A robust adaptive algorithm for system identification and adaptive signal processing is derived. The algorithm can be viewed as a combination of the output-error-type and equation-error-type identifiers. No distributional assumptions on the noise term have been made. This approach allows computational advantages in obtaining the estimates, and it also allows us to identify any structural change.