1-15 of 15
Time series
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

A Novel Approach to Time Series Forecasting Using Model-Free Adaptive Control Framework

Meenakshi Narayan, Ann Majewicz Fey
Proc. ASME. DSCC2020, Volume 1: Adaptive/Intelligent Sys. Control; Driver Assistance/Autonomous Tech.; Control Design Methods; Nonlinear Control; Robotics; Assistive/Rehabilitation Devices; Biomedical/Neural Systems; Building Energy Systems; Connected Vehicle Systems; Control/Estimation of Energy Systems; Control Apps.; Smart Buildings/Microgrids; Education; Human-Robot Systems; Soft Mechatronics/Robotic Components/Systems; Energy/Power Systems; Energy Storage; Estimation/Identification; Vehicle Efficiency/Emissions, V001T12A002, October 5–7, 2020
Paper No: DSCC2020-3329
DOI: https://doi.org/10.1115/DSCC2020-3329
View Paper
PDF
Topics: Adaptive control, Time series, Algorithms, Computation, Control systems, Errors, Force sensors, Machine learning, Needles, Optimal control
Proceedings Papers

End-Effector Stabilization of a Wearable Robotic Arm Using Time Series Modeling of Human Disturbances

Vighnesh Vatsal, Guy Hoffman
Proc. ASME. DSCC2019, Volume 1: Advanced Driver Assistance and Autonomous Technologies; Advances in Control Design Methods; Advances in Robotics; Automotive Systems; Design, Modeling, Analysis, and Control of Assistive and Rehabilitation Devices; Diagnostics and Detection; Dynamics and Control of Human-Robot Systems; Energy Optimization for Intelligent Vehicle Systems; Estimation and Identification; Manufacturing, V001T05A001, October 8–11, 2019
Paper No: DSCC2019-8985
DOI: https://doi.org/10.1115/DSCC2019-8985
View Paper
PDF
Topics: End effectors, Modeling, Robotics, Time series, Delays, Feedback, Actuators, Errors, Manufacturing, Robots
Proceedings Papers

Model-Based Sparse Information Recovery by a Collaborative Sensor Management

Hui Xiao, Yaakov Bar-Shalom, Xu Chen
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, V001T01A009, September 30–October 3, 2018
Paper No: DSCC2018-9088
DOI: https://doi.org/10.1115/DSCC2018-9088
View Paper
PDF
Topics: Sensors, Algorithms, Signals, Design, Dynamics (Mechanics), Optimization, Time series
Proceedings Papers

A Nonlinear Data-Driven Model of Glucose Dynamics Accounting for Physical Activity for Type 1 Diabetes: An In Silico Study

Jinyu Xie, Qian Wang
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, V001T09A002, October 12–14, 2016
Paper No: DSCC2016-9742
DOI: https://doi.org/10.1115/DSCC2016-9742
View Paper
PDF
Topics: Accounting, Diabetes, Dynamics (Mechanics), Glucose, Physiology, Blood glucose, Dynamic models, Modeling, Optimal control, Time series
Proceedings Papers

Stochastic Dynamic Modeling of the Human Brain EEG Signal

Parham Ghorbanian, Subramanian Ramakrishnan, Adam J. Simon, Hashem Ashrafiuon
Proc. ASME. DSCC2013, Volume 2: Control, Monitoring, and Energy Harvesting of Vibratory Systems; Cooperative and Networked Control; Delay Systems; Dynamical Modeling and Diagnostics in Biomedical Systems; Estimation and Id of Energy Systems; Fault Detection; Flow and Thermal Systems; Haptics and Hand Motion; Human Assistive Systems and Wearable Robots; Instrumentation and Characterization in Bio-Systems; Intelligent Transportation Systems; Linear Systems and Robust Control; Marine Vehicles; Nonholonomic Systems, V002T22A003, October 21–23, 2013
Paper No: DSCC2013-3881
DOI: https://doi.org/10.1115/DSCC2013-3881
View Paper
PDF
Topics: Brain, Dynamic modeling, Electroencephalography, Signals, Degrees of freedom, Electromagnetic spectrum, Wounds, Differential equations, Diseases, Dynamics (Mechanics)
Proceedings Papers

Identification of Instabilities in Rotorcraft Systems

Siddharth Sonti, Joseph Horn, Eric Keller, Asok Ray
Proc. ASME. DSCC2013, Volume 1: Aerial Vehicles; Aerospace Control; Alternative Energy; Automotive Control Systems; Battery Systems; Beams and Flexible Structures; Biologically-Inspired Control and its Applications; Bio-Medical and Bio-Mechanical Systems; Biomedical Robots and Rehab; Bipeds and Locomotion; Control Design Methods for Adv. Powertrain Systems and Components; Control of Adv. Combustion Engines, Building Energy Systems, Mechanical Systems; Control, Monitoring, and Energy Harvesting of Vibratory Systems, V001T01A001, October 21–23, 2013
Paper No: DSCC2013-3711
DOI: https://doi.org/10.1115/DSCC2013-3711
View Paper
PDF
Topics: Algorithms, Blades, Computer simulation, Damping, Dynamics (Mechanics), Rotors, Sensors, Signal to noise ratio, Stability, System dynamics
Proceedings Papers

Prediction of ICU In-Hospital Mortality Using Artificial Neural Networks

Henian Xia, Nathan Keeney, Brian J. Daley, Adam Petrie, Xiaopeng Zhao
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, V003T43A001, October 21–23, 2013
Paper No: DSCC2013-3768
DOI: https://doi.org/10.1115/DSCC2013-3768
View Paper
PDF
Topics: Algorithms, Artificial neural networks, Databases, Drugs, Feature selection, Machine learning, Machinery, Neural network models, Optimization, Physiology
Proceedings Papers

Stability Analysis of Nonlinear Systems via Estimating Radial-Basis-Function-Network-Based Lyapunov Exponents From a Scalar Time Series

Yuming Sun, Qiong Wu
Proc. ASME. DSCC2012-MOVIC2012, Volume 2: Legged Locomotion; Mechatronic Systems; Mechatronics; Mechatronics for Aquatic Environments; MEMS Control; Model Predictive Control; Modeling and Model-Based Control of Advanced IC Engines; Modeling and Simulation; Multi-Agent and Cooperative Systems; Musculoskeletal Dynamic Systems; Nano Systems; Nonlinear Systems; Nonlinear Systems and Control; Optimal Control; Pattern Recognition and Intelligent Systems; Power and Renewable Energy Systems; Powertrain Systems, 625-634, October 17–19, 2012
Paper No: DSCC2012-MOVIC2012-8508
DOI: https://doi.org/10.1115/DSCC2012-MOVIC2012-8508
View Paper
PDF
Topics: Nonlinear systems, Scalars, Stability, Time series, Attractors, Algorithms, Dynamics (Mechanics), Jacobian matrices, Noise (Sound), Nonlinear dynamical systems
Proceedings Papers

Pattern Matching of In-Vehicle Acceleration Time Series Data

Pramod K. Vemulapalli, Gregory S. Ledva, Sean N. Brennan, Karl M. Reichard
Proc. ASME. DSCC2012-MOVIC2012, Volume 2: Legged Locomotion; Mechatronic Systems; Mechatronics; Mechatronics for Aquatic Environments; MEMS Control; Model Predictive Control; Modeling and Model-Based Control of Advanced IC Engines; Modeling and Simulation; Multi-Agent and Cooperative Systems; Musculoskeletal Dynamic Systems; Nano Systems; Nonlinear Systems; Nonlinear Systems and Control; Optimal Control; Pattern Recognition and Intelligent Systems; Power and Renewable Energy Systems; Powertrain Systems, 761-770, October 17–19, 2012
Paper No: DSCC2012-MOVIC2012-8758
DOI: https://doi.org/10.1115/DSCC2012-MOVIC2012-8758
View Paper
PDF
Topics: Time series, Vehicles, Encryption, Noise (Sound), Signals
Proceedings Papers

ECG Quality Assessment Based on Image Processing Techniques

Henian Xia, Xiaopeng Zhao, Hairong Qi
Proc. ASME. DSCC2012-MOVIC2012, Volume 1: Adaptive Control; Advanced Vehicle Propulsion Systems; Aerospace Systems; Autonomous Systems; Battery Modeling; Biochemical Systems; Control Over Networks; Control Systems Design; Cooperative and Decentralized Control; Dynamic System Modeling; Dynamical Modeling and Diagnostics in Biomedical Systems; Dynamics and Control in Medicine and Biology; Estimation and Fault Detection; Estimation and Fault Detection for Vehicle Applications; Fluid Power Systems; Human Assistive Systems and Wearable Robots; Human-in-the-Loop Systems; Intelligent Transportation Systems; Learning Control, 553-560, October 17–19, 2012
Paper No: DSCC2012-MOVIC2012-8591
DOI: https://doi.org/10.1115/DSCC2012-MOVIC2012-8591
View Paper
PDF
Topics: Image processing, Signals, Cardiology, Noise (Sound), Physiology, Time series
Proceedings Papers

Development of Vibration Loading Profiles for Accelerated Durability Tests of Ground Vehicles

Ke Xu, Yan Wu, Qiong Wu
Proc. ASME. DSCC2011, ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, Volume 2, 717-724, October 31–November 2, 2011
Paper No: DSCC2011-6024
DOI: https://doi.org/10.1115/DSCC2011-6024
View Paper
PDF
Topics: Durability, Vehicles, Vibration, Time series, Signals, Stress, Testing, Computer software, Fourier analysis, Image segmentation
Proceedings Papers

Optimization of Time-Series Data Partitioning for Parameter Identification

Soumik Sarkar, Kushal Mukherjee, Xin Jin, Asok Ray
Proc. ASME. DSCC2010, ASME 2010 Dynamic Systems and Control Conference, Volume 1, 867-874, September 12–15, 2010
Paper No: DSCC2010-4058
DOI: https://doi.org/10.1115/DSCC2010-4058
View Paper
PDF
Topics: Optimization, Time series, Construction, Dynamics (Mechanics), Entropy, Machinery, Nonlinear dynamical systems, Nonlinear systems
Proceedings Papers

Wavelet-Based Feature Extraction for Behavior Recognition in Mobile Robots

Xin Jin, Kushal Mukherjee, Shalabh Gupta, Asok Ray
Proc. ASME. DSCC2010, ASME 2010 Dynamic Systems and Control Conference, Volume 1, 875-882, September 12–15, 2010
Paper No: DSCC2010-4059
DOI: https://doi.org/10.1115/DSCC2010-4059
View Paper
PDF
Topics: Feature extraction, Mobile robots, Wavelets, Sensors, Time series, Algorithms, Dynamic systems, Filtration, Pressure, Robotics
Proceedings Papers

A Nonlinear Time Series Analysis Method for Health Monitoring of Rolling Bearings

Yongbin Liu, Ruqiang Yan, Robert X. Gao
Proc. ASME. DSCC2010, ASME 2010 Dynamic Systems and Control Conference, Volume 2, 277-283, September 12–15, 2010
Paper No: DSCC2010-4118
DOI: https://doi.org/10.1115/DSCC2010-4118
View Paper
PDF
Topics: Rolling bearings, Time series, Entropy, Machinery, Signals, Damage, Mechanical drives, Structural health monitoring, Vibration
Proceedings Papers

Validation of Dynamic Models by Image Distances in the Time-Scale Domain

Kourosh Danai, James R. McCusker, Todd Currier, David O. Kazmer
Proc. ASME. DSCC2009, ASME 2009 Dynamic Systems and Control Conference, Volume 1, 17-24, October 12–14, 2009
Paper No: DSCC2009-2565
DOI: https://doi.org/10.1115/DSCC2009-2565
View Paper
PDF
Topics: Dynamic models, Time series, Errors, Model validation