Min Wu mainly investigates Control theory, Artificial neural network, Linear matrix inequality, Stability and Upper and lower bounds. His biological study spans a wide range of topics, including Stability criterion, Stability and Derivative. His Artificial neural network research incorporates elements of Exponential growth, Feedback control, Exponential stability and Bounded function.
His studies in Linear matrix inequality integrate themes in fields like Discrete time and continuous time, Numerical analysis, Lemma and Linear matrix. His research integrates issues of Numerical stability and Mathematical optimization in his study of Stability. The Upper and lower bounds study combines topics in areas such as Lyapunov functional, Load regulation, Automatic frequency control and Applied mathematics.
His primary areas of study are Control theory, Artificial neural network, Control system, Control theory and Artificial intelligence. His research on Control theory frequently links to adjacent areas such as Control engineering. His Artificial neural network study combines topics in areas such as Exponential stability and Applied mathematics.
He interconnects Disturbance, State observer, Estimator, Process control and Robustness in the investigation of issues within Control system. His Linear matrix inequality research incorporates themes from Robust control and Stability. His Stability research is multidisciplinary, incorporating elements of Stability criterion, Derivative, Delay dependent, Mathematical optimization and Upper and lower bounds.
His scientific interests lie mostly in Control theory, Artificial intelligence, Process, Fuzzy logic and Artificial neural network. His work in Control theory tackles topics such as Estimator which are related to areas like Stability. His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning and Pattern recognition.
His research on Process also deals with topics like
Directional drilling and related Model predictive control and Trajectory,
Sintering together with Process engineering. His Fuzzy logic study also includes
Time series and Random forest most often made with reference to Cluster analysis,
Support vector machine together with Rate of penetration, Mathematical optimization and Data mining. In his study, which falls under the umbrella issue of Artificial neural network, State and Stability criterion is strongly linked to Applied mathematics.
His scientific interests lie mostly in Control theory, Artificial neural network, Artificial intelligence, Fuzzy logic and Control system. The various areas that Min Wu examines in his Control theory study include Estimator and Process. His study in Artificial neural network is interdisciplinary in nature, drawing from both Anomaly detection, Symmetric matrix, Applied mathematics and Dynamic time warping.
His studies in Fuzzy logic integrate themes in fields like Cluster analysis and Time series. His work carried out in the field of Control system brings together such families of science as Observer, State observer, Control and Disturbance. Min Wu has included themes like Stability criterion, Automatic frequency control and Electric power system in his Linear matrix inequality study.
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Technical Communique: Delay-dependent criteria for robust stability of time-varying delay systems
Min Wu;Yong He;Jin-Hua She;Guo-Ping Liu.
Technical communique: Delay-range-dependent stability for systems with time-varying delay
Yong He;Qing-Guo Wang;Chong Lin;Min Wu.
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)
Delay-dependent stabilization of linear systems with time-varying state and input delays
Xian-Ming Zhang;Min Wu;Jin-Hua She;Yong He.
Free-Matrix-Based Integral Inequality for Stability Analysis of Systems With Time-Varying Delay
Hong-Bing Zeng;Yong He;Min Wu;Jinhua She.
IEEE Transactions on Automatic Control (2015)
New delay-dependent stability criteria and stabilizing method for neutral systems
Min Wu;Yong He;Jin-Hua She.
IEEE Transactions on Automatic Control (2004)
Stability Analysis and Robust Control of Time-Delay Systems
Jin-Hua She;Yong He;Min Wu.
Improving Disturbance-Rejection Performance Based on an Equivalent-Input-Disturbance Approach
Jin-Hua She;Mingxing Fang;Y. Ohyama;H. Hashimoto.
IEEE Transactions on Industrial Electronics (2008)
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)
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