Design of an Adaptive PID Neural Controller for Continuous Stirred Tank Reactor based on Particle Swarm Optimization

A particle swarm optimization algorithm and neural network like self-tuning PID controller for CSTR system is presented. The scheme of the discrete-time PID control structure is based on neural network and tuned the parameters of the PID controller by using a particle swarm optimization PSO techniqu...

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Auteurs principaux: Khulood A. Dagher, Ahmed S. Al-Araji
Format: article
Langue:EN
Publié: Al-Khwarizmi College of Engineering – University of Baghdad 2013
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Accès en ligne:https://doaj.org/article/67983fa804714254aa5176c04c50ac76
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