Eigenvalue Assignment in Compensated Parameter Identifiers

The purpose of this paper is to utilize a class of compensated parameter identifiers for generating bias-free parameter estimates, in the presence of noise disturbance which accounts for the uncertainties in the system. A forward feedback is used to minimize the effect of noise. The observer form of state variable modeling is used to synthesize a ladder circuit whereby the compensated parameter identifiers are asymptotically stable, with added rapid convergence. A new technique is applied to derive state feedback that assures the assignment of closed-loop eigenvalues in arbitrary sectors within the unit circle.