Stable worst-case iterative identification and control redesign via unfalsification

This work is a further development of a recently introduced iterative identification and control redesign scheme by Veres(1) which is based on the concept of model unfalsification, In this scheme convergence of the iterations and attainment of nearly optimal worst-case control performance is ensured under the a priori given set of controller structures. This paper makes two contributions: proposes the use of Laguerre and Kautz models and introduces caution into the iterative steps of this scheme similarly as it was done by Anderson et al.(2) An advantage will be that structure selection of the models will be based on control related criteria, hence model structure selection will be intrinsic to the iterative scheme. (C) 1999 John Wiley & Sons Ltd.