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Proceedings Papers

Topology Optimization of Structural Systems Considering Both Compliance and Input Observability

Yi Ren, Houpu Yao, Xinfan Lin
Proc. ASME. DSCC2017, Volume 2: Mechatronics; Estimation and Identification; Uncertain Systems and Robustness; Path Planning and Motion Control; Tracking Control Systems; Multi-Agent and Networked Systems; Manufacturing; Intelligent Transportation and Vehicles; Sensors and Actuators; Diagnostics and Detection; Unmanned, Ground and Surface Robotics; Motion and Vibration Control Applications, V002T04A004, October 11–13, 2017
Paper No: DSCC2017-5236
DOI: https://doi.org/10.1115/DSCC2017-5236
View Paper titled, Topology Optimization of Structural Systems Considering Both Compliance and Input Observability
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Topics: Optimization, Topology, Design, Sensors, Stress, Tradeoffs, Actuators, Additive manufacturing, Errors, Filters
Proceedings Papers

An Ionic-Polymer-Metal-Composite Electrical Model With a Linear Time-Variant Method

Yi-chu Chang, Won-jong Kim
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, V003T42A002, October 21–23, 2013
Paper No: DSCC2013-3803
DOI: https://doi.org/10.1115/DSCC2013-3803
View Paper titled, An Ionic-Polymer-Metal-Composite Electrical Model With a Linear Time-Variant Method
Click here to open pdf in another window PDF for An Ionic-Polymer-Metal-Composite Electrical Model With a Linear Time-Variant Method
Topics: Composite materials, Metals, Polymers, Deflection, Cantilever beams, Conducting polymers, Electrical conductivity, Errors, Metallic composites, Modeling
Proceedings Papers

A Hybrid Particle Filter for Dynamic Thermal Characterization of Metallic Micro- and Nanowires Using the 3ω Method

Josef Cepak, Denis Myasishchev, Jordan M. Berg, Mark Holtz
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, 633-640, October 17–19, 2012
Paper No: DSCC2012-MOVIC2012-8650
DOI: https://doi.org/10.1115/DSCC2012-MOVIC2012-8650
View Paper titled, A Hybrid Particle Filter for Dynamic Thermal Characterization of Metallic Micro- and Nanowires Using the 3ω Method
Click here to open pdf in another window PDF for A Hybrid Particle Filter for Dynamic Thermal Characterization of Metallic Micro- and Nanowires Using the 3ω Method
Topics: Filters, Nanowires, Particulate matter, Thermal characterization, Transients (Dynamics), Wire, Approximation, Currents, Errors, Finite element model