His main research concerns Control theory, Control system, Control engineering, Model predictive control and Networked control system. His study in Control theory concentrates on Linear matrix inequality, Stability, Nonlinear system, Lyapunov function and Linear system. His Linear matrix inequality research includes elements of Lyapunov functional and Delay dependent.
His studies in Control system integrate themes in fields like Genetic algorithm and Interval. The concepts of his Model predictive control study are interwoven with issues in Quantization and Computer engineering. His Networked control system research incorporates themes from Stability criterion, Compensation, Automatic control, Real-time computing and Transmission delay.
Guo-Ping Liu mostly deals with Control theory, Control system, Model predictive control, Control engineering and Networked control system. His study in Network packet extends to Control theory with its themes. His research investigates the link between Control system and topics such as Stability criterion that cross with problems in Linear matrix inequality.
His Model predictive control research integrates issues from Multi-agent system, Network delay and Constant. His research investigates the connection between Multi-agent system and topics such as Protocol that intersect with issues in Consensus and Topology. His studies deal with areas such as Matrix and Eigenvalues and eigenvectors as well as Linear system.
His primary areas of investigation include Control theory, Control system, Model predictive control, Multi-agent system and Network packet. His Control research extends to the thematically linked field of Control theory. His Control system research is multidisciplinary, incorporating elements of Kalman filter, Time delays, Real-time computing and Embedded system.
Guo-Ping Liu has included themes like Tracking error, State and Mobile robot in his Model predictive control study. Guo-Ping Liu has researched Multi-agent system in several fields, including Distributed computing, Network topology, Protocol and Topology. His study in Network packet is interdisciplinary in nature, drawing from both State-space representation, Process, Linear system and Networked control system.
Guo-Ping Liu mainly focuses on Control theory, Multi-agent system, Model predictive control, Networked control system and Network packet. Control theory connects with themes related to Constant in his study. The study incorporates disciplines such as Stability, Distributed computing, Protocol and Topology in addition to Multi-agent system.
His work in Model predictive control addresses subjects such as Network topology, which are connected to disciplines such as Matrix, Algorithm and Upper and lower bounds. Control system and Control engineering are inextricably linked to his Networked control system research. His Network packet research includes themes of Finite time, Time delays and Control.
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.
Technical Communique: Delay-dependent criteria for robust stability of time-varying delay systems
Min Wu;Yong He;Jin-Hua She;Guo-Ping Liu.
Parameter-dependent Lyapunov functional for stability of time-delay systems with polytopic-type uncertainties
Yong He;Min Wu;Jin-Hua She;Guo-Ping Liu.
IEEE Transactions on Automatic Control (2004)
Delay-dependent robust stability criteria for uncertain neutral systems with mixed delays
Yong He;Min Wu;Jin-Hua She;Guo-Ping Liu;Guo-Ping Liu.
Systems & Control Letters (2004)
Technical communique: Improved delay-range-dependent stability criteria for linear systems with time-varying delays
Jian Sun;G. P. Liu;Jie Chen;D. Rees.
On designing of sliding-mode control for stochastic jump systems
Peng Shi;Yuanqing Xia;G.P. Liu;D. Rees.
IEEE Transactions on Automatic Control (2006)
Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine
Chenghai Xue;Chenghai Xue;Fei Li;Tao He;Guo-Ping Liu;Guo-Ping Liu.
BMC Bioinformatics (2005)
Networked Predictive Control of Systems With Random Network Delays in Both Forward and Feedback Channels
Guo-Ping Liu;Yuanqing Xia;Jie Chen;D. Rees.
IEEE Transactions on Industrial Electronics (2007)
New Delay-Dependent Stability Criteria for Neural Networks With Time-Varying Delay
Yong He;Guoping Liu;D. Rees.
IEEE Transactions on Neural Networks (2007)
Technical communique: Network-based feedback control for systems with mixed delays based on quantization and dropout compensation
Rongni Yang;Peng Shi;Guo-Ping Liu;Huijun Gao.
Stability Analysis for Neural Networks With Time-Varying Interval Delay
Yong He;G.P. Liu;D. Rees;Min Wu.
IEEE Transactions on Neural Networks (2007)
Profile was last updated on December 6th, 2021.
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