2006
DOI: 10.1007/s11253-006-0159-5
|View full text |Cite
|
Sign up to set email alerts
|

Invariant cones and stability of linear dynamical systems

Abstract: We present a method for the investigation of the stability and positivity of systems of linear differential equations of arbitrary order. Conditions for the invariance of classes of cones of circular and ellipsoidal types are established. We propose algebraic conditions for the exponential stability of linear positive systems based on the notion of maximal eigenpairs of a matrix polynomial.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
31
0

Year Published

2007
2007
2017
2017

Publication Types

Select...
4
1

Relationship

1
4

Authors

Journals

citations
Cited by 7 publications
(31 citation statements)
references
References 11 publications
0
31
0
Order By: Relevance
“…In particular, we establish sufficient conditions for the invariance of a time-varying ellipsoidal cone for a certain class of nonlinear differential systems. Analogous results for linear systems were established in [3,4].…”
Section: Introductionmentioning
confidence: 62%
See 1 more Smart Citation
“…In particular, we establish sufficient conditions for the invariance of a time-varying ellipsoidal cone for a certain class of nonlinear differential systems. Analogous results for linear systems were established in [3,4].…”
Section: Introductionmentioning
confidence: 62%
“…Inequality (2.11) is a generalization of known conditions for the invariance of an ellipsoidal cone for linear systems [3,4].…”
Section: Example 23 For the Nonlinear Systeṁmentioning
confidence: 99%
“…Theorem 3.1. Let a polyhedron P = {x | Gx ≤ b}, where G ∈ R m×n and b ∈ R m , and the discrete system be given as in (1). Assume that b i − G T i f d (x) are convex functions for all i ∈ I(m).…”
Section: Invariance Conditions For Discrete Systemsmentioning
confidence: 99%
“…They also provide alternative ways to design efficient algorithms to construct invariant sets. Linear discrete and continuous dynamical systems have been extensively studied in recent decades, since such systems have a wide range of applications in control theory, see, e.g., [1,4,15]. Invariance condition for linear systems are relatively easy to derive while analogous conditions for nonlinear systems are more difficult to derive.…”
Section: Introductionmentioning
confidence: 99%
“…The proposed approach can be used for the investigation of the stability of Takagi -Sugeno systems [7] and systems in semiordered spaces (see [8,9]). …”
Section: Corollary 3 If All Conditions Of Theorem 3 Are Satisfied Fomentioning
confidence: 99%