ArticleBiomimetics (Basel, Switzerland)2026
Optimizing the Cascade Deep Neural Network Parameters Using an Egret Swarm Optimisation Algorithm: An Application to PID Tuning for the AVR with Shallow Controller.
Article in Biomimetics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Voltage regulation of synchronous generators remains a significant and complex challenge in the field of engineering, particularly under varying load conditions. Although various control strategies have been applied to Automatic Voltage Regulator (AVR) systems for managing the terminal voltage of synchronous generators, Proportional-Integral-Derivative (PID) controllers continue to be one of the most fundamental and widely used approaches due to their simplicity, reliability, and robust structure. The tuning process, which involves determining the optimal values of the three fundamental parameters of a PID controller-namely the coefficients for the proportional, integral, and derivative terms (
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