What is he best known for?
The fields of study he is best known for:
- Control theory
- Mathematical analysis
- Electrical engineering
Xian-Ming Zhang spends much of his time researching Control theory, Exponential stability, Linear matrix inequality, Interval and Linear system.
His research in the fields of Nonlinear control, Sliding mode control and Variable structure control overlaps with other disciplines such as Natural frequency and Damping ratio.
His Exponential stability research is multidisciplinary, relying on both Stability and Filter.
While the research belongs to areas of Stability, Xian-Ming Zhang spends his time largely on the problem of Distributed computing, intersecting his research to questions surrounding Control and Control system.
In his research on the topic of Interval, Class and Lyapunov function is strongly related with Artificial neural network.
His work focuses on many connections between Linear system and other disciplines, such as Stability criterion, that overlap with his field of interest in Full state feedback, State, Time complexity and Upper and lower bounds.
His most cited work include:
- Delay-dependent stabilization of linear systems with time-varying state and input delays (466 citations)
- Survey on Recent Advances in Networked Control Systems (394 citations)
- An Overview of Recent Advances in Event-Triggered Consensus of Multiagent Systems (334 citations)
What are the main themes of his work throughout his whole career to date?
Xian-Ming Zhang focuses on Control theory, Linear system, Interval, Stability and Stability criterion.
In most of his Control theory studies, his work intersects topics such as Network packet.
His Linear system research focuses on Delay dependent and how it relates to Lyapunov functional.
His Interval study combines topics in areas such as Time complexity, Exponential stability, Linear map and Applied mathematics.
Xian-Ming Zhang has researched Stability in several fields, including Type, Mathematical optimization and Bounding overwatch.
Xian-Ming Zhang has included themes like Time derivative, Circle criterion, Special case, Full state feedback and Function in his Stability criterion study.
He most often published in these fields:
- Control theory (69.92%)
- Linear system (26.02%)
- Interval (26.83%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (69.92%)
- Control theory (17.89%)
- Nonlinear system (16.26%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Control theory, Control theory, Nonlinear system, Artificial neural network and Applied mathematics.
His Control theory research incorporates themes from Control and Network packet.
His Nonlinear system research is multidisciplinary, incorporating perspectives in Filtering problem, Steel jacket and Filter.
His work deals with themes such as Linear system, Polynomial and Inequality, which intersect with Applied mathematics.
Xian-Ming Zhang usually deals with Polynomial and limits it to topics linked to Time complexity and Interval.
As a member of one scientific family, Xian-Ming Zhang mostly works in the field of Stability, focusing on Stability criterion and, on occasion, Full state feedback and Oscillation.
Between 2018 and 2021, his most popular works were:
- Networked control systems: a survey of trends and techniques (121 citations)
- Distributed Secondary Control for Active Power Sharing and Frequency Regulation in Islanded Microgrids Using an Event-Triggered Communication Mechanism (92 citations)
- Overview of recent advances in stability of linear systems with time‐varying delays (91 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Mathematical analysis
- Electrical engineering
The scientist’s investigation covers issues in Distributed computing, Stability, Control theory, State and Smart grid.
He interconnects Tracking system, Control and Reliability in the investigation of issues within Distributed computing.
His Stability study incorporates themes from Observer, Repetitive control, Bandwidth, Nonlinear system and Transient.
In the field of Control theory, his study on Linear system overlaps with subjects such as Process control.
His research in State intersects with topics in Quadratic form, Machine learning, Estimation and Artificial intelligence.
The Smart grid study combines topics in areas such as Dynamical systems theory and Vehicle dynamics.
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.
