H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 70 Citations 14,653 249 World Ranking 282 National Ranking 27

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Artificial intelligence
  • Mathematical analysis

The scientist’s investigation covers issues in Control theory, Control theory, Linear matrix inequality, Artificial neural network and Exponential stability. In the subject of general Control theory, his work in Discrete time and continuous time is often linked to Symmetric matrix, thereby combining diverse domains of study. His Control theory study combines topics from a wide range of disciplines, such as Control, Upper and lower bounds, Applied mathematics and Nonlinear system.

Zheng-Guang Wu usually deals with Applied mathematics and limits it to topics linked to Singular perturbation and Fuzzy logic. His work on Lyapunov stability as part of general Nonlinear system research is frequently linked to Basis, thereby connecting diverse disciplines of science. Zheng-Guang Wu frequently studies issues relating to Delay dependent and Linear matrix inequality.

His most cited work include:

  • Stochastic Synchronization of Markovian Jump Neural Networks With Time-Varying Delay Using Sampled Data (472 citations)
  • Asynchronous l 2 - l ∞ filtering for discrete-time stochastic Markov jump systems with randomly occurred sensor nonlinearities (446 citations)
  • Passivity Analysis for Discrete-Time Stochastic Markovian Jump Neural Networks With Mixed Time Delays (331 citations)

What are the main themes of his work throughout his whole career to date?

Zheng-Guang Wu focuses on Control theory, Control theory, Linear matrix inequality, Nonlinear system and Artificial neural network. As part of his studies on Control theory, Zheng-Guang Wu often connects relevant subjects like Filter. His study looks at the relationship between Control theory and fields such as Asynchronous communication, as well as how they intersect with chemical problems.

As a part of the same scientific study, Zheng-Guang Wu usually deals with the Linear matrix inequality, concentrating on Singular systems and frequently concerns with Full state feedback. Zheng-Guang Wu combines subjects such as Bounded function and Fuzzy logic with his study of Nonlinear system. Zheng-Guang Wu works mostly in the field of Artificial neural network, limiting it down to topics relating to Time delays and, in certain cases, Markov jump, as a part of the same area of interest.

He most often published in these fields:

  • Control theory (90.88%)
  • Control theory (34.74%)
  • Linear matrix inequality (21.40%)

What were the highlights of his more recent work (between 2019-2021)?

  • Control theory (90.88%)
  • Control theory (34.74%)
  • Asynchronous communication (12.28%)

In recent papers he was focusing on the following fields of study:

His primary areas of study are Control theory, Control theory, Asynchronous communication, Fuzzy logic and Nonlinear system. Control theory is a component of his Lyapunov function, Actuator, Observer, Fuzzy control system and Exponential stability studies. His Control theory research is multidisciplinary, incorporating perspectives in Multi-agent system, State and Reliability.

His Asynchronous communication research is multidisciplinary, relying on both State, Topology, Markov jump and Hidden Markov model. His Fuzzy logic research includes elements of Control system, Integral sliding mode and Filter design. His studies in Nonlinear system integrate themes in fields like Quantization, Adaptive system and Robustness.

Between 2019 and 2021, his most popular works were:

  • Reliable Event-Triggered Asynchronous Extended Passive Control for Semi-Markov Jump Fuzzy Systems and Its Application (55 citations)
  • Input-Based Event-Triggering Consensus of Multiagent Systems Under Denial-of-Service Attacks (40 citations)
  • Static Output Feedback Control of Switched Nonlinear Systems With Actuator Faults (39 citations)

In his most recent research, the most cited papers focused on:

  • Control theory
  • Artificial intelligence
  • Mathematical analysis

Zheng-Guang Wu mainly investigates Control theory, Control theory, Fuzzy control system, Fuzzy logic and Asynchronous communication. His Control theory study integrates concerns from other disciplines, such as Fault tolerance and Control. His study in Control theory is interdisciplinary in nature, drawing from both Observer, Control system and Multi-agent system.

His work focuses on many connections between Fuzzy control system and other disciplines, such as Reliability, that overlap with his field of interest in Iterative method. As part of one scientific family, Zheng-Guang Wu deals mainly with the area of Fuzzy logic, narrowing it down to issues related to the Integral sliding mode, and often Adaptive control, Dynamic positioning and Tracking error. His Asynchronous communication study combines topics in areas such as State, Topology, Observability and Controllability.

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.

Top Publications

Stochastic Synchronization of Markovian Jump Neural Networks With Time-Varying Delay Using Sampled Data

Zheng-Guang Wu;Peng Shi;Hongye Su;Jian Chu.
IEEE Transactions on Systems, Man, and Cybernetics (2013)

481 Citations

Asynchronous l 2 - l ∞ filtering for discrete-time stochastic Markov jump systems with randomly occurred sensor nonlinearities

Zheng-Guang Wu;Peng Shi;Hongye Su;Jian Chu.
Automatica (2014)

472 Citations

Passivity Analysis for Discrete-Time Stochastic Markovian Jump Neural Networks With Mixed Time Delays

Zheng-Guang Wu;Peng Shi;Hongye Su;Jian Chu.
IEEE Transactions on Neural Networks (2011)

347 Citations

Exponential Synchronization of Neural Networks With Discrete and Distributed Delays Under Time-Varying Sampling

Zheng-Guang Wu;Peng Shi;Hongye Su;Jian Chu.
IEEE Transactions on Neural Networks (2012)

251 Citations

Reliable mixed passive and ℋ∞ filtering for semi‐Markov jump systems with randomly occurring uncertainties and sensor failures

Hao Shen;Hao Shen;Zheng-Guang Wu;Ju H. Park.
International Journal of Robust and Nonlinear Control (2015)

239 Citations

Stability and Dissipativity Analysis of Static Neural Networks With Time Delay

Zheng-Guang Wu;J. Lam;Hongye Su;Jian Chu.
IEEE Transactions on Neural Networks (2012)

239 Citations

Passivity-Based Asynchronous Control for Markov Jump Systems

Zheng-Guang Wu;Peng Shi;Zhan Shu;Hongye Su.
IEEE Transactions on Automatic Control (2017)

237 Citations

Sampled-Data Fuzzy Control of Chaotic Systems Based on a T–S Fuzzy Model

Zheng-Guang Wu;Peng Shi;Hongye Su;Jian Chu.
IEEE Transactions on Fuzzy Systems (2014)

213 Citations

Robust extended dissipative control for sampled-data Markov jump systems

Hao Shen;Ju H. Park;Lixian Zhang;Zheng-Guang Wu.
International Journal of Control (2014)

199 Citations

Sampled-Data Exponential Synchronization of Complex Dynamical Networks With Time-Varying Coupling Delay

Zheng-Guang Wu;Peng Shi;Hongye Su;Jian Chu.
IEEE Transactions on Neural Networks (2013)

198 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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