Publication Type:

Conference Paper

Source:

FUZZ-IEEE, IEEE (2004)

URL:

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1375466

Abstract:

In this paper, optimal fuzzy observer is developed for discrete time nonlinear stochastic system based on Takagi-Sugeno (TS) fuzzy model. We design a optimal fuzzy observer using the mathematical duality and by extending the nonlinear Bayesian estimation using Gaussian sum approach to the TS fuzzy model.

Cite this Research Publication

P. P. Mohanlal and Dr. Kaimal, M. R., “Design of optimal fuzzy observer based on TS fuzzy model”, in FUZZ-IEEE, 2004.

207
PROGRAMS
OFFERED
5
AMRITA
CAMPUSES
15
CONSTITUENT
SCHOOLS
A
GRADE BY
NAAC, MHRD
8th
RANK(INDIA):
NIRF 2018
150+
INTERNATIONAL
PARTNERS