What is he best known for?
The fields of study he is best known for:
- Control theory
- Quantum mechanics
- Artificial intelligence
The scientist’s investigation covers issues in Control theory, Nonlinear system, Adaptive control, Control engineering and Nonlinear control.
His Control theory study frequently draws connections to adjacent fields such as Multi-agent system.
His Multi-agent system research incorporates themes from Convergence and Lipschitz continuity.
His Nonlinear system study integrates concerns from other disciplines, such as Control, State and Mathematical optimization.
His study in Adaptive control is interdisciplinary in nature, drawing from both Tracking error and Disturbance.
Zhengtao Ding works mostly in the field of Control engineering, limiting it down to topics relating to Trajectory and, in certain cases, Spanning tree, Disturbance observer and Artificial neural network.
His most cited work include:
- Fixed-Time Consensus Tracking for Multiagent Systems With High-Order Integrator Dynamics (196 citations)
- Global stabilization and disturbance suppression of a class of nonlinear systems with uncertain internal model (159 citations)
- Consensus Output Regulation of a Class of Heterogeneous Nonlinear Systems (149 citations)
What are the main themes of his work throughout his whole career to date?
Zhengtao Ding focuses on Control theory, Nonlinear system, Adaptive control, Nonlinear control and Multi-agent system.
Within one scientific family, he focuses on topics pertaining to Control engineering under Control theory, and may sometimes address concerns connected to Control system.
His Nonlinear system study incorporates themes from State variable, Linear system and Internal model.
While the research belongs to areas of Adaptive control, he spends his time largely on the problem of Bounded function, intersecting his research to questions surrounding Robustness.
His studies deal with areas such as Sliding mode control and Feedback linearization as well as Nonlinear control.
The concepts of his Multi-agent system study are interwoven with issues in Mathematical optimization, Control, Laplacian matrix and Directed graph.
He most often published in these fields:
- Control theory (75.68%)
- Nonlinear system (47.95%)
- Adaptive control (19.18%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (75.68%)
- Multi-agent system (17.12%)
- Nonlinear system (47.95%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Control theory, Multi-agent system, Nonlinear system, Control and Lyapunov function.
In his research on the topic of Control theory, Undirected graph is strongly related with Consensus control.
Zhengtao Ding combines subjects such as Integrator and Mathematical optimization with his study of Multi-agent system.
His research in Nonlinear system focuses on subjects like Artificial neural network, which are connected to Graph and Optimal control.
Zhengtao Ding has included themes like Automation, Distributed computing and Reinforcement learning in his Control study.
His studies in Lyapunov function integrate themes in fields like Telecommunications network, Linear system and Stability.
Between 2018 and 2021, his most popular works were:
- Decentralized Adaptive Event-Triggered $H_\infty$ Filtering for a Class of Networked Nonlinear Interconnected Systems (65 citations)
- Predictor-Based Extended-State-Observer Design for Consensus of MASs With Delays and Disturbances (55 citations)
- Adaptive Optimal Control for a Class of Nonlinear Systems: The Online Policy Iteration Approach (50 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Quantum mechanics
- Artificial intelligence
Zhengtao Ding spends much of his time researching Control theory, Multi-agent system, Nonlinear system, Lyapunov function and Artificial neural network.
His Control theory research integrates issues from Control and Tracking.
His study in the field of Consensus is also linked to topics like Computer simulation.
His work deals with themes such as Control system, Q-learning, Bellman equation, Discrete time and continuous time and Term, which intersect with Nonlinear system.
His Lyapunov function research includes themes of Entropy, Assignment problem and Minimum entropy.
As part of one scientific family, Zhengtao Ding deals mainly with the area of Artificial neural network, narrowing it down to issues related to the Optimal control, and often Reinforcement learning and Linearization.
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