H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 37 Citations 5,643 133 World Ranking 2175 National Ranking 45

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Control theory
  • Machine learning

His main research concerns Control theory, Mathematical optimization, Multi-agent system, Lyapunov function and Network topology. The concepts of his Control theory study are interwoven with issues in Control engineering and Algebraic graph theory. His Mathematical optimization research incorporates elements of Energy consumption, Convergence, Lyapunov stability and Convex optimization.

His work carried out in the field of Multi-agent system brings together such families of science as Identifier, Control, Tracking and Protocol. His Lyapunov function research is under the purview of Nonlinear system. He has researched Network topology in several fields, including Stability and Consensus.

His most cited work include:

  • Cloud robotics: architecture, challenges and applications (340 citations)
  • Robust consensus tracking of a class of second-order multi-agent dynamic systems (233 citations)
  • Time-varying formation control for general linear multi-agent systems with switching directed topologies (232 citations)

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

His primary scientific interests are in Control theory, Mathematical optimization, Multi-agent system, Lyapunov function and Nash equilibrium. All of his Control theory and Control theory, Nonlinear system, Adaptive control, Robust control and Robustness investigations are sub-components of the entire Control theory study. Guoqiang Hu focuses mostly in the field of Mathematical optimization, narrowing it down to matters related to Energy consumption and, in some cases, Smart grid.

His studies in Multi-agent system integrate themes in fields like Distributed computing, Tracking, Telecommunications network, Network topology and Bounded function. His research in Lyapunov function intersects with topics in Control engineering, Robot, Artificial intelligence, Computer vision and Servo control. His work on Best response and Epsilon-equilibrium as part of general Nash equilibrium study is frequently connected to Constant, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.

He most often published in these fields:

  • Control theory (42.19%)
  • Mathematical optimization (35.16%)
  • Multi-agent system (20.70%)

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

  • Mathematical optimization (35.16%)
  • Nash equilibrium (14.84%)
  • Optimization problem (12.89%)

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

Mathematical optimization, Nash equilibrium, Optimization problem, Multi-agent system and Convergence are his primary areas of study. His Mathematical optimization research includes themes of Function, Graph and Range. His Nash equilibrium research is multidisciplinary, incorporating elements of Penalty method, Strongly monotone and Protocol.

His research on Multi-agent system also deals with topics like

  • Resilience most often made with reference to Telecommunications network,
  • Bounded function that intertwine with fields like Control theory,
  • Distributed algorithm that intertwine with fields like Network topology,
  • Computer network that intertwine with fields like Robustness. His Convergence research integrates issues from Robot and Control theory. The Control theory study combines topics in areas such as Robot kinematics and Spanning tree.

Between 2019 and 2021, his most popular works were:

  • Secure Cooperative Event-Triggered Control of Linear Multiagent Systems Under DoS Attacks (45 citations)
  • Distributed Secure Cooperative Control Under Denial-of-Service Attacks From Multiple Adversaries (35 citations)
  • Finite-Time Distributed Convex Optimization for Continuous-Time Multiagent Systems With Disturbance Rejection (13 citations)

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

  • Artificial intelligence
  • Control theory
  • Electrical engineering

Guoqiang Hu spends much of his time researching Mathematical optimization, Optimization problem, Function, Multi-agent system and HVAC. His Mathematical optimization research is multidisciplinary, incorporating perspectives in Convergence and Linearization, Nonlinear system. His Convergence study combines topics in areas such as Resource allocation and Nash equilibrium.

Guoqiang Hu has included themes like Entropy and Real-time computing in his Optimization problem study. His Function research integrates issues from Linear programming, Rate of convergence, Time domain and Directed graph. His Multi-agent system research also works with subjects such as

  • Computer network which is related to area like Robustness,
  • Distributed algorithm that intertwine with fields like Network topology, Robot, Economic dispatch, Convex optimization and Convex function.

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

Cloud robotics: architecture, challenges and applications

Guoqiang Hu;Wee Peng Tay;Yonggang Wen.
IEEE Network (2012)

502 Citations

Robust consensus tracking of a class of second-order multi-agent dynamic systems

Guoqiang Hu.
conference on decision and control (2010)

354 Citations

Time-varying formation control for general linear multi-agent systems with switching directed topologies

Xiwang Dong;Guoqiang Hu.
Automatica (2016)

273 Citations

Lyapunov-Based Tracking Control in the Presence of Uncertain Nonlinear Parameterizable Friction

C. Makkar;G. Hu;W.G. Sawyer;W.E. Dixon.
IEEE Transactions on Automatic Control (2007)

255 Citations

Consensus tracking for higher-order multi-agent systems with switching directed topologies and occasionally missing control inputs

Guanghui Wen;Guoqiang Hu;Wenwu Yu;Jinde Cao;Jinde Cao.
Systems & Control Letters (2013)

242 Citations

Time-Varying Formation Tracking for Linear Multiagent Systems With Multiple Leaders

Xiwang Dong;Guoqiang Hu.
IEEE Transactions on Automatic Control (2017)

242 Citations

A new continuously differentiable friction model for control systems design

C. Makkar;W.E. Dixon;W.G. Sawyer;G. Hu.
international conference on advanced intelligent mechatronics (2005)

227 Citations

Pinning Synchronization of Directed Networks With Switching Topologies: A Multiple Lyapunov Functions Approach

Guanghui Wen;Wenwu Yu;Guoqiang Hu;Jinde Cao.
IEEE Transactions on Neural Networks (2015)

207 Citations

The adaptive distributed observer approach to the cooperative output regulation of linear multi-agent systems

He Cai;Frank L. Lewis;Guoqiang Hu;Jie Huang.
Automatica (2017)

166 Citations

Distributed Energy Consumption Control via Real-Time Pricing Feedback in Smart Grid

Kai Ma;Guoqiang Hu;Costas J. Spanos.
IEEE Transactions on Control Systems and Technology (2014)

164 Citations

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Best Scientists Citing Guoqiang Hu

Guanghui Wen

Guanghui Wen

Southeast University

Publications: 64

Warren E. Dixon

Warren E. Dixon

University of Florida

Publications: 61

Jinde Cao

Jinde Cao

Southeast University

Publications: 45

Yongchun Fang

Yongchun Fang

Nankai University

Publications: 39

Wenwu Yu

Wenwu Yu

Southeast University

Publications: 37

Ning Sun

Ning Sun

Nankai University

Publications: 32

Xinghuo Yu

Xinghuo Yu

RMIT University

Publications: 32

Zongli Lin

Zongli Lin

University of Virginia

Publications: 28

Zhisheng Duan

Zhisheng Duan

Peking University

Publications: 27

Tingwen Huang

Tingwen Huang

Texas A&M University at Qatar

Publications: 27

Zidong Wang

Zidong Wang

Brunel University London

Publications: 27

Zhouhua Peng

Zhouhua Peng

Dalian Maritime University

Publications: 27

Dan Wang

Dan Wang

Dalian Maritime University

Publications: 26

Guanrong Chen

Guanrong Chen

City University of Hong Kong

Publications: 23

Xinping Guan

Xinping Guan

Shanghai Jiao Tong University

Publications: 23

Yun-Hui Liu

Yun-Hui Liu

Chinese University of Hong Kong

Publications: 21

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