1-9 of 9
Keval S. Ramani
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Toward Intelligent Online Scan Sequence Optimization for Uniform Temperature Distribution in LPBF Additive Manufacturing

Keval S. Ramani, Ehsan Malekipour, Chinedum E. Okwudire
Proc. ASME. MSEC2021, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T01A023, June 21–25, 2021
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2021-63870
https://doi.org/10.1115/MSEC2021-63870
View Paper titled, Toward Intelligent Online Scan Sequence Optimization for Uniform Temperature Distribution in LPBF Additive Manufacturing
Open the PDF for Toward Intelligent Online Scan Sequence Optimization for Uniform Temperature Distribution in LPBF Additive Manufacturing in another window
Topics: Additive manufacturing, Optimization, Temperature distribution, Lasers, Machinery, Calibration, Deformation, Errors, Metals, Physics
Journal Articles

Optimal Selection of Basis Functions for Robust Tracking Control of Uncertain Linear Systems—With Application to Three-Dimensional Printing

Keval S. Ramani, Chinedum E. Okwudire
Journal: Journal of Dynamic Systems, Measurement, and Control
Publisher: ASME
Article Type: Research-Article
J. Dyn. Sys., Meas., Control. October 2021, 143(10): 101006.
Paper No: DS-20-1288
https://doi.org/10.1115/1.4051097
Published Online: June 7, 2021
View Article titled, Optimal Selection of Basis Functions for Robust Tracking Control of Uncertain Linear Systems—With Application to Three-Dimensional Printing
Open the PDF for Optimal Selection of Basis Functions for Robust Tracking Control of Uncertain Linear Systems—With Application to Three-Dimensional Printing in another window
Topics: B-splines, Dynamics (Mechanics), Errors, Linear systems, Tracking control, Uncertainty, Feedforward control, Control equipment
Proceedings Papers

Two-Stage Robust Tracking Controller for Linear Systems With Known Uncertainty Using Filtered Basis Functions

Keval S. Ramani, Chinedum E. Okwudire
Proc. ASME. DSCC2020, Volume 2: Intelligent Transportation/Vehicles; Manufacturing; Mechatronics; Engine/After-Treatment Systems; Soft Actuators/Manipulators; Modeling/Validation; Motion/Vibration Control Applications; Multi-Agent/Networked Systems; Path Planning/Motion Control; Renewable/Smart Energy Systems; Security/Privacy of Cyber-Physical Systems; Sensors/Actuators; Tracking Control Systems; Unmanned Ground/Aerial Vehicles; Vehicle Dynamics, Estimation, Control; Vibration/Control Systems; Vibrations, V002T35A001, October 5–7, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2020-3207
https://doi.org/10.1115/DSCC2020-3207
View Paper titled, Two-Stage Robust Tracking Controller for Linear Systems With Known Uncertainty Using Filtered Basis Functions
Open the PDF for Two-Stage Robust Tracking Controller for Linear Systems With Known Uncertainty Using Filtered Basis Functions in another window
Topics: Control equipment, Linear systems, Uncertainty, Dynamics (Mechanics), Errors, Filtration, Tracking control
Journal Articles

Optimal Selection of Basis Functions for Minimum-Effort Tracking Control of Nonminimum Phase Systems Using Filtered Basis Functions

Keval S. Ramani, Molong Duan, Chinedum E. Okwudire, A. Galip Ulsoy
Journal: Journal of Dynamic Systems, Measurement, and Control
Publisher: ASME
Article Type: Research-Article
J. Dyn. Sys., Meas., Control. November 2019, 141(11): 111009.
Paper No: DS-18-1094
https://doi.org/10.1115/1.4044355
Published Online: September 18, 2019
View Article titled, Optimal Selection of Basis Functions for Minimum-Effort Tracking Control of Nonminimum Phase Systems Using Filtered Basis Functions
Open the PDF for Optimal Selection of Basis Functions for Minimum-Effort Tracking Control of Nonminimum Phase Systems Using Filtered Basis Functions in another window
Topics: B-splines, Control equipment, Dynamics (Mechanics), Errors, Tracking control, Trajectories (Physics), Engineering simulation, Simulation, Feedforward control, System dynamics
Proceedings Papers

Robust Filtered Basis Functions Approach for Feedforward Tracking Control

Keval S. Ramani, Chinedum E. Okwudire
Proc. ASME. DSCC2018, Volume 3: Modeling and Validation; Multi-Agent and Networked Systems; Path Planning and Motion Control; Tracking Control Systems; Unmanned Aerial Vehicles (UAVs) and Application; Unmanned Ground and Aerial Vehicles; Vibration in Mechanical Systems; Vibrations and Control of Systems; Vibrations: Modeling, Analysis, and Control, V003T35A003, September 30–October 3, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2018-9196
https://doi.org/10.1115/DSCC2018-9196
View Paper titled, Robust Filtered Basis Functions Approach for Feedforward Tracking Control
Open the PDF for Robust Filtered Basis Functions Approach for Feedforward Tracking Control in another window
Topics: Feedforward control, Tracking control, Errors, Uncertainty, Filters, Filtration, Simulation, Time-invariant systems, Trajectories (Physics)
Journal Articles

Boosting Speed and Accuracy in Precision Motion Control

Keval S. Ramani, Molong Duan, Deokkyun Yoon, Chinedum E. Okwudire, A. Galip Ulsoy
Journal: Mechanical Engineering
Publisher: ASME
Article Type: Select Article
Mechanical Engineering. September 2018, 140(09): S17–S23.
Paper No: ME-2018-SEP7
https://doi.org/10.1115/1.2018-SEP7
Published Online: September 1, 2018
View Article titled, Boosting Speed and Accuracy in Precision Motion Control
Open the PDF for Boosting Speed and Accuracy in Precision Motion Control in another window
Topics: Dynamics (Mechanics), Errors, Feedback, Feedforward control, Manufacturing, Mechanical engineering, Semiconductor wafers, Sensors, Sustainability, Tracking control
Proceedings Papers

Regularized Filtered Basis Functions Approach for Accurate Tracking of Discrete-Time Linear Time Invariant Systems With Bounded Random Uncertainties

Keval S. Ramani, Chinedum E. Okwudire
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, V002T28A004, October 12–14, 2016
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2016-9885
https://doi.org/10.1115/DSCC2016-9885
View Paper titled, Regularized Filtered Basis Functions Approach for Accurate Tracking of Discrete-Time Linear Time Invariant Systems With Bounded Random Uncertainties
Open the PDF for Regularized Filtered Basis Functions Approach for Accurate Tracking of Discrete-Time Linear Time Invariant Systems With Bounded Random Uncertainties in another window
Topics: Time-invariant systems, Uncertainty, Errors, Tracking control, Trajectories (Physics), Uncertain systems
Journal Articles

Tracking Control of Linear Time-Invariant Nonminimum Phase Systems Using Filtered Basis Functions

Keval S. Ramani, Molong Duan, Chinedum E. Okwudire, A. Galip Ulsoy
Journal: Journal of Dynamic Systems, Measurement, and Control
Publisher: ASME
Article Type: Research-Article
J. Dyn. Sys., Meas., Control. January 2017, 139(1): 011001.
Paper No: DS-15-1479
https://doi.org/10.1115/1.4034367
Published Online: September 8, 2016
View Article titled, Tracking Control of Linear Time-Invariant Nonminimum Phase Systems Using Filtered Basis Functions
Open the PDF for Tracking Control of Linear Time-Invariant Nonminimum Phase Systems Using Filtered Basis Functions in another window
Topics: Errors, Stability, Tracking control, Trajectories (Physics), Filters, Dynamics (Mechanics)
Proceedings Papers

Tracking Control of Non-Minimum Phase Systems Using Filtered Basis Functions: A NURBS-Based Approach

Molong Duan, Keval S. Ramani, Chinedum E. Okwudire
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, V001T03A006, October 28–30, 2015
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2015-9859
https://doi.org/10.1115/DSCC2015-9859
View Paper titled, Tracking Control of Non-Minimum Phase Systems Using Filtered Basis Functions: A NURBS-Based Approach
Open the PDF for Tracking Control of Non-Minimum Phase Systems Using Filtered Basis Functions: A NURBS-Based Approach in another window
Topics: Tracking control, Errors, B-splines, Control equipment, Dynamics (Mechanics), Trajectories (Physics)