Title :
Some conditions for almost strict positive realness
Author :
Livnch, R. ; McLaren, M.D. ; Slater, G.L.
Author_Institution :
Dept. of Aerosp. Eng. & Eng. Mech., Cincinnati Univ., OH, USA
Abstract :
The requirement for an `almost strictly positive real´ (ASPR) system as a part of the stability analysis of the `simplified adaptive controller´ is considered. This property is examined for minimum-phase system and is related to output stabilizability and to the steady-state Riccati equation. A numerical procedure is developed to determine whether a given system is ASPR, and its application is illustrated with an example. The algorithm exhibits excellent convergence for all minimum-phase cases with collocated sensors/actuators, but does not perform as well in the presence of small perturbations in the collocated output matrix C. However, as is common in numerical procedures of this sort, failure of the algorithm does not prove that a given system is not ASPR
Keywords :
adaptive control; control system analysis; convergence of numerical methods; stability criteria; Riccati equation; adaptive controller; almost strict positive real systems; convergence; minimum-phase system; stability analysis; Eigenvalues and eigenfunctions; Filtering theory; Kirchhoff´s Law; Open loop systems; Output feedback; Transfer functions; Upper bound;
Conference_Titel :
Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
Conference_Location :
Honolulu, HI
DOI :
10.1109/CDC.1990.204079