PID Tuning Approach Using Kolmogorov–Arnold Networks Under Varying Operational Conditions
This paper investigates the use of Kolmogorov–Arnold networks (KANs) for dynamic proportional-integral-derivative (PID) control tuning in first- and second-order linear systems under noisy conditions, time-varying reference trajectories, and varying plant parameters. Toy datasets, based on instantaneous system error, o...