A Descriptor System Approach to Fuzzy Control System Design via Fuzzy Lyapunov Functions
By Kazuo Tanaka, Hiroshi Ohtake, Hua O. Wang. IEEE transactions on fuzzy systems, 2007
378 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Control and Systems Engineering, Numerical Analysis
View Paper: https://www.semanticscholar.org/paper/e2e45cd0b6f279a2f52031415611350a6d2f0b15
How researchers see this paper
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In Computational Theory and Mathematics
- Mohammed Chadli
- Reinaldo Martinez Palhares
- Gustavo S. C. Avellar
- Leonardo Amaral Mozelli
- Hamid Reza Karimi
In Control and Systems Engineering
- Mohammed Chadli
- Reinaldo Martinez Palhares
- Gustavo S. C. Avellar
- Leonardo Amaral Mozelli
- Hamid Reza Karimi
- Peng Shi
In Numerical Analysis
- Mohammed Chadli
- Reinaldo Martinez Palhares
- Gustavo S. C. Avellar
- Leonardo Amaral Mozelli
- Hamid Reza Karimi
Citations in the corpus
- A systematic approach to improve multiple Lyapunov function stability and stabilization conditions for fuzzy systems (2009, methodology): “For example: fuzzy Lyapunov functions [7,33,35,40]; nonquadratic Lyapunov functions [9]; and basis-dependent Lyapunov function [44,45].”
- Systematic Multimodeling Methodology Applied to an Activated Sludge Reactor Model (2010, neutral): “Different techniques are proposed to reduce the number of LMI conditions, which leads to less computational requirements 24 and eases the solution existence.”
- Robust Observer Design for Unknown Inputs Takagi–Sugeno Models (2013, methodology): “Notice that the reader can easily introduce multiple Lyapunov matrices Xi as used for the discrete-time case by using the result of [13] or [16].”