  Conventional multiple-point active noise control (ANC) systems require
placing error microphones within the region of interest (ROI), inconveniencing
users. This paper designs a feasible monitoring microphone arrangement placed
outside the ROI, providing a user with more freedom of movement. The soundfield
within the ROI is interpolated from the microphone signals using a
physics-informed neural network (PINN). PINN exploits the acoustic wave
equation to assist soundfield interpolation under a limited number of
monitoring microphones, and demonstrates better interpolation performance than
the spherical harmonic method in simulations. An ANC system is designed to take
advantage of the interpolated signal to reduce noise signal within the ROI. The
PINN-assisted ANC system reduces noise more than that of the multiple-point ANC
system in simulations.
