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This study presents a novel hybrid generic decision method to obtain the best parameters of a PID (Proportional-Integral-Derivative) controller for desired specifications. The method used is to develop a ruled-based conceptual model of knowledge based system for PID design in Open-Loop. The study shows a hybrid system based on the organization of existing rules and a new way to obtain other specific...
With the aim to improve the steel rolling process performance, this research presents a novel hybrid system for selecting the best parameters for tuning in open loop a PID controller. The novel hybrid system combines rule based system and Artificial Neural Networks. With the rule based system, it is modeled the existing knowledge of the PID controller tuning in open loop and, with Artificial Neural...
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