Changyin Sun

What is he best known for?

The fields of study he is best known for:

• Artificial intelligence
• Control theory
• Machine learning

His primary areas of investigation include Control theory, Artificial neural network, Nonlinear system, Artificial intelligence and Control theory. His research integrates issues of Control and Dynamic programming in his study of Control theory. He combines subjects such as Mathematical optimization, Lyapunov function, Adaptive system and Robot manipulator with his study of Artificial neural network.

Changyin Sun has included themes like Convergence, Multi-agent system, Bounded function, Actuator and Dead zone in his Nonlinear system study. His biological study spans a wide range of topics, including Machine learning and Pattern recognition. Attitude control, Feed forward and Vehicle dynamics is closely connected to Robustness in his research, which is encompassed under the umbrella topic of Control theory.

His most cited work include:

• Adaptive Neural Impedance Control of a Robotic Manipulator With Input Saturation (502 citations)
• Neural Network Control of a Robotic Manipulator With Input Deadzone and Output Constraint (213 citations)
• Adaptive Neural Network Control of a Marine Vessel With Constraints Using the Asymmetric Barrier Lyapunov Function (174 citations)

What are the main themes of his work throughout his whole career to date?

Changyin Sun spends much of his time researching Control theory, Artificial intelligence, Artificial neural network, Nonlinear system and Pattern recognition. His Control theory study incorporates themes from Control and Multi-agent system. His Artificial intelligence research integrates issues from Machine learning and Computer vision.

The study incorporates disciplines such as Mathematical optimization, Optimal control, Stability, Exponential stability and Robot in addition to Artificial neural network. The concepts of his Nonlinear system study are interwoven with issues in Function, Network topology, Convergence and Robustness. His Pattern recognition study integrates concerns from other disciplines, such as Face and Feature.

He most often published in these fields:

• Control theory (51.35%)
• Artificial intelligence (26.13%)
• Artificial neural network (20.72%)

What were the highlights of his more recent work (between 2019-2021)?

• Control theory (51.35%)
• Nonlinear system (20.27%)
• Control (11.49%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Control theory, Nonlinear system, Control, Control theory and Artificial neural network. Changyin Sun interconnects Multi-agent system and Event triggered in the investigation of issues within Control theory. His Nonlinear system research incorporates elements of Network topology and Convergence.

Changyin Sun works mostly in the field of Control, limiting it down to concerns involving State and, occasionally, Observer. Changyin Sun works mostly in the field of Control theory, limiting it down to topics relating to Actuator and, in certain cases, Sliding mode control. In his research, Constraint is intimately related to Robot, which falls under the overarching field of Artificial neural network.

Between 2019 and 2021, his most popular works were:

• Fixed-Time Leader–Follower Consensus of Networked Nonlinear Systems via Event/Self-Triggered Control (29 citations)
• Adaptive Consensus of Multiagent Systems With Unknown High-Frequency Gain Signs Under Directed Graphs (26 citations)
• Deterministic Policy Gradient With Integral Compensator for Robust Quadrotor Control (20 citations)

In his most recent research, the most cited papers focused on:

• Artificial intelligence
• Control theory
• Machine learning

Changyin Sun focuses on Control theory, Control, Reinforcement learning, Multi-agent system and Nonlinear system. His Control theory research includes themes of Artificial neural network and Tracking. His work carried out in the field of Artificial neural network brings together such families of science as Stability, Uniform boundedness and Optimal control.

His Control research is multidisciplinary, relying on both Frequency regulation, Stability, Condition monitoring and Transmission system. His research in the fields of Consensus overlaps with other disciplines such as Fixed time. His Nonlinear system course of study focuses on Network topology and Strongly connected component, Spanning tree, Convergence, Upper and lower bounds and Lemma.