Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):

C. Hametner, S. Jakubek:
"New concepts for the identification of dynamic Takagi-Sugeno Fuzzy models";
Vortrag: 2nd IEEE International Conference on Cybernetics & Intelligent Systems, Bangkok, Thailand; 07.06.2006 - 09.06.2006; in: "2nd IEEE International Conference on Cybernetics & Intelligent Systems", (2006), ISBN: 1-4244-0023-6; Paper-Nr. P0253, 6 S.

Kurzfassung englisch:
Takagi-Sugeno Fuzzy Models have proved to be
a powerful tool for the identification of nonlinear dynamic
systems. Recent publications have addressed the problems of
local versus global accuracy and the identifiability and interpretability
of local models as true linearisations. The latter issue
particularly concerns off-equilibrium models. Well-established
solution approaches involve techniques like regularisation and
multi-objective optimisation. In view of a practical application
of these models by inexperienced users this paper addresses
the following issues: 1. Unbiased estimation of local model
parameters in the presence of input- and output noise. At the
same time the dominance of the trend term in off-equilibrium
models is balanced. 2. The concept of stationary constraints
is introduced. They help to significantly improve the accuracy
of equilibrium models during steady-state phases. A simulation
model demonstrates the capabilities of the proposed concepts.

Takagi-Sugeno Fuzzy Models, Nonlinear System Identification, Identification Algorithms

Elektronische Version der Publikation:

Erstellt aus der Publikationsdatenbank der Technischen Universitšt Wien.