Microgrids is an new opportunity to reduce the total costs of power generation and supply the energy demands through small-scale power plants such as wind sources, photo voltaic panels, battery banks, fuel cells, etc. Like any power system in micro grid (MG), an unexpected faults or load shifting leads to frequency oscillations. Hence, this paper employs an adaptive fuzzy P-PID controller for f...

This paper presents circular polar coordinates transformation of periodic fuzzy membership function. The purpose is identification of domain of periodic membership functions in consequent part of IF-THEN rules. Proposed methods in this paper remove complicatedness concerning domain of periodic membership function from defuzzification in fuzzy approximate reasoning. Defuzzification on circular p...

Fuzzy numbers in number theory are a foundation of fuzzy sets and fuzzy mathematics that extend the domain of numbers from those of real numbers to fuzzy numbers. Fuzzy arithmetic is a system of fuzzy operations on fuzzy numbers. A theory of fuzzy arithmetic is presented towards a fuzzy mathematical structure for fuzzy inference and cognitive computation. The mathematical models of fuzzy number...

This paper introduces a new fuzzy clustering method with time-domain-constraints which is used to signal analysis. Proposed method makes it possible to include natural constraints for signal analysis using fuzzy clustering, that is, the neighboring samples of signal belong to the same cluster. This method can be called time-domainconstrained fuzzy clustering. This paper introduces two approache...

Fuzziness is not a priori an obvious concept and demands some explanation. “Fuzziness” is what Black (NF 1937) calls “vagueness” when he distinguishes it from “generality” and from “ambiguity.” Generalizing refers to the application of a symbol to a multiplicity of objects in the field of reference, ambiguity to the association of a finite number of alternative meanings having the same phonetic...

Gaussian Mixture Model (GMM) with Fuzzy c-means attempts to classify signals into speech and music. Feature extraction is done before classification. The classification accuracy mainly relays on the strength of the feature extraction techniques. Simple audio features such as Time domain and Frequency domain are adopted. The time domain features are Zero Crossing Rate (ZCR) and Short Time Energy...

Domain analysis tries to reuse software in an e ective way New methodologies are start ing to be able to automate the process in di erent degrees with the construction of a domain model for each problem The general process is divided into several phases One of the most di cult tasks is the generation of the relationships which have to be de ned between the components in the domain In this paper...

The VHDL-AMS based genetic optimization of fuzzy logic controller for movement control systems is discussed here. The designs have been carried out in the digital domain with HDL. The basic components of the fuzzy logic controller are designed using VHDL-AMS. The proposed work focuses on control of speed with respect to input parameter such as Alignment & distance with triangular membership fun...

Abstract: The following work outlines a robust method for accounting the fuzziness of the objective space while dealing with the real world optimization problems. Use of mean/approximated value of input parameters doesn't account for the variability in the optimized solution inherited due to variability in the input parameters which is very crucial, especially in real world problems. The follow...