F
Fen Wu
Researcher at North Carolina State University
Publications - 187
Citations - 5810
Fen Wu is an academic researcher from North Carolina State University. The author has contributed to research in topics: Control theory & Linear system. The author has an hindex of 32, co-authored 187 publications receiving 5351 citations. Previous affiliations of Fen Wu include Wuhan University & Langley Research Center.
Papers
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Journal ArticleDOI
Induced L2-norm control for LPV systems with bounded parameter variation rates
TL;DR: This work uses a bounding technique based on a parameter-dependent Lyapunov function, and then solves the control synthesis problem by reformulating the existence conditions into a semi-infinite dimensional convex optimization.
Proceedings Article
Nonlinear control synthesis by sum of squares optimization: a Lyapunov-based approach
TL;DR: In this paper, the state feedback control synthesis problems for nonlinear systems, either without or with guaranteed cost or H/sub /spl infin// performance objectives, were formulated in terms of state dependent linear matrix inequalities, and Semidefinite programming relaxations based on the sum of squares decomposition were used to efficiently solve such inequalities.
Journal ArticleDOI
Switching LPV control of an F-16 aircraft via controller state reset
Bei Lu,Fen Wu,SungWan Kim +2 more
TL;DR: A systematic switching LPV control design method is presented to determine if it is practical to use for flight control designs over a wide angle of attack region and parameter-dependent switching logics, hysteresis switching and switching with average dwell time, are examined.
Journal ArticleDOI
Switching LPV control designs using multiple parameter-dependent Lyapunov functions
TL;DR: This paper studies the switching control of linear parameter-varying (LPV) systems using multiple parameter-dependent Lyapunov functions to improve performance and enhance control design flexibility.
Journal ArticleDOI
A generalized LPV system analysis and control synthesis framework
TL;DR: In this article, a unified framework combines two seemingly diversified methods in systematic gain-scheduling, LPV control theory, and extends the applicability of full block S -procedure to a general class of LPV systems.