Sentence examples for considered fuzzy from inspiring English sources
The considered fuzzy large-scale systems consist of several interconnected subsystems with different switching modes and each switching mode is described by T S fuzzy models.
Two forms of neural computation are considered: fuzzy neural computation based on fuzzy sets and rough neural computation based on rough sets.
Published the following summer in the journal Information and Control, the paper began with a brief accounting of what Zadeh considered fuzzy: For example, the class of animals clearly includes dogs, horses, birds, etc. as its members and clearly excludes such objects as rocks, fluids, plants, etc.
In order to be able to implement the control structure, two crucial points have to be solved in the considered fuzzy context, on the one hand the model identification, and on the other, the model inversion.
In contrast to the existing methods for designing the SOF H∞ controllers, the output matrices of the considered fuzzy system are allowed to be non-common and to have uncertainties.
Klement et al. [19] considered fuzzy versions of random sets in Euclidean spaces and obtained an i.i.d.i.d
In one such case, Ashraf et al. have explored a Takagi Sugeno fuzzy-based control approach in dealing with transient stability augmentation of multi-machine power system, while Bakhshi et al. have considered fuzzy-based damping control approach though local measurements for the purpose of enhancing transient stability in power systems [1, 2].
To do more sensitivity anlysis of the proposed research, it is tried to consider fuzzy parameters with least fuzziness, so each parameter were set as (a − 0.01, a, a + 0.01) and the problem was optimized using our proposed method.
This paper considers fuzzy logic control method for DC link current regulation in CSHPF.
On this basis, considering fuzzy character of performance degradation condition boundary, FCM is introduced in degradation condition recognition.
In this paper, we consider fuzzy identification of uncertain nonlinear systems in Takagi Sugeno (T S) form for the purpose of robust fuzzy control design.
