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Proceedings Papers

Physics Based Multi-Fidelity Data Fusion for Efficient Characterization of Mode Shape Variation Under Uncertainties

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, V002T39A002, October 5–7, 2020

Paper No: DSCC2020-3199

DOI: https://doi.org/10.1115/DSCC2020-3199

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Topics: Data fusion, Mode shapes, Physics, Uncertainty

Proceedings Papers

Crane Guidance Gesture Tracking and Recognition With Nonlinear Estimation and Fuzzy Logic

Xin Wang, Chris Gordon, Edwin E. Yaz

Proc. ASME. DSCC2018, Volume 2: Control and Optimization of Connected and Automated Ground Vehicles; Dynamic Systems and Control Education; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Energy Systems; Estimation and Identification; Intelligent Transportation and Vehicles; Manufacturing; Mechatronics; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Control of IC Engines and Powertrain Systems; Modeling and Management of Power Systems, V002T21A001, September 30–October 3, 2018

Paper No: DSCC2018-8932

DOI: https://doi.org/10.1115/DSCC2018-8932

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Topics: Cranes, Fuzzy logic, Nonlinear estimation, Sensors, Filtration, Kalman filters, Data fusion, Electromyography, Equations of motion, Hardware

Proceedings Papers

Extended Kalman Filter Based Quadrotor State Estimation Based on Asynchronous Multisensor Data

Mohammad Sarim, Alireza Nemati, Manish Kumar, Kelly Cohen

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, V001T06A008, October 28–30, 2015

Paper No: DSCC2015-9929

DOI: https://doi.org/10.1115/DSCC2015-9929

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Topics: Kalman filters, State estimation, Sensors, Unmanned aerial vehicles, Flight, Data fusion, Delays, Dynamic models, Filters, Filtration

Proceedings Papers

Building Energy Consumption On-Line Forecasting Using System Identification and Data Fusion

Xiwang Li, Jin Wen

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, V001T07A002, October 22–24, 2014

Paper No: DSCC2014-6134

DOI: https://doi.org/10.1115/DSCC2014-6134

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Topics: Data fusion, Energy consumption, Physics, Optimization, Algorithms, Computation, Eigenvalues, Excitation, Integrated systems, Kalman filters

Proceedings Papers

Formation Control of Platoons of Mobile Sensors With Intermittent Communications

Davide Spinello, Daniel J. Stilwell

Proc. ASME. DSCC2011, ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, Volume 1, 25-32, October 31–November 2, 2011

Paper No: DSCC2011-6101

DOI: https://doi.org/10.1115/DSCC2011-6101

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Topics: Algorithms, Data fusion, Motion control, Sensors

Proceedings Papers

Cooperative Kalman Filtering With Data Fusion in Time Varying Communication Networks

Davide Spinello, Daniel J. Stilwell

Proc. ASME. DSCC2010, ASME 2010 Dynamic Systems and Control Conference, Volume 1, 947-954, September 12–15, 2010

Paper No: DSCC2010-4192

DOI: https://doi.org/10.1115/DSCC2010-4192

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Topics: Data fusion, Filtration, Errors, Sensor networks, Sensors, Topology

NARROW

Physics Based Multi-Fidelity Data Fusion for Efficient Characterization of Mode Shape Variation Under Uncertainties

Crane Guidance Gesture Tracking and Recognition With Nonlinear Estimation and Fuzzy Logic

Extended Kalman Filter Based Quadrotor State Estimation Based on Asynchronous Multisensor Data

Building Energy Consumption On-Line Forecasting Using System Identification and Data Fusion

Formation Control of Platoons of Mobile Sensors With Intermittent Communications

Cooperative Kalman Filtering With Data Fusion in Time Varying Communication Networks

Journals

Conference Proceedings

eBooks

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Physics Based Multi-Fidelity Data Fusion for Efficient Characterization of Mode Shape Variation Under Uncertainties

Crane Guidance Gesture Tracking and Recognition With Nonlinear Estimation and Fuzzy Logic

Extended Kalman Filter Based Quadrotor State Estimation Based on Asynchronous Multisensor Data

Building Energy Consumption On-Line Forecasting Using System Identification and Data Fusion

Formation Control of Platoons of Mobile Sensors With Intermittent Communications

Cooperative Kalman Filtering With Data Fusion in Time Varying Communication Networks

Journals

Conference Proceedings

eBooks

Resources

Opportunities

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