Power system Stabilizers are used in order to damp out the low frequency oscillations which are due to disturbances. This paper attempts to investigate the performance of Conventional Power System Stabilizer (CPSS), Fuzzy Logic Power System Stabilizer (FLPSS) and Artificial Neural Network based Power System Stabilizer (ANNPSS) under Prefault and Postfault conditions for different loadings. The ...

In this paper a novel method for designing hierarchical fuzzy logic Systems are investigated. A new method using genetic algorithms for design of hierarchical fuzzy logic systems are proposed. The proposed method is then applied to financial modelling and prediction. A hierarchical fuzzy logic system is developed to predict quarterly interest rates in Australia. The new method proposed determin...

Trong bài báo này, chúng tôi trình bày việc thiết kế bộ điều khiển mờ (Fuzzy Logic Controller – FLC) tối ưu dựa trên thuật toán bầy đàn (Particle Swarm Optimization - PSO). Bộ FLC được với các hàm thuộc phân bố đều và đối xứng miền xác định của biến. Hệ luật xây dựng mối quan hệ biến thiên đơn điệu tăng giữa đầu ra vào, sử dụng PSO để hoá trọng số mỗi luật. Để so sánh đánh giá tính hiệu quả phư...

Cloud computing is an Information Technology deployment model established on virtualization. Task scheduling states the set of rules for task allocations to exact virtual machine in cloud environment. However, challenges such as optimal performance solutions, are addressed computing. First, due improved by proposing a Dynamic Weighted Round-Robin algorithm. This recommended DWRR algorithm impro...

Slowly but surely, intuitionistic fuzzy sets are giving away their secrets. By tracing them back to the underlying algebraic structure that they are defined on (a complete lattice), they can be embedded in the well– known class of L–fuzzy sets, whose formal treatment allows the definition and study of order–theoretic concepts such as triangular norms and conorms, negators and implicators, as we...

In this paper, a fuzzy controllers type Takagi_Sugeno is optimized by method of Particle Swarm Optimization (PSO). This algorithm automatically adjust the membership function of fuzzy controllers to control a trajectory of nonholonomic mobile robot that involves path trajectory using two optimized fuzzy controllers one for speed control and the other for azimuth control. The mobile robot is mod...

In order to accurately, fast and efficiently forecast the short-term load of power system, an improved particle swarm optimization algorithm is proposed to optimize the parameters of fuzzy radial basis function fuzzy neural network(FRBFNN) model in order to train the FRBFNN model for obtaining the optimized FRBFNN(IWPSRFN) method. In the proposed IWPSRFN method, the linear decreasing weight met...

In accordance with Tarski point of view, in this chapter the theory of closure operators is proposed as a unifying tool for fuzzy logics. Indeed, let F be the set of formulas of a given language. Then an abstract fuzzy logic is defined by a fuzzy semantics (i.e. a class of valuations of the formulas in F) and by a closure operator in the lattice of the fuzzy subsets of F (we call deduction oper...

In this study, the average surface roughness values obtained when turning AISI 4140 grade tempered steel with a hardness of 51 HRC, were modeled using fuzzy logic, artificial neural networks (ANN) and multi-regression equations. Input variables consisted of cutting speed (V), feed rate (f) and depth of cut (a) while output variable was surface roughness (Ra). Fuzzy logic and ANN models were dev...