What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Electrical engineering
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 most cited work include:
- PAMM - a robotic aid to the elderly for mobility assistance and monitoring: a "helping-hand" for the elderly (224 citations)
- An Adaptive Shared Control System for an Intelligent Mobility Aid for the Elderly (203 citations)
- Human–Robot Interaction Control of Rehabilitation Robots With Series Elastic Actuators (151 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Control theory (43.09%)
- Robot (22.76%)
- Artificial intelligence (19.11%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (43.09%)
- Control theory (11.79%)
- Robot (22.76%)
In recent papers he was focusing on the following fields of study:
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.
Between 2018 and 2021, his most popular works were:
- Efficient PID Tracking Control of Robotic Manipulators Driven by Compliant Actuators (43 citations)
- A Novel Stick–Slip Piezoelectric Actuator Based on a Triangular Compliant Driving Mechanism (41 citations)
- Composite Learning Robot Control With Friction Compensation: A Neural Network-Based Approach (30 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Electrical 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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