What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Statistics
His main research concerns Control theory, Chaotic, Lyapunov exponent, Attractor and Nonlinear system.
His Control theory research integrates issues from Control engineering and Convergence.
The study incorporates disciplines such as Limit cycle, Synchronization of chaos and Bifurcation diagram, Bifurcation in addition to Chaotic.
In his work, Saddle-node bifurcation is strongly intertwined with Period-doubling bifurcation, which is a subfield of Bifurcation diagram.
His Lyapunov exponent study incorporates themes from Mathematical analysis and Applied mathematics.
His Nonlinear system research is multidisciplinary, relying on both Order and Motion control.
His most cited work include:
- A new image encryption algorithm based on hyper-chaos (501 citations)
- Analysis of a new chaotic system (221 citations)
- Image encryption based on a new total shuffling algorithm (209 citations)
What are the main themes of his work throughout his whole career to date?
Zengqiang Chen mostly deals with Control theory, Nonlinear system, Multi-agent system, Active disturbance rejection control and Control theory.
The various areas that Zengqiang Chen examines in his Control theory study include Control engineering, Control and Chaotic.
His studies in Chaotic integrate themes in fields like Phase portrait, Bifurcation diagram, Bifurcation and Attractor.
Zengqiang Chen interconnects Artificial neural network and Model predictive control in the investigation of issues within Nonlinear system.
The Multi-agent system study combines topics in areas such as Mathematical optimization, Network topology, Protocol and Topology.
His Active disturbance rejection control study integrates concerns from other disciplines, such as PID controller, Trajectory and Attitude control.
He most often published in these fields:
- Control theory (56.62%)
- Nonlinear system (18.75%)
- Multi-agent system (18.93%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (56.62%)
- Multi-agent system (18.93%)
- Nonlinear system (18.75%)
In recent papers he was focusing on the following fields of study:
Control theory, Multi-agent system, Nonlinear system, Active disturbance rejection control and Control theory are his primary areas of study.
His Control theory study is mostly concerned with State observer, Actuator, Disturbance, Robustness and PID controller.
His study on Multi-agent system also encompasses disciplines like
- Leader following most often made with reference to Control,
- Discrete time and continuous time and related Topology.
His Nonlinear system research incorporates themes from Observer and Convergence.
His Active disturbance rejection control study integrates concerns from other disciplines, such as Control system, Aerodynamics, Electric power system, Automatic frequency control and Decoupling.
Zengqiang Chen combines subjects such as Stochastic matrix, Finite-state machine, Trajectory and Feed forward with his study of Control theory.
Between 2019 and 2021, his most popular works were:
- Epidemic Propagation With Positive and Negative Preventive Information in Multiplex Networks (27 citations)
- Containment Control for General Second-Order Multiagent Systems With Switched Dynamics (17 citations)
- Reachability Analysis of Networked Finite State Machine With Communication Losses: A Switched Perspective (13 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Statistics
Zengqiang Chen focuses on Control theory, Active disturbance rejection control, Nonlinear system, Control theory and Tensor product.
Control theory and Tracking are commonly linked in his work.
Zengqiang Chen has researched Nonlinear system in several fields, including Automatic frequency control, Optimal design and Heuristic.
His work in Control theory addresses issues such as Stochastic matrix, which are connected to fields such as Nondeterministic finite automaton, Bilinear interpolation and Equilibrium point.
His studies in Tensor product integrate themes in fields like Finite-state machine, Matrix, Controllability and Product.
Zengqiang Chen works mostly in the field of Applied mathematics, limiting it down to topics relating to Bifurcation and, in certain cases, Chaotic.
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