What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Mathematical analysis
Zongyu Zuo spends much of his time researching Control theory, Multi-agent system, Lyapunov function, Nonlinear system and Consensus.
His study looks at the relationship between Control theory and fields such as Control engineering, as well as how they intersect with chemical problems.
The concepts of his Multi-agent system study are interwoven with issues in Tracking, Exponential stability and Settling time.
His Lyapunov function study combines topics in areas such as Nonlinear control and Output feedback.
His research in the fields of Inverted pendulum and Terminal sliding mode overlaps with other disciplines such as Surface, Control and Terminal.
His research investigates the link between Consensus and topics such as Bounded function that cross with problems in Uniform consensus, Initial value problem and Mathematical optimization.
His most cited work include:
- Nonsingular fixed-time consensus tracking for second-order multi-agent networks (381 citations)
- Trajectory tracking control design with command-filtered compensation for a quadrotor (294 citations)
- Distributed robust finite-time nonlinear consensus protocols for multi-agent systems (254 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Control theory, Nonlinear system, Multi-agent system, Control theory and Lyapunov function.
His work deals with themes such as Control engineering and Bounded function, which intersect with Control theory.
His research investigates the connection between Control engineering and topics such as Tracking that intersect with issues in Directed graph.
Zongyu Zuo has included themes like Dead zone, Servomechanism, Lipschitz continuity and Singularity in his Nonlinear system study.
His work on Consensus as part of general Multi-agent system research is frequently linked to Laplacian matrix, bridging the gap between disciplines.
Zongyu Zuo has researched Lyapunov function in several fields, including Stability, Exponential stability, Multivariable calculus, Output feedback and Robustness.
He most often published in these fields:
- Control theory (84.43%)
- Nonlinear system (36.07%)
- Multi-agent system (29.51%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (84.43%)
- Multi-agent system (29.51%)
- Nonlinear system (36.07%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Control theory, Multi-agent system, Nonlinear system, Control theory and Lyapunov function.
Zongyu Zuo connects Control theory with Fixed time in his study.
His work is dedicated to discovering how Multi-agent system, Control are connected with Uniform boundedness and other disciplines.
Within one scientific family, he focuses on topics pertaining to Actuator under Nonlinear system, and may sometimes address concerns connected to Synchronization, Bounded function and Control system.
His studies deal with areas such as Plane, Torque and Trajectory as well as Control theory.
His study in Lyapunov function is interdisciplinary in nature, drawing from both Stability and Robustness.
Between 2019 and 2021, his most popular works were:
- Distributed Consensus Observer for Multiagent Systems With High-Order Integrator Dynamics (20 citations)
- Parametric adaptive control of single-rod electrohydraulic system with block-strict-feedback model (9 citations)
- Bipartite Consensus Tracking for Second-Order Multi-Agent Systems: A Time-Varying Function Based Preset-Time Approach (5 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Mathematical analysis
His scientific interests lie mostly in Multi-agent system, Control theory, Control, Control theory and Artificial intelligence.
His Multi-agent system research is multidisciplinary, relying on both Observer, Integrator, Exponential stability and Lyapunov function.
His Disturbance, Nonlinear system and Stability study in the realm of Control theory connects with subjects such as Parametric statistics.
In the subject of general Control, his work in Adaptive control is often linked to Constraint and Block, thereby combining diverse domains of study.
His research in Control theory intersects with topics in Function, Manifold and Topology.
He incorporates Artificial intelligence and Perspective in his studies.
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