# Gang Feng

Electronics and Electrical Engineering
China
2022

## D-Index & Metrics

Discipline name D-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 90 Citations 27,050 474 World Ranking 84 National Ranking 6

## Research.com Recognitions

### Awards & Achievements

2022 - Research.com Electronics and Electrical Engineering in China Leader Award

## What is he best known for?

### The fields of study he is best known for:

• Control theory
• Computer network
• Artificial intelligence

His primary areas of study are Control theory, Fuzzy control system, Control theory, Nonlinear system and Fuzzy logic. His study in Lyapunov function, Control system, Robust control, Backstepping and Exponential stability is done as part of Control theory. His studies deal with areas such as Piecewise, Fuzzy number, Mathematical optimization, Adaptive control and Robustness as well as Fuzzy control system.

His work deals with themes such as Robot and Multi-agent system, Consensus, which intersect with Control theory. Gang Feng combines subjects such as Control, Event triggered and Distributed computing with his study of Multi-agent system. His studies in Nonlinear system integrate themes in fields like Bounded function and Residual.

### His most cited work include:

• A Survey on Analysis and Design of Model-Based Fuzzy Control Systems (1334 citations)
• Technical communique: Distributed event-triggered control of multi-agent systems with combinational measurements (511 citations)
• Event-based consensus of multi-agent systems with general linear models (412 citations)

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

His primary scientific interests are in Control theory, Fuzzy control system, Control theory, Nonlinear system and Fuzzy logic. His study in Adaptive control, Control system, Discrete time and continuous time, Robust control and Lyapunov function is carried out as part of his studies in Control theory. Gang Feng has included themes like Fuzzy number, Sliding mode control, Mathematical optimization and Piecewise in his Fuzzy control system study.

He interconnects Artificial neural network and Convergence in the investigation of issues within Mathematical optimization. His Control theory research is multidisciplinary, relying on both Stability and Multi-agent system. His research investigates the link between Multi-agent system and topics such as Distributed computing that cross with problems in Consensus.

### He most often published in these fields:

• Control theory (79.81%)
• Fuzzy control system (22.42%)
• Control theory (21.46%)

## What were the highlights of his more recent work (between 2016-2021)?

• Control theory (79.81%)
• Multi-agent system (14.47%)
• Control theory (21.46%)

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

Gang Feng mainly investigates Control theory, Multi-agent system, Control theory, Bounded function and Consensus. The concepts of his Control theory study are interwoven with issues in Control and Fuzzy logic. Gang Feng studies Fuzzy logic, namely Fuzzy control system.

His Multi-agent system study incorporates themes from Event triggered, Distributed computing, State, Laplacian matrix and Network topology. The study incorporates disciplines such as Control system, Discrete time and continuous time, Frequency domain and Nonholonomic system in addition to Control theory. His Consensus research focuses on subjects like Integrator, which are linked to Mathematical optimization.

### Between 2016 and 2021, his most popular works were:

• Adaptive output-feedback control design with prescribed performance for switched nonlinear systems (315 citations)
• Output Consensus of Heterogeneous Linear Multi-Agent Systems by Distributed Event-Triggered/Self-Triggered Strategy (143 citations)
• Consensus of Heterogeneous Linear Multiagent Systems Subject to Aperiodic Sampled-Data and DoS Attack (89 citations)

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

• Control theory
• Computer network
• Artificial intelligence

Control theory, Multi-agent system, Consensus, Adaptive control and Control theory are his primary areas of study. His work in Control theory covers topics such as Bounded function which are related to areas like Directed graph. His Multi-agent system study combines topics from a wide range of disciplines, such as Network topology, Control, Decentralised system and Synchronization.

His research integrates issues of Distributed computing and Output feedback in his study of Consensus. His Adaptive control study combines topics in areas such as Mathematical optimization and Laplacian matrix. His Control system research is multidisciplinary, incorporating elements of Fuzzy control system and Fuzzy logic.

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.

## Best Publications

A Survey on Analysis and Design of Model-Based Fuzzy Control Systems

Gang Feng.
IEEE Transactions on Fuzzy Systems (2006)

2044 Citations

Technical communique: Distributed event-triggered control of multi-agent systems with combinational measurements

Yuan Fan;Gang Feng;Yong Wang;Cheng Song.
Automatica (2013)

717 Citations

DSC Approach to Robust Adaptive Fuzzy Tracking Control for Strict-Feedback Nonlinear Systems

Tie-Shan Li;Dan Wang;Gang Feng;Shao-Cheng Tong.
fuzzy systems and knowledge discovery (2008)

564 Citations

A New Design of Delay-Dependent Robust ${\cal H}_{m \infty}$ Filtering for Discrete-Time T--S Fuzzy Systems With Time-Varying Delay

Jianbin Qiu;Gang Feng;Jie Yang.
IEEE Transactions on Fuzzy Systems (2009)

488 Citations

Analysis and design for a class of complex control systems part II: fuzzy controller design

S. G. Cao;N. W. Rees;G. Feng.
Automatica (1997)

481 Citations

A combined backstepping and small-gain approach to robust adaptive fuzzy control for strict-feedback nonlinear systems

Yansheng Yang;Gang Feng;Junsheng Ren.
systems man and cybernetics (2004)

480 Citations

Brief paper: Distributed tracking control of leader-follower multi-agent systems under noisy measurement

Jiangping Hu;Gang Feng.
Automatica (2010)

462 Citations

Observer-Based Output Feedback Event-Triggered Control for Consensus of Multi-Agent Systems

Hao Zhang;Gang Feng;Huaicheng Yan;Qijun Chen.
IEEE Transactions on Industrial Electronics (2014)

440 Citations

Analysis and design for a class of complex control systems part I: fuzzy modelling and identification

S. G. Cao;N. W. Rees;G. Feng.
Automatica (1997)

432 Citations

Event-based consensus of multi-agent systems with general linear models

Wei Zhu;Wei Zhu;Zhong-Ping Jiang;Gang Feng.
Automatica (2014)

426 Citations

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