What is he best known for?
The fields of study he is best known for:
- Control theory
- Control engineering
- Control theory
His primary areas of investigation include Control theory, Control theory, Control engineering, Vehicle dynamics and Observer.
His work in the fields of Control theory, such as Nonlinear system, Underactuation, Control system and State observer, overlaps with other areas such as Recurrent neural network.
In the subject of general Nonlinear system, his work in Strict-feedback form is often linked to Noise measurement, Oscillation and Neural adaptation, thereby combining diverse domains of study.
His Control system study combines topics from a wide range of disciplines, such as Mathematical optimization and Backstepping.
Zhouhua Peng mostly deals with Adaptive control in his studies of Control theory.
Zhouhua Peng has included themes like Exponential stability and Lyapunov function in his Adaptive control study.
His most cited work include:
- Adaptive Dynamic Surface Control for Formations of Autonomous Surface Vehicles With Uncertain Dynamics (305 citations)
- Distributed neural network control for adaptive synchronization of uncertain dynamical multiagent systems. (167 citations)
- Distributed Maneuvering of Autonomous Surface Vehicles Based on Neurodynamic Optimization and Fuzzy Approximation (142 citations)
What are the main themes of his work throughout his whole career to date?
Zhouhua Peng mainly focuses on Control theory, Control theory, Nonlinear system, Control engineering and Lyapunov function.
His study in Adaptive control, Stability, State observer, Underactuation and Vehicle dynamics falls within the category of Control theory.
In general Control theory study, his work on Fuzzy control system often relates to the realm of Differentiator, Modular design and MIMO, thereby connecting several areas of interest.
Zhouhua Peng combines subjects such as Observer and Control system with his study of Nonlinear system.
His Control engineering study frequently links to adjacent areas such as Adaptive system.
His Lyapunov function research is multidisciplinary, incorporating perspectives in Dynamic positioning, Trajectory and Mobile robot.
He most often published in these fields:
- Control theory (101.70%)
- Control theory (35.80%)
- Nonlinear system (34.09%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (101.70%)
- Control system (10.80%)
- Control theory (35.80%)
In recent papers he was focusing on the following fields of study:
His main research concerns Control theory, Control system, Control theory, State observer and Underactuation.
In general Control theory, his work in Actuator, Nonlinear system and Lyapunov function is often linked to Modular design linking many areas of study.
As a member of one scientific family, he mostly works in the field of Nonlinear system, focusing on Vehicle dynamics and, on occasion, Systems engineering and Internal model.
His work deals with themes such as Propeller and Electronic speed control, which intersect with Control theory.
His study in State observer is interdisciplinary in nature, drawing from both Doubly fed electric machine, Sliding mode control, Voltage control, Induction generator and Direct current.
The Underactuation study combines topics in areas such as Adaptive control and Fuzzy control system.
Between 2019 and 2021, his most popular works were:
- Output-Feedback Cooperative Formation Maneuvering of Autonomous Surface Vehicles With Connectivity Preservation and Collision Avoidance (33 citations)
- Cooperative Path Following Ring-Networked Under-Actuated Autonomous Surface Vehicles: Algorithms and Experimental Results (24 citations)
- An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles (20 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Control engineering
- Control theory
Zhouhua Peng focuses on Control theory, State observer, Control theory, Underactuation and Vehicle dynamics.
Zhouhua Peng connects Control theory with Topology in his research.
His State observer research focuses on Lyapunov function and how it relates to Trajectory and Dynamic positioning.
His work on Adaptive control and Fuzzy control system as part of general Control theory study is frequently linked to A priori and a posteriori and Surface, bridging the gap between disciplines.
He performs multidisciplinary study in Vehicle dynamics and Collision avoidance in his work.
His Backstepping research incorporates elements of Equilibrium point and Internal model.
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