Title :
On satisfying strict positive real condition for convergence by overparameterization
Author :
Shah, S. ; Franklin, G.F.
Author_Institution :
Integrated Systems, Incorporated, Palo Alto, CA, USA
fDate :
6/1/1982 12:00:00 AM
Abstract :
Strict positive real (SPR) conditions for global convergence of stochastic adaptive control and recursive identification schemes have appeared in a number of analyses using different approaches. It is shown that this strict positive real condition on the unknown operator associated with the plant can be removed in every case by a sufficient overparameterization of the parameter vector.
Keywords :
Adaptive control, linear systems; Autoregressive moving-average processes; Linear systems, stochastic; Positive real functions; Stochastic systems, linear; System identification, linear systems; Adaptive control; Convergence; Costs; Differential equations; Error correction; Least squares approximation; Polynomials; Stability; Stochastic processes; Technological innovation;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1982.1102961