Adaptive control and robust linear design

Frequency-domain reformulations of the least squares prediction error criterion for system identification operating in closed loop are developed to describe the adaptive control model fit in terms of a frequency-weighted minimization of objects arising in robust linear control system design. Melding these results with local stability theory for adaptive systems permits the joint consideration of design variables from the linear control law selection and identification law stages to achieve robust stability and improved performance in adaptive control