What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Computer network
Control theory, Exponential stability, Control theory, Chaotic and Stability are his primary areas of study.
He combines subjects such as Synchronization of chaos and Bounding overwatch with his study of Control theory.
His Exponential stability research is multidisciplinary, incorporating elements of Artificial neural network, Differentiable function and Bounded function.
His Control theory research incorporates themes from Tracking and Numerical analysis.
His work carried out in the field of Chaotic brings together such families of science as CHAOS, Period-doubling bifurcation, Pixel, Grayscale and Shuffling.
The various areas that Zhi-Hong Guan examines in his Stability study include Mathematical economics, Statistical physics and Scale-free network.
His most cited work include:
- Chaos-based image encryption algorithm ✩ (515 citations)
- On hybrid impulsive and switching systems and application to nonlinear control (328 citations)
- Synchronization of Complex Dynamical Networks With Time-Varying Delays Via Impulsive Distributed Control (310 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Control theory, Control theory, Control system, Multi-agent system and Exponential stability.
His Control theory study incorporates themes from Control and Stability.
His research integrates issues of Energy, Linear system, Bandwidth and Network packet in his study of Control system.
His Multi-agent system research focuses on Network topology and how it relates to Robustness.
His biological study spans a wide range of topics, including Artificial neural network, Stability, Applied mathematics and Stability theory.
His Nonlinear system research includes elements of Synchronization of chaos and Chaotic.
He most often published in these fields:
- Control theory (72.70%)
- Control theory (16.95%)
- Control system (16.09%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (72.70%)
- Artificial neural network (8.62%)
- Multi-agent system (14.94%)
In recent papers he was focusing on the following fields of study:
Control theory, Artificial neural network, Multi-agent system, Control and Topology are his primary areas of study.
As part of his studies on Control theory, he often connects relevant areas like State.
The Artificial neural network study combines topics in areas such as Rate of convergence, Dynamical systems theory and Exponential stability.
In general Multi-agent system study, his work on Consensus often relates to the realm of Containment and Control, thereby connecting several areas of interest.
His Control research is multidisciplinary, incorporating elements of Computer security, Distributed computing, Computer simulation and Intelligent Network.
His Topology study combines topics from a wide range of disciplines, such as Network topology, Hopf bifurcation, Bifurcation and Stability.
Between 2018 and 2021, his most popular works were:
- Distributed Control of Nonlinear Multiagent Systems With Unknown and Nonidentical Control Directions via Event-Triggered Communication (50 citations)
- Multistability of Delayed Hybrid Impulsive Neural Networks With Application to Associative Memories (24 citations)
- Delayed Impulsive Control for Consensus of Multiagent Systems With Switching Communication Graphs (21 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Statistics
The scientist’s investigation covers issues in Control theory, Control, Multi-agent system, State and Control theory.
His biological study deals with issues like Artificial neural network, which deal with fields such as Rate of convergence.
His Control study combines topics in areas such as Network topology and Communication channel.
His research investigates the connection with State and areas like Computer simulation which intersect with concerns in Disturbance observer, Lyapunov stability and Algebraic graph theory.
His Control theory research includes themes of Function and Markov process.
His Exponential stability study integrates concerns from other disciplines, such as Blocking, Adaptive control and Robot manipulator.
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