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.
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