Wei Wang
Dalian University of Technology
162 Papers
549 Citations
Wei Wang is an academic researcher from Dalian University of Technology. The author has contributed to research in topics: Computer science & Nonlinear system. The author has an hindex of 30, co-authored 159 publications. Previous affiliations of Wei Wang include Dalian Maritime University & University of Beira Interior.
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Papers
Big Scholarly Data: A Survey
TL;DR: The background and state of the art of scholarly data management and relevant technologies are examined, and data analysis methods, such as statistical analysis, social network analysis, and content analysis for dealing with big scholarly data are reviewed.
286
Stability Analysis for Linear Switched Systems With Time-Varying Delay
Xi-Ming Sun,Wei Wang,Guo-Ping Liu,Jun Zhao +3 more
- 01 Apr 2008
TL;DR: It is concluded that the stability result for linear switched systems still holds for such systems with time-varying delay under a certain delay bound, and the delay bound of guaranteeing system stability can be easily obtained based on linear matrix inequalities (LMIs).
280
Prescribed Performance Consensus of Uncertain Nonlinear Strict-Feedback Systems With Unknown Control Directions
Wei Wang,Dan Wang,Zhouhua Peng,Tieshan Li +3 more
- 01 Sep 2016
TL;DR: A leader-following consensus scheme is presented for networked uncertain nonlinear strict-feedback systems with unknown control directions under directed graphs, which can achieve predefined synchronization error bounds.
259
Containment control of networked autonomous underwater vehicles with model uncertainty and ocean disturbances guided by multiple leaders
TL;DR: A new predictor-based neural dynamic surface control design approach is presented to develop the adaptive containment controllers, under which the trajectories of vehicles converge to the convex hull spanned by those of the leaders.
216
Adaptive Tracking Control for a Class of Stochastic Uncertain Nonlinear Systems With Input Saturation
TL;DR: Under the proposed adaptive tracking controller, the boundedness of all the signals in the closed-loop system is achieved almost surely and the ultimate tracking error can be bounded by an explicit function of design parameters and input saturation error in the mean quartic sense.
202