Identification of uncertain systems. II: Parametric constraints (Q1881939)

For Part I see Autom. Remote Control 58, No. 11, Pt. 2, 1795--1805 (1997); translation from Avtom. Telemekh. 1997, No. 11, 118--130 (1997; Zbl 0929.93011). The paper is devoted to an application of an adaptive approach to derive parametric and uncertainty constraints for a continuous time-varying system with generalized input. A method of estimating constraints under uncertainty is studied. Models and adaptive algorithms for identifying the upper and lower bounds of the domain of parametric constraint are designed. The properties of an adaptive system for which the information-matrix excitations do not hold are studied.