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In this paper, a self‐tuning algorithm for proportional integral derivative (PID) control based on the adaptive interaction (AI) approach theory efficiently used in artificial neural networks (ANNs) is proposed. In this approach, a system is decomposed into interconnected subsystems, and adaptation occurs in the interaction weights among these subsystems. The principle behind the adaptation algorithm...
A self-tuning algorithm for PID controller based on adaptive interaction approach efficiently used in the Artificial Neural Networks (ANNs) is proposed in this paper. The principle behind the adaptation algorithm is mathematically isometric to the back-propagation algorithm (BPA). By applying Adaptive Interaction (AI), the same adaptation as the well-known BPA can be achieved without the need of a...
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