Self-evolutionary control architecture based on distributed brain-inspired decision making and privacy-preserving PID
Traditional PID control suffers from limited parameter adaptability in complex dynamic systems and poor robustness against nonlinearities and uncertain disturbances. Meanwhile, in distributed power control scenarios, the risk of leakage regarding multi-node sensor data and AI model parameters hinders the practical impl...