Title
Local State-Feedback Stabilization Of Nonlinear Fuzzy Systems With Measurement Errors In The State
Abstract
This paper deals with the local state-feedback control design problems for continuous-time Takagi-Sugeno (TS) fuzzy systems with the measurement errors in the state. The state-feedback controller is designed in such a way that the closed-loop system is locally asymptotically stable. The stability is guaranteed to be robust against the measurement errors in the state. In addition, an inner estimation of the domain of attraction (DA) is obtained as a sublevel set of the obtained quadratic Lyapunov function. The design procedure is formulated as optimizations subject to linear matrix inequalities (LMIs).
Year
Venue
Field
2016
2016 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE)
Control theory,Nonlinear system,Matrix (mathematics),Control theory,Computer science,Symmetric matrix,Exponential stability,Lyapunov redesign,Fuzzy control system,Stability theory
DocType
ISSN
Citations 
Conference
1544-5615
0
PageRank 
References 
Authors
0.34
28
2
Name
Order
Citations
PageRank
Donghwan Lee1259.30
Jianghai Hu252064.76