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— In this paper we propose a fuzzy PI-PD controller that is tuned by using Genetic Algorithm(GA). The fuzzy PI-PD controller preserves the linear structure of the conventional one, but has self-tuned gains. The proportional, integral and derivative gains are nonlinear functions of their input signals having certain adaptive capability in set-point tracking(More)
This paper presents the MATLAB simulink dynamic model of the load frequency control (LFC) of a realistic two area power system having diverse sources of power generation. The DC link is used in parallel with AC tie line for the interconnection of power system. The power system simulation is done using MATLAB simulink and control problem is solved using(More)
This paper presents the analysis of the load frequency control (LFC) of a realistic two area interconnected power system having diverse sources of power generation. A Thyristor Controlled Phase Shifter (TCPS) is used in series with AC tie line for improving the dynamic performance of the LFC system. The power system simulation is done using MATLAB Simulink(More)
This paper presents a Modified Smith Predictor (MSP) controller to design a novel Active Queue Management (AQM) scheme. The controller decouples the setpoint response from the load response and shows a stable response for a Transmission Control Protocol(TCP) flow dynamics, which is highly oscillatory or unstable under practical conditions. The proposed(More)
Social bookmarking is one of the many phenomena in the Web2.0 environment. They are largely experimental, but some of them are very popular and very useful. Delicious is one of the most popular social bookmarking tools.The general internet users as well as the teachers and learners have been well adapting to the emerging technologies to integrate the(More)
A simple closed loop identification method is proposed to design a PID-P controller for TITO systems. A pair of relays is simultaneously connected in parallel with the PID controllers. Based on the limit cycle data, a diagonal TITO transfer function model of the system dynamics are obtained. Then the PID parameters are estimated using the identified model(More)
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