H∞ fuzzy output feedback control design for nonlinear systems: an LMI approach
By Sing Kiong Nguang, Peng Shi. IEEE transactions on fuzzy systems, 2003
368 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/f02c9b0afb32dbceca1d7cf870482822e9ab66f0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Peng Shi
- Luka Eciolaza
- Tadanari Taniguchi
- Michio Sugeno
- Ligang Wu
- Víctor C. S. Campos
- Reinaldo Martinez Palhares
- Xiaojie Su
In Control and Systems Engineering
- Peng Shi
- Ligang Wu
- Yongduan Song
- Xiaojie Su
- Luka Eciolaza
- Tadanari Taniguchi
- Michio Sugeno
- Víctor C. S. Campos
Citations in the corpus
- Fuzzy Control Systems: Past, Present and Future (2019, background): “This topic should deserve more thorough consideration since it can greatly improve the flexibility of the control/observer design in many cases [69].”
- A Novel Control Design on Discrete-Time Takagi–Sugeno Fuzzy Systems With Time-Varying Delays (2013, background): “Recently, there appeared some results of output feedback H∞ control design for fuzzy systems, to name a few, for example, [1], [13], [14], [16], [17], [32] and the references therein.”