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A_Brief_Tutorial_on_Interval_Type-2_Fuzzy_Sets_an
- This tutorial illustrates the basic ideas of interval type-2 (IT2) fuzzy sets and systems, and provides a Matlab implementation of IT2 fuzzy logic system (FLS). One obstacle in learning IT2 fuzzy logic is its complex notations. In this tutorial w
ELK-1107-10_manuscript_1
- Type-1 fuzzy sets theory was proposed to handle uncertainty in control systems. But some cases showed some liabilities of Type-1 fuzzy sets when facing with unpredictable disturbance and uncertainties. Therefore Type-2 fuzzy sets was introduced
2005_FUZZY05(EmbeddedType2FLC)
- Marine and Traction propulsion systems operate in highly dynamic and uncertain control environments. The current speed controllers for marine/traction propulsion systems are based on PID and type-1 Fuzzy Logic Controllers (FLCs) which ca
IT2-fuzzy-expert-system-for-prediction-of-carbon-
- This paper presents an indirect approach to interval type-2 fuzzy logic system modeling to forecaste the level of air pollutants. The type-2 fuzzy logic system permits us to model the uncertainties among rules and the parameters related to data analy
PSSF2
- An interval type-2 fuzzy logic controller (IT2FLC) is proposed in this paper for the design of power system stabilizer (PSS) of a single machine infinite bus (SMIB) and multi machine infinite bus (MMIB) system incorporated with an AC1A exciter. For c
fuzzy-1-and-2-
- Toolbox for Interval Type-2 Fuzzy Logic Systems Type-2 systems has been becoming the focus of research in the field of fuzzy logic in recent years Comparing with type-1 systems, type-2 fuzzy systems are more complex and relatively more difficult to u
20170609080945510
- type-2 fuzzy controllers (T2FLC) are designed to control position of yaw and pitch angles of the Twin Rotor Multi-input Multi-output System (TRMS) characterized with nonlinear dynamics and uncertainties
barbosa2016
- Linear Quadratic Gaussian (LQR) controller and Kalman Filter (KF) both are robust when acting separately, but this property is lost if using them together.
c72e5dd2127eecc688cd6c5d0299e28b3ab1
- This paper focuses on the design of a novel control approach. Its contribution to the existing literature is that in the design of an interval type-2 fuzzy neural system, recursive fuzzy c-means clustering algorithm is used and the designed algorithm