By Topic

Comments on "Analysis and design of fuzzy controller and fuzzy observer" [with reply]

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Hyung-Jin Kang ; Mando Machinery Corp., Kyongki, South Korea ; Ma, X.-J. ; He, Y.-Y.

The main advantage of Takagi-Sugeno (TS) fuzzy model is the ability to approximate the nonlinear systems from the input-output data without the complex mathematical equations. In order to obtain TS fuzzy model from the input-output data, all the system variables should be measurable. Therefore, in case of TS fuzzy model-based control, the observer design is of no good except the very special case. In this correspondence, we show this fact by analyzing the problems of the above paper by Ma et al. (ibid. vol.6 (1998)). In reply, Ma et al. point out that: 1) for TS fuzzy model, it is not necessary to make all the system variables measurable; 2) no accuracy is needed for the fuzzy model; and 3) the nonlinearities of the plant (31) given in the paper are the functions of variables x/sub 1/, x/sub 2/ and x/sub 4/.

Published in:

Fuzzy Systems, IEEE Transactions on  (Volume:7 ,  Issue: 6 )