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.
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.
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.
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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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)
Adaptive output-feedback control design with prescribed performance for switched nonlinear systems
Yongming Li;Yongming Li;Shaocheng Tong;Lu Liu;Gang Feng.
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)
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)
Leader-follower consensus of time-varying nonlinear multi-agent systems
Xianfu Zhang;Lu Liu;Gang Feng.
Brief paper: Parameter convergence and minimal internal model with an adaptive output regulation problem
Lu Liu;Zhiyong Chen;Jie Huang.
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)
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)
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)
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)
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