-This paper presents a combined model approach of Fuzzy Logic and Genetic Algorithm applied for non-linear behavioral compensation of Silicon Controlled Rectifier (SCR), for its improved performance (optimal variable output voltage). The optimized parametric compensation of SCR will be done by amalgamated algorithm of Fuzzy Logic Control and Genetic Algorithm. It is a shift from existing practi...

In this paper we have explained automatic test data generation particularly for class testing of object oriented programming. During test data generation we have implemented the Genetic program Fuzzy logic control auxiliary hybridization techniques. Some cases genetic algorithm has been used for optimized the desired results. As a future challenges we have made comments on the utilization of th...

This paper presents a novel indirect adaptive Power System Stabilizer (PSS) via a developed synergetic control methodology and fuzzy systems. Fuzzy system is utilized in an adaptive scheme to estimate the system using a nonlinear model. The synergetic control guarantees robustness of the controller and makes the controller easy to implement because of using a chatter free continuous control law...

simultaneous routing and resource allocation has been considered in wireless networks for its performance improvement. in this paper we propose a cross-layer optimization framework for worst-case queue length minimization in some type of fdma based wireless networks, in which the the data routing and the power allocation problem are jointly optimized with fuzzy distributed h∞ control strategy ....

This paper proposes an intelligent regenerative braking control of hybrid buses through a neuro-fuzzy controller (NFC) by combining the fuzzy logic algorithm and the artificial neural networks. The braking torque distribution between the integrating starting generator (ISG) and the friction disc brake is addressed through the proposed NFC. The results of simulation and validation show that the ...

This paper uses a quarter model of an automobile having passive and semiactive suspension systems to develop a scheme for an optimal suspension controller. Semi-active suspension is preferred over passive and active suspensions with regard to optimum performance within the constraints of weight and operational cost. A fuzzy logic controller is incorporated into the semi-active suspension system...

Aiming at the nonlinear characteristic of ultrasonic motor, some control strategies have been proposed to control the rotating speed of ultrasonic motor. But most of these strategies are too complex to realize using a low-cost embedded device. In this paper, a simple fuzzy speed controller is designed for ultrasonic motor. Until now, there has no mature and theoretic design method of fuzzy cont...

The design methods of fuzzy logic controls (FLC's) based genetic algorithms (GA's) are used to get an optimized and additional control signal to the high voltage direct current (HVDC) systems, through genetic algorithms. The optimal values for the gain factors associated with each of the two fuzzy logic controller inputs and its output is achieved without changing the membership functions or th...

This paper investigates the efficacy of an optimized fuzzy logic controller for real-time swing-up control and stabilization to a rigidly coupled twin-arm inverted pendulum system. The proposed utilizes Lyapunov criteria design ensure system stability. membership functions are further based on entropy function. is black-box approach, eliminating need accurate mathematical model experimental res...

Abstract Aircraft landing rollout process is a complex and high non-linearity process. The mutual effects of tire dynamics, aerodynamics multi-body dynamics should be taken into considerations. It difficult to accurately expressed in mathematics. Aiming at obtaining good directional control capability during aircraft autoland rollout, comprehensive simulation system was constructed including al...