration of Activities of Daily Living (ADL) Tasks

Error Analysis of Models for the Forces on a Cylinder Undergoing 2-DOF Prescribed Motion in a Stream

Predicting Steam-Gasification Output Using Artificial Neural Networks

Prediction of Humid Air Heat Exchanger Performance Using Artificial Neural Networks

Evaluating Variation Reduction Process Control Strategies Through System Modeling

Journals

Conference Proceedings

eBooks

Resources

Opportunities

Journals

Conference Proceedings

eBooks

Resources

Opportunities

This Feature Is Available To Subscribers Only