نتایج جستجو برای: t s fuzzy model

تعداد نتایج: 3282544  

2013
Ruiyun Qi Limeng Zhu Bin Jiang

In this paper, a novel fault-tolerant control scheme is proposed for a class of uncertain multiple-input-multiple-output (MIMO) nonlinear systems based on online fuzzy clustering and identification. The unknown nonlinear function of the system is identified online using an evolving Takagi-Sugeno (T-S) fuzzy model and the fault-tolerant control law is designed based on the identified fuzzy model...

2010
H. Hedayati

On the basis of the concept of the interval valued intuitionistic fuzzy sets introduced by K. Atanassov, the notion of interval valued intuitionistic fuzzy subsemimodule of a semimodule with respect to t-norm T and s-norm S is given and the characteristic properties are described. The homomorphic image and inverse image are investigated. In particular, by the help of the congruence relations on...

2006
Xiaojun Ban X. Z. Gao Xianlin Huang Hang Yin

⎯ In our paper, the properties of the simplest Takagi-Sugeno (T-S) fuzzy controller are first investigated. Next, based on the well-known Popov criterion with graphical interpretation, a sufficient condition in the frequency domain is proposed to guarantee the globally asymptotical stability of the simplest T-S fuzzy control system. Since this sufficient condition is presented in the frequency ...

Journal: :IEEE Access 2023

DC microgrid offers high efficiency, simple control, and reduced conversion stages advantages, but suffers from induced instability caused by its low inertia. Due to the strong nonlinearity of microgrid, analysis large-signal stability (LSS) is a very challenging task. This paper uses T-S fuzzy model (TSFM) method investigate LSS with various loads, which connected AC grid. The TSFM grid-connec...

2014
Sang-Hong Lee Joon S. Lim

In this study, we propose evolutionary instance selection based on the Takagi-Sugeno (T-S) fuzzy model. The previous neural network with weighted fuzzy membership functions (NEWFM) supports feature selection; thus, it enables the selection of minimum features with the highest performance. The enhanced NEWFM supports a weighted mean defuzzification in the T-S fuzzy model with a confidence interv...

Journal: :Expert Syst. Appl. 2011
E. Sivaraman S. Arulselvi

The inverted pendulum is a highly nonlinear and open loop unstable system. To develop an accurate model of the inverted pendulum, different linear and nonlinear methods of identification will be used. However one of the problems encountered during modeling is the collection of experimental data from the inverted pendulum system. Since the output data from the unstable system does not show enoug...

Journal: :DEStech Transactions on Engineering and Technology Research 2017

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