Talks and Poster Presentations (with Proceedings-Entry):
C. Mayr, C. Hametner, M. Kozek, S. Jakubek:
"Relaxed Fuzzy Lyapunov Approach for Dynamic Local Model Networks";
Talk: 2011 IEEE International Conference On Fuzzy Systems,
Taipei, Taiwan;
2011-06-27
- 2011-06-30; in: "Proceedings of the 2011 IEEE International Conference On Fuzzy Systems",
(2011),
ISBN: 978-1-4244-7315-1;
1546
- 1553.
English abstract:
This paper deals with the problem of stability anal- ysis of dynamic local model networks. Established methods in this context are mainly based on Lyapunov stability theory and are targeted to be as little conservative as possible. In this respect it is essential to take into account the transitions between the different local models. For that purpose this paper presents and discusses a method to determine possible model transitions of such dynamic local model networks utilizing identification or simulation data. The effectiveness of the proposed method is shown by a simulation example in connection with the fuzzy Lyapunov approach as a stability criterion. The example demonstrates how identification data can be used to reduce the conservatism compared to standard approaches.
Keywords:
local model networks, fuzzy Lyapunov function, stability, system identification
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/FUZZY.2011.6007486
Related Projects:
Project Head Stefan Jakubek:
Christian Doppler Labor für Modellbasierte Kalibriermethoden
Created from the Publication Database of the Vienna University of Technology.