DocumentCode
335274
Title
Well-defined series and parallel D-spectra for linear time-varying systems
Author
Zhu, J. Jim
Author_Institution
Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA
Volume
1
fYear
1994
fDate
29 June-1 July 1994
Firstpage
734
Abstract
An nth-order, scalar, linear time-varying (LTV) systems y(n)+Σk=1nαk(t)(k-1)=0 can be conveniently represented as 𝒟α{y}=0 using the scalar polynomial. Differential operator (SPDO) 𝒟α=δn+Σk=1nαk(t)δk-1, where δ=d/dt is the derivative operator. Based on a classical result of Floquet (1879) on the factorization of SPDO 𝒟α=(δ-λn(t))...(δ-λ1(t)), a unified eigenvalue theory has recently been developed. In that theory the collection {λk(t)}k=1n are called a series D-spectrum (SD-spectrum) for 𝒟α and an n-parameter family {ρk(t)=λ1,k(t)}k=1n are called a parallel D-spectrum (PD-spectrum) for 𝒟α, where λ1,k(t) are particular solutions for λ1(t) satisfying some nonlinear independence constraints. Although more than a century old, the important Floquet factorization has apparently not been fully harnessed in LTV system theory and control, due mainly to the well-known fact that even for a 2nd-order time-invariant SPDO, the PD-eigenvalue ρ(t)=λ1(t) satisfying the scalar Riccati equation λ˙1+λ12+α2λ1+α1λ1=0 may suffer from finite-time singularities known as finite-escapes. In this paper, necessary and sufficient conditions for the existence of well-defined (free of finite-time singularities) SD- and PD-spectra for SPDOs with complex- and real-valued coefficients are presented. The new results will have significant impact on applications of the unified eigenvalue theory to the analysis and control of LTV systems, and its further development.
Keywords
eigenvalues and eigenfunctions; linear systems; polynomials; series (mathematics); time-varying systems; factorization; linear time-varying systems; nth-order scalar system; parallel D-spectra; scalar Riccati equation; scalar polynomial; unified eigenvalue theory; well-defined series; Constraint theory; Control system analysis; Control systems; Eigenvalues and eigenfunctions; Image processing; Laboratories; Polynomials; Remote sensing; Riccati equations; Time varying systems;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1994
Print_ISBN
0-7803-1783-1
Type
conf
DOI
10.1109/ACC.1994.751837
Filename
751837
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