In Intelligent Transport Systems, traffic management and providing stable routing paths between vehicles using vehicular ad hoc networks (VANET's) is critical. Lots of research several techniques a long path lifetime have been presented to resolve this issue. However, the algorithms suffer excessive overhead or collisions when solving complex optimization problems. order improve efficiency perf...

In this study the electric power generation from the Kayabogazi Dam has been investigated using Fuzzy logic algorithm to optimize the required power demand. In the implementation of the algorithm the real data recorded by the State Water Works (DSI) which is representing monthly average water flow to the Kayabogazi Dam has been used. An easy and operator friendly control algorithm has been deve...

Switched Reluctance Motors (SRMs) are increasingly popular machines in electrical drives, whose performances are directly related to their operating conditions. Their dynamic characteristics vary as conditions change. Recently, several methods of the modeling of the magnetic saturation of SRMs have been proposed as analytical functions. However, the SRM system is nonlinear and cannot be adequat...

In this study, the designs of conventional proportional-integral (PI) controller, fuzzy logic (FL), and gain scheduling adaptive (GSA) based PI controllers their performances are presented for uninterruptible power supply (UPS) output regulation. The controller having constant parameters is commonly used inverter in UPS. However, whose updated instead using fixed one might provide better perfor...

In this work the recently developed fuzzy logic-based adaptive Kalman filter (FL-AKF) is used to build adaptive centralized, decentralized, and federated Kalman filters for Adaptive MultiSensor Data Fusion (AMSDF). The adaptation carried out is in the sense of adaptively adjusting the measurement noise covariance matrix of each local FL-AKF to fit the actual statistics of the noise profiles pre...

In the present paper we develop a stochastic (Markov chain) model for a mathematical description of the decision making (DM) process and we apply principles of fuzzy logic (FL) in representing the DM process in a fuzzy environment. Further, we develop an innovative approach for studying the step of verification of a chosen decision, which is based on principles of FL (a special form of the COG ...

In this paper we discuss the ability to deal with a fuzzy logic navigation approach for intelligent autonomous mobile robots in unknown environments. The aim of this work is to develop hybrid intelligent system combining Fuzzy Logic (FL) and Expert System (ES). This combination provides the robot the possibility to move from the initial position to the final position (target) without collisions...

The nonlinear characteristics and intense credence dependence of photovoltaic (PV) panel on the solar irradiance ambient temperature demonstrate important challenges for researchers in PV topic. To overcome these problems, maximum power point tracking (MPPT) controller is needed which can improve efficiency. In other words, efficiency, MPPT help to extract optimal overall available output from ...

The term Soft Computing (SC) represents the combination of emerging problem-solving technologies such as Fuzzy Logic (FL), Probabilistic Reasoning (PR), Neural Networks (NNs), and Genetic Algorithms (GAs). Each of these technologies provide us with complementary reasoning and searching methods to solve complex, real-world problems. After a brief description of each of these technologies, we wil...

Optimizing transverse particle distributions in the accumulator ring is one of most important factors to the future performance of the Spallation Neutron Source (SNS) [1]. This can only be achieved by optimizing the injection bumps that paint the beam in phase space. The process is complex due to the vague distribution inputs and the multiple optimization goals. Furthermore, the priority of the...