Title :
The square root of linear time varying systems with applications
Author :
Dasgupta, Soura ; Anderson, Brian D O
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA
fDate :
12/1/1996 12:00:00 AM
Abstract :
This paper considers the extension of a number of passive multiplier theory based results, previously known only for linear time invariant scalar systems, to linear time varying (LTV) multivariable settings. The extensions obtained here have important applications to the stability of both adaptive systems and linear systems in general. We demonstrate in this paper that at the heart of the extensions carried out here lies the result that if a stable multivariable, linear time varying system is stable under all scalar constant, positive feedback gains, then it has a well defined square root. The existence of this square root is demonstrated through a constructive Newton-Raphson based algorithm. The various extensions provided here though different in form from their linear time invariant scalar counterparts, do recover these as special cases
Keywords :
Newton-Raphson method; linear systems; multivariable systems; stability; time-varying systems; Newton-Raphson algorithm; adaptive system; linear time varying multivariable system; passive multiplier theory; positive feedback; square root; stability; Adaptive systems; Australia; Feedback; Heart; Linear systems; Polynomials; Robustness; Stability; Time varying systems; Transfer functions;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on