What is he best known for?
The fields of study he is best known for:
- Control theory
- Mathematical analysis
- Nonlinear system
His primary areas of investigation include Control theory, Lyapunov function, Stability, Exponential stability and Mathematical analysis.
His Control theory research integrates issues from Numerical stability and Synchronization.
His Lyapunov function study combines topics in areas such as Lyapunov exponent, Delay differential equation and Stability theory.
The study incorporates disciplines such as Matrix and Differential systems in addition to Stability.
His research in Exponential stability intersects with topics in Linear matrix inequality, Type, Class and Applied mathematics.
His study in the fields of Variation of parameters under the domain of Nonlinear system overlaps with other disciplines such as Time ratio.
His most cited work include:
- Nonlinear Integral Equations in Abstract Spaces (331 citations)
- Robust impulsive synchronization of uncertain dynamical networks (251 citations)
- Stability of a class of linear switching systems with time delay (238 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Control theory, Lyapunov function, Stability, Exponential stability and Nonlinear system.
His Control theory study combines topics from a wide range of disciplines, such as State and Synchronization.
His Lyapunov function research is multidisciplinary, incorporating elements of Stability theory, Lyapunov exponent and Mathematical analysis, Differential equation.
The Stability study combines topics in areas such as Control system, Linear system and Mathematical optimization.
His work carried out in the field of Exponential stability brings together such families of science as Numerical stability and Applied mathematics.
His studies deal with areas such as Observer and Hybrid system as well as Nonlinear system.
He most often published in these fields:
- Control theory (63.18%)
- Lyapunov function (29.45%)
- Stability (27.08%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (63.18%)
- Applied mathematics (14.73%)
- Stability (27.08%)
In recent papers he was focusing on the following fields of study:
His main research concerns Control theory, Applied mathematics, Stability, Nonlinear system and Exponential stability.
Many of his studies on Control theory apply to Synchronization as well.
Xinzhi Liu has researched Applied mathematics in several fields, including Lyapunov functional, Symmetric matrix, Uniqueness and Differential equation.
Stability is frequently linked to Lyapunov function in his study.
Xinzhi Liu interconnects Linear matrix inequality and MATLAB in the investigation of issues within Lyapunov function.
His research integrates issues of Class and Distributed parameter system in his study of Exponential stability.
Between 2018 and 2021, his most popular works were:
- Enhancing fuel cell durability for fuel cell plug-in hybrid electric vehicles through strategic power management (46 citations)
- Delay-Dependent Impulsive Distributed Synchronization of Stochastic Complex Dynamical Networks With Time-Varying Delays (29 citations)
- Exponential stability of impulsive complex-valued neural networks with time delay (17 citations)
In his most recent research, the most cited papers focused on:
- Mathematical analysis
- Control theory
- Quantum mechanics
His scientific interests lie mostly in Control theory, Synchronization, Bifurcation, Fuzzy control system and Delay dependent.
His Control theory study frequently links to other fields, such as Upper and lower bounds.
In his study, Impulse is inextricably linked to Nonlinear system, which falls within the broad field of Upper and lower bounds.
His study in Bifurcation is interdisciplinary in nature, drawing from both Attractor, Mathematical analysis, Euclidean space, Delay differential equation and Invariant.
The various areas that Xinzhi Liu examines in his Delay dependent study include Synchronization networks, Protocol and Constant.
In his study, Lyapunov function is strongly linked to Differential, which falls under the umbrella field of Lyapunov stability.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
