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In this paper, Particle Swarm Optimization algorithm is applied to design an optimum intelligent controller based on brain emotional learning. BELBIC controller is tuned to improve the time domain parameters such as percent overshoot, steady state error, settling time and rise time of the step response of an Automatic Voltage Regulator. Also the convergence characteristic of fitness function averaged...
This paper presents the implementation of an intelligent pass strategy for soccer robots using fuzzy logic. The proposed strategy calculates pass confidence and detects the best destination robot and best position for passing. The most important factors of a proper pass are detected and are deployed to construct the inputs of fuzzy system. The rule base of the fuzzy system is extracted by utilizing...
The paper elaborates the design of an optimal feedback control system for a washing machine. It is sought to save on the water and energy consumption and the associated wear and tear and detergent consumption through monitoring the washing process via feedback sensors rather than following a fixed cycle. A lumped nonlinear model is first fitted to empirical data. After choosing an appropriate objective...
In this paper a fuzzy control scheme for active suspension design has been considered. The objective of control is to improve the ride comfort and road holding ability under different road condition. A good suspension system should reduce the body (sprung mass) acceleration to improve the ride comfort. The performance of fuzzy logic controller active suspension is compared with optimal controller...
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