AbstractThe dynamics of a 2D positive system depends on the pair of nonnegative square matrices that provide the updating of its local states. In this paper, several spectral properties, such as finite memory, separability, and property L, which depend on the characteristic polynomial of the pair, are investigated under the nonnegativity constraint and in connection with the combinatorial structure of the matrices. Some aspects of the Perron-Frobenius theory are extended to the 2D case; in particular, conditions are provided guaranteeing the existence of a common maximal eigenvector for two nonnegative matrices with irreducible sum. Finally, some results on 2D positive realizations are presented
AbstractReachability and observability of two-dimensional (2D) discrete state-space models are intro...
Reachability and observability of two-dimensional (2D) discrete state-space models are introduced in...
We study the combinatorial and algebraic properties of Nonnegative Matrices. Our results are divided...
The dynamics of a 2D positive system depends on the pair of nonnegative square matrices that provide...
The dynamics of a 2D positive system depends on the pair of nonnegative square matrices that provide...
AbstractThe dynamics of a 2D positive system depends on the pair of nonnegative square matrices that...
The dynamics of a 2D positive system depends on the pair of nonnegative square matrices thatprovide ...
Two-dimensional (2D) positive systems are 2D state space models whose variables take only nonnegativ...
Pairs of linear transformations on a finite dimensional vector space are of great relevance in the a...
Homogeneous 2D positive systems are 2D state space models whose variables are always nonnegative and...
Homogeneous 2D positive systems are 2D state-space models whose variables are alwalys nonnegative an...
In the paper the definition and main properties of a 2-digraph, i.e. a directed graph with two kinds...
Two-dimensional (2-D) positive systems are 2-D state-space models whose variables take only nonnegat...
Two-dimensional system dynamics depends on matrix pairs that represent the shift operators along coo...
In this paper, (local/global) reachability and ob-servability [2] are introduced in the context of t...
AbstractReachability and observability of two-dimensional (2D) discrete state-space models are intro...
Reachability and observability of two-dimensional (2D) discrete state-space models are introduced in...
We study the combinatorial and algebraic properties of Nonnegative Matrices. Our results are divided...
The dynamics of a 2D positive system depends on the pair of nonnegative square matrices that provide...
The dynamics of a 2D positive system depends on the pair of nonnegative square matrices that provide...
AbstractThe dynamics of a 2D positive system depends on the pair of nonnegative square matrices that...
The dynamics of a 2D positive system depends on the pair of nonnegative square matrices thatprovide ...
Two-dimensional (2D) positive systems are 2D state space models whose variables take only nonnegativ...
Pairs of linear transformations on a finite dimensional vector space are of great relevance in the a...
Homogeneous 2D positive systems are 2D state space models whose variables are always nonnegative and...
Homogeneous 2D positive systems are 2D state-space models whose variables are alwalys nonnegative an...
In the paper the definition and main properties of a 2-digraph, i.e. a directed graph with two kinds...
Two-dimensional (2-D) positive systems are 2-D state-space models whose variables take only nonnegat...
Two-dimensional system dynamics depends on matrix pairs that represent the shift operators along coo...
In this paper, (local/global) reachability and ob-servability [2] are introduced in the context of t...
AbstractReachability and observability of two-dimensional (2D) discrete state-space models are intro...
Reachability and observability of two-dimensional (2D) discrete state-space models are introduced in...
We study the combinatorial and algebraic properties of Nonnegative Matrices. Our results are divided...