What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Electrical engineering
His primary scientific interests are in Control theory, Sliding mode control, Control system, Control theory and Multi-agent system.
His study looks at the intersection of Control theory and topics like Terminal with Reachability.
The various areas that Xinghuo Yu examines in his Sliding mode control study include Lyapunov stability, Discrete time and continuous time, Robust control, Singularity and Discretization.
His work in Control system addresses subjects such as Adaptive control, which are connected to disciplines such as Robustness.
His Control theory research includes elements of Finite time, Equilibrium point, CHAOS and Autonomous system.
Many of his research projects under Multi-agent system are closely connected to Position with Position, tying the diverse disciplines of science together.
His most cited work include:
- Continuous finite-time control for robotic manipulators with terminal sliding modes (1332 citations)
- Brief Non-singular terminal sliding mode control of rigid manipulators (1278 citations)
- Sliding-Mode Control for Systems With Mismatched Uncertainties via a Disturbance Observer (757 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Control theory, Sliding mode control, Control theory, Nonlinear system and Control system.
As part of his studies on Control theory, Xinghuo Yu often connects relevant subjects like Control engineering.
His biological study spans a wide range of topics, including Convergence, Exponential stability, Robust control, State observer and Trajectory.
Control theory is closely attributed to Linear system in his study.
His Terminal sliding mode research integrates issues from Observer and Terminal.
He most often published in these fields:
- Control theory (51.96%)
- Sliding mode control (22.47%)
- Control theory (14.06%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (51.96%)
- Control theory (14.06%)
- Nonlinear system (11.41%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Control theory, Control theory, Nonlinear system, Multi-agent system and Topology.
His study brings together the fields of Network topology and Control theory.
His work deals with themes such as Tracking and Microgrid, which intersect with Control theory.
His work focuses on many connections between Multi-agent system and other disciplines, such as Mathematical optimization, that overlap with his field of interest in Resource allocation and Economic dispatch.
The concepts of his Topology study are interwoven with issues in Linear system, Convergence, Topology, Voltage and Complex network.
His primary area of study in Sliding mode control is in the field of Terminal sliding mode.
Between 2018 and 2021, his most popular works were:
- An Overall Distribution Particle Swarm Optimization MPPT Algorithm for Photovoltaic System Under Partial Shading (132 citations)
- Cluster-Oriented Distributed Cooperative Control for Multiple AC Microgrids (54 citations)
- Distributed Multi-DER Cooperative Control for Master-Slave-Organized Microgrid Networks With Limited Communication Bandwidth (52 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Electrical engineering
Xinghuo Yu mostly deals with Control theory, Control theory, Network topology, Nonlinear system and Multi-agent system.
His research brings together the fields of Bounded function and Control theory.
His research integrates issues of Induction motor, Quantization, Electronic speed control, Servomotor and Servomechanism in his study of Control theory.
His work carried out in the field of Network topology brings together such families of science as Dynamical systems theory, Linear system, Complex network, Topology and Topology.
His work is dedicated to discovering how Nonlinear system, Trajectory are connected with Robot end effector, Observer and Kinematics and other disciplines.
His research on Sliding mode control focuses in particular on Terminal sliding mode.
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