The low-frequency electromechanical oscillations (LFEOs) in electric power system are because of weaker interties, uncertainties, various faults and disturbances. These LFEOs (0.2–3 Hz) less magnitude responsible for lower transfer, increased losses also threaten the stability system. An adaptive interval type-2 fuzzy sliding mode controlled stabilizer (AIT2FSMC-PSS) is presented to neutralize ...

To solve the dimensional explosion problem, this paper proposes a new architecture for fuzzy system, deep hierarchical self-organizing interval type-2 system (DHSOIT2FS). Each sub-fuzzy is constructed online, with rules by rule online update algorithm, consequent parameters updated iterative least squares, and antecedent are using gradient descent algorithm. DHSOIT2FS uses classic serial-layere...

A fuzzy logic and neuro-fuzzy system for classification of hydrometeor type based on polarimetric radar measurements is described in this paper. The hydrometeor classification system is implemented by using fuzzy logic and a neural network, where the fuzzy logic is used to infer hydrometeor type, and the neural network learning algorithm is used for automatic adjustment of the parameters of the...

The interval type-2 fuzzy, combined with sliding mode control, is proposed in this paper to design a novel nonlinear robust controller for a hypersonic aircraft. In this method, sliding mode reaching law is designed to keep the system stable. In order to overcome the uncertain parameters and external disturbances which exist in aerospace, we utilize an interval type-2 fuzzy approach represented...