D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 40 Citations 5,918 197 World Ranking 1874 National Ranking 209

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Artificial intelligence
  • Algorithm

His primary scientific interests are in Control theory, Nonlinear system, Multi-agent system, Adaptive control and Nonlinear control. His Control theory study frequently draws connections to adjacent fields such as Bounded function. The various areas that Lu Liu examines in his Nonlinear system study include Stability and Residual.

His study on Consensus is often connected to Event as part of broader study in Multi-agent system. Lu Liu interconnects Robust control and Output feedback in the investigation of issues within Adaptive control. His Nonlinear control research includes elements of Lyapunov stability and Triangular matrix.

His most cited work include:

  • Consensus of Linear Multi-Agent Systems by Distributed Event-Triggered Strategy (322 citations)
  • Adaptive output-feedback control design with prescribed performance for switched nonlinear systems (315 citations)
  • Self-Triggered Consensus for Multi-Agent Systems With Zeno-Free Triggers (152 citations)

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

Lu Liu spends much of his time researching Control theory, Multi-agent system, Nonlinear system, Control theory and Bounded function. His research integrates issues of Artificial neural network and Control in his study of Control theory. His work on Consensus as part of general Multi-agent system research is frequently linked to Scheme, bridging the gap between disciplines.

His Nonlinear system research incorporates elements of Mathematical optimization, Robustness, Triangular matrix and Internal model. The study incorporates disciplines such as Telecommunications network and Fuzzy logic in addition to Control theory. His Bounded function research incorporates themes from Function and Constant.

He most often published in these fields:

  • Control theory (83.67%)
  • Multi-agent system (32.27%)
  • Nonlinear system (31.08%)

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

  • Control theory (83.67%)
  • Multi-agent system (32.27%)
  • Bounded function (19.92%)

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

His primary areas of study are Control theory, Multi-agent system, Bounded function, Nonlinear system and Control theory. His research on Control theory frequently connects to adjacent areas such as Control. His biological study spans a wide range of topics, including Event triggered, Eigenvalues and eigenvectors, Laplacian matrix and State.

His Bounded function research is multidisciplinary, incorporating elements of Underactuation and Constant. His Nonlinear system study which covers Control system that intersects with Vehicle dynamics. His research investigates the connection with Control theory and areas like Artificial neural network which intersect with concerns in Differentiator.

Between 2019 and 2021, his most popular works were:

  • Fuzzy Adaptive Finite-Time Fault-Tolerant Control for Strict-Feedback Nonlinear Systems (85 citations)
  • Cooperative Path Following Ring-Networked Under-Actuated Autonomous Surface Vehicles: Algorithms and Experimental Results (24 citations)
  • Distributed Event-Triggered Adaptive Control for Consensus of Linear Multi-Agent Systems with External Disturbances (19 citations)

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

  • Control theory
  • Artificial intelligence
  • Algorithm

Lu Liu mainly focuses on Control theory, Nonlinear system, Multi-agent system, Bounded function and Control theory. Many of his studies on Control theory involve topics that are commonly interrelated, such as Convergence. In general Nonlinear system, his work in Tracking error is often linked to Stochastic process linking many areas of study.

A large part of his Multi-agent system studies is devoted to Consensus. His study looks at the relationship between Bounded function and topics such as Control system, which overlap with Canonical form, Network topology and Vehicle dynamics. His Adaptive control research focuses on subjects like Synchronization, which are linked to Feed forward, Control, Underactuation and Artificial neural network.

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

Consensus of Linear Multi-Agent Systems by Distributed Event-Triggered Strategy

Wenfeng Hu;Lu Liu;Gang Feng.
IEEE Transactions on Systems, Man, and Cybernetics (2016)

345 Citations

Adaptive output-feedback control design with prescribed performance for switched nonlinear systems

Yongming Li;Yongming Li;Shaocheng Tong;Lu Liu;Gang Feng.
Automatica (2017)

302 Citations

Self-Triggered Consensus for Multi-Agent Systems With Zeno-Free Triggers

Yuan Fan;Lu Liu;Gang Feng;Yong Wang.
IEEE Transactions on Automatic Control (2015)

204 Citations

Output Consensus of Heterogeneous Linear Multi-Agent Systems by Distributed Event-Triggered/Self-Triggered Strategy

Wenfeng Hu;Lu Liu;Gang Feng.
IEEE Transactions on Systems, Man, and Cybernetics (2017)

185 Citations

Leader-follower consensus of time-varying nonlinear multi-agent systems

Xianfu Zhang;Lu Liu;Gang Feng.
Automatica (2015)

143 Citations

Brief paper: Parameter convergence and minimal internal model with an adaptive output regulation problem

Lu Liu;Zhiyong Chen;Jie Huang.
Automatica (2009)

142 Citations

Fuzzy Adaptive Finite-Time Fault-Tolerant Control for Strict-Feedback Nonlinear Systems

Kangkang Sun;Lu Liu;Jianbin Qiu;Gang Feng.
IEEE Transactions on Fuzzy Systems (2021)

128 Citations

Stability and $l_1$ Gain Analysis of Boolean Networks With Markovian Jump Parameters

Min Meng;Lu Liu;Gang Feng.
IEEE Transactions on Automatic Control (2017)

123 Citations

Consensus of Heterogeneous Linear Multiagent Systems Subject to Aperiodic Sampled-Data and DoS Attack

Dan Zhang;Lu Liu;Gang Feng.
IEEE Transactions on Systems, Man, and Cybernetics (2019)

122 Citations

ESO-Based Line-of-Sight Guidance Law for Path Following of Underactuated Marine Surface Vehicles With Exact Sideslip Compensation

Lu Liu;Dan Wang;Zhouhua Peng.
IEEE Journal of Oceanic Engineering (2017)

116 Citations

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