  This paper presents some recent algorithms developed by the authors for
real-time adaptive active noise (AANC) control systems. These algorithms
address some of the common challenges faced by AANC systems, such as speaker
saturation, system divergence, and disturbance rejection. Speaker saturation
can introduce nonlinearity into the adaptive system and degrade the noise
reduction performance. System divergence can occur when the secondary speaker
units are over-amplified or when there is a disturbance other than the noise to
be controlled. Disturbance rejection is important to prevent the adaptive
system from adapting to unwanted signals. The paper provides guidelines for
implementing and operating real-time AANC systems based on these algorithms.
