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Proceedings Papers

A Thermomechanical Model of Machine Tool Spindles for Use in the Design of Reconfigurable Angular Contact Spindle Bearing Load Control Systems

Alex O. Gibson, Jeffrey L. Stein, Jay F. Tu
Proc. ASME. IMECE97, Manufacturing Science and Engineering: Volume 1, 23-30, November 16–21, 1997
Paper No: IMECE1997-1071
DOI: https://doi.org/10.1115/IMECE1997-1071
View Paper titled, A Thermomechanical Model of Machine Tool Spindles for Use in the Design of Reconfigurable Angular Contact Spindle Bearing Load Control Systems
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Topics: Bearings, Control systems, Design, Machine tool spindles, Stress, Thermomechanics, Roller bearings, Thermal expansion, Centrifugal force, Deflection
Proceedings Papers

A Finite Element Model of Thermally Induced Angular Contact Spindle Bearing Loads

Alex O. Gibson, Jeffrey L. Stein
Proc. ASME. IMECE98, Dynamic Systems and Control, 407-414, November 15–20, 1998
Paper No: IMECE1998-0283
DOI: https://doi.org/10.1115/IMECE1998-0283
View Paper titled, A Finite Element Model of Thermally Induced Angular Contact Spindle Bearing Loads
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Topics: Bearings, Finite element model, Stress, Thermal expansion, Temperature gradient, Errors, Finite element analysis, Machine tool spindles, Centrifugal force, Circular cylinders
Journal Articles

Real-Time Trajectory Planning for Automated Vehicle Safety and Performance in Dynamic Environments

Huckleberry Febbo, Paramsothy Jayakumar, Jeffrey L. Stein, Tulga Ersal
Journal: Journal of Autonomous Vehicles and Systems
Article Type: Research Papers
J. Auton. Veh. Sys. October 2021, 1(4): 041001.
Paper No: JAVS-21-1020
DOI: https://doi.org/10.1115/1.4053243
Published Online: December 30, 2021
View Article titled, Real-Time Trajectory Planning for Automated Vehicle Safety and Performance in Dynamic Environments
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Topics: Safety, Trajectories (Physics), Vehicles, Autonomous vehicles
Proceedings Papers

Reduced Order Finite Element Modeling of Thermally Induced Bearing Loads in Machine Tool Spindles

Alex O. Gibson, Jeffrey L. Stein
Proc. ASME. IMECE99, Dynamic Systems and Control, 845-852, November 14–19, 1999
Paper No: IMECE1999-0115
DOI: https://doi.org/10.1115/IMECE1999-0115
View Paper titled, Reduced Order Finite Element Modeling of Thermally Induced Bearing Loads in Machine Tool Spindles
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Topics: Bearings, Finite element analysis, Machine tool spindles, Modeling, Stress, Temperature, Thermal expansion, Cutting, Deflection, Dynamics (Mechanics)
Proceedings Papers

Modeling and Analysis for Thermal Control of Spindles for Reconfigurable Machines

Jeffrey L. Stein, John E. Harder, III
Proc. ASME. IMECE2001, Dynamic Systems and Control, 675-683, November 11–16, 2001
Paper No: IMECE2001/DSC-24584
DOI: https://doi.org/10.1115/IMECE2001/DSC-24584
View Paper titled, Modeling and Analysis for Thermal Control of Spindles for Reconfigurable Machines
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Topics: Actuators, Bearings, Engineering prototypes, Heat, Machinery, Machining, Metal cutting, Modeling, Noise (Sound), Steady state
Proceedings Papers

Target Cascading: A Design Process for Achieving Vehicle Ride and Handling Targets

D. Geoff Rideout, Jeffrey L. Stein, John B. Ferris
Proc. ASME. IMECE2001, Dynamic Systems and Control, 263-273, November 11–16, 2001
Paper No: IMECE2001/DSC-24533
DOI: https://doi.org/10.1115/IMECE2001/DSC-24533
View Paper titled, Target Cascading: A Design Process for Achieving Vehicle Ride and Handling Targets
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Topics: Design, Vehicles, Automotive design, Design methodology, Cycles, Modeling, Optimization, Pressure, Simulation, Springs
Proceedings Papers

An Energy-Enhanced Design of Experiments Method

Bjorn G. Christensen, John B. Ferris, Jeffrey L. Stein
Proc. ASME. IMECE2000, Dynamic Systems and Control: Volume 2, 795-799, November 5–10, 2000
Paper No: IMECE2000-2377
DOI: https://doi.org/10.1115/IMECE2000-2377
View Paper titled, An Energy-Enhanced Design of Experiments Method
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Topics: Experimental design, Design, Computers, Engineering prototypes, Engineering simulation, Engineers, Flow (Dynamics), Simulation, System dynamics, Task analysis
Proceedings Papers

An Energy-Enhanced Design of Experiments Method Applied to Multi-Body Models

Bjorn G. Christensen, John B. Ferris, Jeffrey L. Stein
Proc. ASME. IMECE2000, Dynamic Systems and Control: Volume 1, 527-534, November 5–10, 2000
Paper No: IMECE2000-2344
DOI: https://doi.org/10.1115/IMECE2000-2344
View Paper titled, An Energy-Enhanced Design of Experiments Method Applied to Multi-Body Models
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Topics: Experimental design, Design, Computers, Engineering prototypes, Engineering simulation, Engineers, Flow (Dynamics), Simulation, System dynamics, Task analysis
Proceedings Papers

Analytical Target Cascading in Automotive Vehicle Design

Hyung Min Kim, D. Geoff Rideout, Panos Y. Papalambros, Jeffrey L. Stein
Proc. ASME. IDETC-CIE2001, Volume 2A: 27th Design Automation Conference, 661-670, September 9–12, 2001
Paper No: DETC2001/DAC-21079
DOI: https://doi.org/10.1115/DETC2001/DAC-21079
View Paper titled, Analytical Target Cascading in Automotive Vehicle Design
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Topics: Automotive design, Design, Modeling, Optimization, Product development, Sports, Springs, Systems engineering, Tires, Tradeoffs
Journal Articles

Optimality of Norm-Optimal Iterative Learning Control Among Linear Time Invariant Iterative Learning Control Laws in Terms of Balancing Robustness and Performance

Xinyi Ge, Jeffrey L. Stein, Tulga Ersal
Journal: Journal of Dynamic Systems, Measurement, and Control
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. April 2019, 141(4): 044502.
Paper No: DS-17-1555
DOI: https://doi.org/10.1115/1.4042091
Published Online: December 19, 2018
View Article titled, Optimality of Norm-Optimal Iterative Learning Control Among Linear Time Invariant Iterative Learning Control Laws in Terms of Balancing Robustness and Performance
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Topics: Errors, Filters, Iterative learning control, Robustness, Steady state, Uncertainty
Journal Articles

A Frequency-Dependent Filter Design Approach for Norm-Optimal Iterative Learning Control and Its Fundamental Trade-Off Between Robustness, Convergence Speed, and Steady-State Error

Xinyi Ge, Jeffrey L. Stein, Tulga Ersal
Journal: Journal of Dynamic Systems, Measurement, and Control
Article Type: Research-Article
J. Dyn. Sys., Meas., Control. February 2018, 140(2): 021004.
Paper No: DS-17-1032
DOI: https://doi.org/10.1115/1.4037271
Published Online: September 20, 2017
View Article titled, A Frequency-Dependent Filter Design Approach for Norm-Optimal Iterative Learning Control and Its Fundamental Trade-Off Between Robustness, Convergence Speed, and Steady-State Error
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Topics: Design, Errors, Filters, Iterative learning control, Robustness, Steady state, Tradeoffs, Uncertainty
Journal Articles

Battery State of Health Monitoring by Estimation of Side Reaction Current Density Via Retrospective-Cost Subsystem Identification

Xin Zhou, Dennis S. Bernstein, Jeffrey L. Stein, Tulga Ersal
Journal: Journal of Dynamic Systems, Measurement, and Control
Article Type: Research-Article
J. Dyn. Sys., Meas., Control. September 2017, 139(9): 091007.
Paper No: DS-16-1163
DOI: https://doi.org/10.1115/1.4036030
Published Online: June 5, 2017
View Article titled, Battery State of Health Monitoring by Estimation of Side Reaction Current Density Via Retrospective-Cost Subsystem Identification
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Topics: Batteries, Current density, Errors, Robustness, Modeling, Algorithms
Proceedings Papers

Optimization Based Weighting Matrices Design for Norm Optimal Iterative Learning Control

Xinyi Ge, Jeffrey L. Stein, Tulga Ersal
Proc. ASME. DSCC2016, Volume 2: Mechatronics; Mechatronics and Controls in Advanced Manufacturing; Modeling and Control of Automotive Systems and Combustion Engines; Modeling and Validation; Motion and Vibration Control Applications; Multi-Agent and Networked Systems; Path Planning and Motion Control; Robot Manipulators; Sensors and Actuators; Tracking Control Systems; Uncertain Systems and Robustness; Unmanned, Ground and Surface Robotics; Vehicle Dynamic Controls; Vehicle Dynamics and Traffic Control, V002T28A002, October 12–14, 2016
Paper No: DSCC2016-9758
DOI: https://doi.org/10.1115/DSCC2016-9758
View Paper titled, Optimization Based Weighting Matrices Design for Norm Optimal Iterative Learning Control
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Topics: Design, Iterative learning control, Optimization, Errors, Steady state, Uncertainty, Modeling, Robustness, Simulation
Proceedings Papers

Battery State of Health Monitoring by Estimation of the Number of Cyclable Li-Ions

Xin Zhou, Jeffrey L. Stein, Tulga Ersal
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, V001T08A001, October 12–14, 2016
Paper No: DSCC2016-9730
DOI: https://doi.org/10.1115/DSCC2016-9730
View Paper titled, Battery State of Health Monitoring by Estimation of the Number of Cyclable Li-Ions
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Topics: Batteries, Ions, Algorithms, Electric vehicles, Engineering simulation, Errors, Simulation, Cities, Cycles, Dynamometers
Proceedings Papers

A Combined Plant/Controller Optimization Framework for Hybrid Vehicles With MPG, Emissions and Drivability Considerations

Huckleberry Febbo, Tulga Ersal, Jeffrey L. Stein
Proc. ASME. IDETC-CIE2016, Volume 3: 18th International Conference on Advanced Vehicle Technologies; 13th International Conference on Design Education; 9th Frontiers in Biomedical Devices, V003T01A036, August 21–24, 2016
Paper No: DETC2016-60335
DOI: https://doi.org/10.1115/DETC2016-60335
View Paper titled, A Combined Plant/Controller Optimization Framework for Hybrid Vehicles With MPG, Emissions and Drivability Considerations
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Topics: Control equipment, Emissions, Hybrid electric vehicles, Optimization, Design, Cycles, Tradeoffs, Corporate average fuel economy, Dynamic programming, Fuel consumption
Proceedings Papers

An MPC Algorithm With Combined Speed and Steering Control for Obstacle Avoidance in Autonomous Ground Vehicles

Jiechao Liu, Paramsothy Jayakumar, Jeffrey L. Stein, Tulga Ersal
Proc. ASME. DSCC2015, Volume 3: Multiagent Network Systems; Natural Gas and Heat Exchangers; Path Planning and Motion Control; Powertrain Systems; Rehab Robotics; Robot Manipulators; Rollover Prevention (AVS); Sensors and Actuators; Time Delay Systems; Tracking Control Systems; Uncertain Systems and Robustness; Unmanned, Ground and Surface Robotics; Vehicle Dynamics Control; Vibration and Control of Smart Structures/Mech Systems; Vibration Issues in Mechanical Systems, V003T44A003, October 28–30, 2015
Paper No: DSCC2015-9747
DOI: https://doi.org/10.1115/DSCC2015-9747
View Paper titled, An MPC Algorithm With Combined Speed and Steering Control for Obstacle Avoidance in Autonomous Ground Vehicles
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Topics: Algorithms, Vehicles, Optimization, Navigation, Optimal control, Predictive control, Sensors, Simulation results, Stability, Tires
Proceedings Papers

A Multi-Stage Optimization Formulation for MPC-Based Obstacle Avoidance in Autonomous Vehicles Using a LIDAR Sensor

Jiechao Liu, Paramsothy Jayakumar, Jeffrey L. Stein, Tulga Ersal
Proc. ASME. DSCC2014, Volume 2: Dynamic Modeling and Diagnostics in Biomedical Systems; Dynamics and Control of Wind Energy Systems; Vehicle Energy Management Optimization; Energy Storage, Optimization; Transportation and Grid Applications; Estimation and Identification Methods, Tracking, Detection, Alternative Propulsion Systems; Ground and Space Vehicle Dynamics; Intelligent Transportation Systems and Control; Energy Harvesting; Modeling and Control for Thermo-Fluid Applications, IC Engines, Manufacturing, V002T30A006, October 22–24, 2014
Paper No: DSCC2014-6269
DOI: https://doi.org/10.1115/DSCC2014-6269
View Paper titled, A Multi-Stage Optimization Formulation for MPC-Based Obstacle Avoidance in Autonomous Vehicles Using a LIDAR Sensor
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Topics: Optimization, Sensors, Vehicles, Safety, Algorithms, Delays, Nonlinear programming, Optimal control, Dynamics (Mechanics), Predictive control
Proceedings Papers

Battery State of Health Monitoring by Side Reaction Current Density Estimation via Retrospective-Cost Subsystem Identification

Xin Zhou, Tulga Ersal, Jeffrey L. Stein, Dennis S. Bernstein
Proc. ASME. DSCC2014, Volume 1: Active Control of Aerospace Structure; Motion Control; Aerospace Control; Assistive Robotic Systems; Bio-Inspired Systems; Biomedical/Bioengineering Applications; Building Energy Systems; Condition Based Monitoring; Control Design for Drilling Automation; Control of Ground Vehicles, Manipulators, Mechatronic Systems; Controls for Manufacturing; Distributed Control; Dynamic Modeling for Vehicle Systems; Dynamics and Control of Mobile and Locomotion Robots; Electrochemical Energy Systems, V001T19A002, October 22–24, 2014
Paper No: DSCC2014-6254
DOI: https://doi.org/10.1115/DSCC2014-6254
View Paper titled, Battery State of Health Monitoring by Side Reaction Current Density Estimation via Retrospective-Cost Subsystem Identification
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Topics: Batteries, Current density, Cycles, Algorithms, Cities, Dynamometers, Electric vehicles, Engineering simulation, Excitation, Signals
Journal Articles

An Iterative Learning Control Approach to Improving Fidelity in Internet-Distributed Hardware-in-the-Loop Simulation

Tulga Ersal, Mark Brudnak, Ashwin Salvi, Youngki Kim, Jason B. Siegel, Jeffrey L. Stein
Journal: Journal of Dynamic Systems, Measurement, and Control
Article Type: Research-Article
J. Dyn. Sys., Meas., Control. November 2014, 136(6): 061012.
Paper No: DS-13-1276
DOI: https://doi.org/10.1115/1.4027868
Published Online: August 8, 2014
View Article titled, An Iterative Learning Control Approach to Improving Fidelity in Internet-Distributed Hardware-in-the-Loop Simulation
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Topics: Engines, Internet, Iterative learning control, Simulation, Batteries, Generators, Hardware, Errors
Proceedings Papers

The Role of Model Fidelity in Model Predictive Control Based Hazard Avoidance in Unmanned Ground Vehicles Using LIDAR Sensors

Jiechao Liu, Paramsothy Jayakumar, James L. Overholt, Jeffrey L. Stein, Tulga Ersal
Proc. ASME. DSCC2013, Volume 3: Nonlinear Estimation and Control; Optimization and Optimal Control; Piezoelectric Actuation and Nanoscale Control; Robotics and Manipulators; Sensing; System Identification (Estimation for Automotive Applications, Modeling, Therapeutic Control in Bio-Systems); Variable Structure/Sliding-Mode Control; Vehicles and Human Robotics; Vehicle Dynamics and Control; Vehicle Path Planning and Collision Avoidance; Vibrational and Mechanical Systems; Wind Energy Systems and Control, V003T46A005, October 21–23, 2013
Paper No: DSCC2013-4021
DOI: https://doi.org/10.1115/DSCC2013-4021
View Paper titled, The Role of Model Fidelity in Model Predictive Control Based Hazard Avoidance in Unmanned Ground Vehicles Using LIDAR Sensors
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Topics: Hazards, Predictive control, Sensors, Vehicles, Algorithms, Robots, Vehicle dynamics, Degrees of freedom, Dynamics (Mechanics), Military systems