Users Also Read
MCQ's Search Engine
Electrical Engineering
Mechanical Engineering
Civil Engineering
Automobile Engineering
Chemical Engineering
Computer Engineering
Electronics Engineering
Medical Science Engg
All Engineering Dictionary Terms
Definition of "fuzzy model" |
Fuzzy model is often used to represent nonlinear dynamic systems, by interpolating between local linear, time-invariant (LTI) ARX models. There are two approaches to extract a linear model from the fuzzy model around a given operating point. The first approach is based on the fact that the TS model interpolates between local linear models. Hence, the extracted linear model is obtained by interpolating the parameters of the local models in the TS model. The second approach extracts the parameters of the linear model by Taylor expansion. The locally interpreted interpolated model is not identical to the model obtained by this Taylor expansion based linearization of the fuzzy model. For the identification of a fuzzy model, also two approaches can be followed. With the global approach the parameters of all rule consequences are estimated within one identification problem, yielding an optimal predictor. The local parameter estimation does not estimate all parameters simultaneously. It rather divides this task into a set of weighted least-squares problems. As it has been shown in this project, only consequent parameters obtained by local estimation (weighted least squares) can be interpreted locally and used as a Linear Parameter Varying (LPV) model in the MPC where the extracted model parameters are interpolated. Parameters obtained by global identification do not lend themselves to the LPV interpretation. Such a model is only applicable where the extracted models are obtained by Taylor-series linearization. / See also fuzzy inference system. |
Please type any word or choose alphabet below... |
A
B
C
D
E
F
G
H
I
J
K
L
M N O P Q R S T U V W X Y Z 1 2 3 4 5 6 7 8 9 0 |