His primary areas of study are Control theory, Control engineering, Nonlinear system, Control theory and Actuator. His research related to Adaptive control, Exponential stability, Backstepping, Robustness and Lyapunov function might be considered part of Control theory. His studies deal with areas such as Piezoelectricity, Ultrasonic motor, Piezoelectric motor and Range as well as Control engineering.
The concepts of his Nonlinear system study are interwoven with issues in Artificial neural network and Filter. His biological study spans a wide range of topics, including Control system and Human–robot interaction. His Actuator research is multidisciplinary, incorporating elements of Motion controller, Torsion spring, Gait and Robot, Rehabilitation robotics.
His primary areas of investigation include Control theory, Robot, Artificial intelligence, Simulation and Actuator. His work is connected to Nonlinear system, Adaptive control, Exponential stability, Control theory and Robustness, as a part of Control theory. Haoyong Yu works mostly in the field of Robot, limiting it down to topics relating to Control engineering and, in certain cases, Motion control, as a part of the same area of interest.
His Artificial intelligence study integrates concerns from other disciplines, such as Pattern recognition, Computer vision and Electroencephalography. As part of the same scientific family, Haoyong Yu usually focuses on Simulation, concentrating on Gait and intersecting with Rehabilitation, Rehabilitation robotics, Ankle, Hidden Markov model and STRIDE. In his research on the topic of Actuator, Torque is strongly related with Exoskeleton.
Haoyong Yu spends much of his time researching Control theory, Control theory, Robot, Nonlinear system and Exoskeleton. His Control theory course of study focuses on Artificial neural network and Control system. In his research, Fuzzy logic is intimately related to Rope, which falls under the overarching field of Control theory.
His study in the fields of Workspace under the domain of Robot overlaps with other disciplines such as Set. His Adaptive control study, which is part of a larger body of work in Nonlinear system, is frequently linked to Estimator and Rate of convergence, bridging the gap between disciplines. His Exoskeleton research incorporates themes from Gait, Bibliometrics and Systems engineering.
His main research concerns Control theory, Exponential stability, Robot, Actuator and Least squares. His Control theory research includes elements of Artificial neural network and Coupling. His research investigates the connection between Exponential stability and topics such as Robot control that intersect with issues in Composite number and Interval.
The study incorporates disciplines such as Exoskeleton, Position and Bistability in addition to Robot. Haoyong Yu combines subjects such as Clamping, Finite element method, Sliding mode control, Control theory and Voltage with his study of Actuator. In his study, Identification, Adaptive control and Nonlinear system is inextricably linked to Applied mathematics, which falls within the broad field of Least squares.
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PAMM - a robotic aid to the elderly for mobility assistance and monitoring: a "helping-hand" for the elderly
S. Dubowsky;F. Genot;S. Godding;H. Kozono.
international conference on robotics and automation (2000)
An Adaptive Shared Control System for an Intelligent Mobility Aid for the Elderly
Haoyong Yu;Matthew Spenko;Steven Dubowsky.
Autonomous Robots (2003)
Human–Robot Interaction Control of Rehabilitation Robots With Series Elastic Actuators
Haoyong Yu;Sunan Huang;Gong Chen;Yongping Pan.
IEEE Transactions on Robotics (2015)
A review of lower extremity assistive robotic exoskeletons in rehabilitation therapy.
Gong Chen;Chow Khuen Chan;Zhao Guo;Haoyong Yu.
Critical Reviews in Biomedical Engineering (2013)
Robotic Personal Aids for Mobility and Monitoring for the Elderly
M. Spenko;Haoyong Yu;S. Dubowsky.
international conference of the ieee engineering in medicine and biology society (2006)
Composite Learning From Adaptive Dynamic Surface Control
Yongping Pan;Haoyong Yu.
IEEE Transactions on Automatic Control (2016)
Integral Sliding Mode Control: Performance, Modification, and Improvement
Yongping Pan;Chenguang Yang;Lin Pan;Haoyong Yu.
IEEE Transactions on Industrial Informatics (2018)
Omni-Directional Mobility Using Active Split Offset Castors
Haoyong Yu;Matthew Spenko;Steven Dubowsky.
Journal of Mechanical Design (2000)
Adaptive Human–Robot Interaction Control for Robots Driven by Series Elastic Actuators
Xiang Li;Yongping Pan;Gong Chen;Haoyong Yu.
IEEE Transactions on Robotics (2017)
Hybrid feedback feedforward
Yongping Pan;Yiqi Liu;Bin Xu;Haoyong Yu.
Neural Networks (2016)
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