What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Mathematical analysis
His primary areas of investigation include Control theory, Exponential stability, Linear system, Dwell time and State.
While working in this field, he studies both Control theory and Attenuation.
His Exponential stability study combines topics from a wide range of disciplines, such as Discrete time and continuous time, Lyapunov function, Quadratic lyapunov function and Constant.
The concepts of his Linear system study are interwoven with issues in Commutative property, Quadratic equation, Quadratic growth and Finite set.
The State study combines topics in areas such as Control, Probabilistic logic, Extension, Singular systems and Product.
The Nonlinear system study which covers Exponential growth that intersects with Stability margin.
His most cited work include:
- Disturbance Attenuation Properties of Time-Controlled Switched Systems (459 citations)
- Stability analysis of switched systems with stable and unstable subsystems: An average dwell time approach (447 citations)
- Quadratic stabilizability of switched linear systems with polytopic uncertainties (229 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, Exponential stability, Mathematical optimization and Linear system.
His multidisciplinary approach integrates Control theory and Attenuation in his work.
His work in Control theory addresses issues such as Block matrix, which are connected to fields such as Coefficient matrix.
His Exponential stability study integrates concerns from other disciplines, such as Lie algebra, Quadratic lyapunov function and Constant.
He interconnects Matrix, Multi-agent system and Decentralised system in the investigation of issues within Mathematical optimization.
His Linear system research is multidisciplinary, relying on both Quadratic equation, Quadratic growth and Finite set.
He most often published in these fields:
- Control theory (73.00%)
- Control theory (17.33%)
- Exponential stability (15.67%)
What were the highlights of his more recent work (between 2014-2021)?
- Control theory (73.00%)
- Applied mathematics (8.00%)
- Quadratic equation (6.33%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Control theory, Applied mathematics, Quadratic equation, Convex combination and Nonlinear system.
His research in the fields of Control theory, Lyapunov function and Linear system overlaps with other disciplines such as Dwell time and Data control.
His Control theory study combines topics in areas such as Mechanical system, State-transition matrix, Lyapunov equation, Lyapunov redesign and Exponential stability.
As part of one scientific family, Guisheng Zhai deals mainly with the area of Applied mathematics, narrowing it down to issues related to the Linear matrix inequality, and often Drazin inverse, Linear programming, Stability and Lyapunov stability.
Guisheng Zhai has researched Quadratic equation in several fields, including Quadratic growth, Finite set and Affine transformation.
His Nonlinear system study combines topics from a wide range of disciplines, such as Chaotic, Robotics and Exponential function.
Between 2014 and 2021, his most popular works were:
- Quadratic stabilization of switched uncertain linear systems: a convex combination approach (45 citations)
- Stabilization of probabilistic Boolean networks via pinning control strategy (43 citations)
- Stability Analysis for LTI Control Systems With Controller Failures and Its Application in Failure Tolerant Control (25 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Mathematical analysis
Guisheng Zhai mainly investigates Control theory, State, Extension, Artificial neural network and Exponential stability.
Control theory and Dwell time are two areas of study in which Guisheng Zhai engages in interdisciplinary work.
His State study which covers Probabilistic logic that intersects with Control.
Guisheng Zhai works mostly in the field of Extension, limiting it down to topics relating to Mathematical optimization and, in certain cases, Control system and Order, as a part of the same area of interest.
The various areas that he examines in his Artificial neural network study include Linear matrix inequality, MATLAB, Lemma and Applied mathematics.
His Exponential stability research includes elements of Lyapunov equation, Control-Lyapunov function, Adaptive control and Control engineering.
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