In this paper an Interval Type2 Fuzzy Logic (IT2FL) controller is proposed for the control of DC-DC converters to attain a good output voltage regulation and dynamic response. The buck and boost type DC-DC converters are considered for the implementation of the IT2FL controller. To study the effects on the system performance, the conventional PI and type-1 fuzzy controller are designed and comp...

Fuzzy Logic controllers have been successfully applied in a large number of control applications, with the most commonly used controller being the PID controller. Fuzzy logic controllers provide an alternative to PID controllers, as they are a good tool for the control of systems that are difficult to model. The control action in fuzzy logic controllers can be expressed with simple “if-then” ru...

defuzzifier circuit is one of the most important parts of fuzzy logic controllers that determine the output accuracy. the center of gravity method (cog) is one of the most accurate methods that so far been presented for defuzzification. in this paper, a simple algorithm is presented to generate triangular output membership functions in the mamdani method using the multiplier/divider circuit and...

introduction to define the clinical features, biochemical and histological findings and outcome of three forms of autoimmune hepatitis.   materials and methods in a cross sectional study between november 2001 to january 2008 in tehran and mashhad university of medical sciences, 61 children who diagnosed as aih (40 girls and 21 boys) have been analyzed for their clinical, serological, and histol...

A novel adaptive fuzzy logic controller (AFC) based on interval type-2 fuzzy is proposed for vehicle non-linear active suspension systems. The adaptive strategy elicited from Least Means Squares optimal algorithm (LMS) is adopted to self-tune lower bounds and upper bounds of interval type-2 fuzzy membership functions (IMFs). The IMFs are utilized in the AFC design to deal with not only non-line...

This paper proposes the design of a Type‐2 Fuzzy Logic Controller (T2‐FLC) using Genetic Algorithms (GAs). The T2‐FLC was tested with different levels of uncertainty to regulate velocity in a Direct Current (DC) motor. The T2‐FLC was synthesized in Very High Description Language (VHDL) code for a Field‐ programmable Gate Array (FPGA), using the Xilinx System ...

Complex production systems can produce more than one part type. For these systems, production rate and priority of production for each part type is determined by production controllers. In this paper, genetic fuzzy logic control (GFLC) methodology is used to develop two production control architectures namely ‘‘genetic distributed fuzzy” (GDF), and ‘‘genetic supervisory fuzzy” (GSF) controllers...

We introduce a type-2 fuzzy logic system (FLS), which can handle rule uncertainties. The implementation of this type-2 FLS involves the operations of fuzzification, inference, and output processing. We focus on “output processing,” which consists of type reduction and defuzzification. Type-reduction methods are extended versions of type-1 defuzzification methods. Type reduction captures more in...