AbstractReachability and observability of two-dimensional (2D) discrete state-space models are introduced in two different forms: a local form, which refers to single local states, and a global form, which pertains to the infinite set of local states lying on a separation set [M. Bisiacco, State and output feedback stabilizability of 2D systems, IEEE Trans. Circ. Syst., CAS-32 (1985) 1246–1249; E. Fornasini, G. Marchesini, Global properties and duality in 2-D systems, Syst. Control Lett. 2 (1) (1982) 30–38]. While local reachability and observability can be naturally characterized by resorting to classical state space techniques, their global counterparts are better addressed by means of polynomial techniques. In this paper, reachability an...
Two-dimensional state-space systems arise in applications such as image processing, iterative circui...
Necessary and sufficient conditions are formulated for checking stability of a 2-D polynomial matrix...
In the recent years many researchers were interested in positive two-dimensional (2D) linear systems...
Reachability and observability of two-dimensional (2D) discrete state-space models are introduced in...
Reachability and observability of two-dimensional (2D) discrete state-space models are introduced in...
AbstractReachability and observability of two-dimensional (2D) discrete state-space models are intro...
When dealing with two-dimensional (2D) discrete state-space models, reachability, controllability a...
When dealing with two-dimensional (2D) discrete state-space models, reachability and observability a...
Abstract—When dealing with two-dimensional (2-D) discrete state-space models, controllability proper...
The paper stresses the relevance of polynomial matrices in three differ-ent approaches to the analys...
Two-dimensional (2D) positive systems are 2D state space models whose variables take only nonnegativ...
Abstract. Two-dimensional (2D) positive systems are 2D state-space models whose state, input and out...
AbstractThe dynamics of a 2D positive system depends on the pair of nonnegative square matrices that...
AbstractThe possibilities of modifying the dynamical behavior of 2D state-space models by output fee...
The dynamics of a 2D positive system depends on the pair of nonnegative square matrices that provide...
Two-dimensional state-space systems arise in applications such as image processing, iterative circui...
Necessary and sufficient conditions are formulated for checking stability of a 2-D polynomial matrix...
In the recent years many researchers were interested in positive two-dimensional (2D) linear systems...
Reachability and observability of two-dimensional (2D) discrete state-space models are introduced in...
Reachability and observability of two-dimensional (2D) discrete state-space models are introduced in...
AbstractReachability and observability of two-dimensional (2D) discrete state-space models are intro...
When dealing with two-dimensional (2D) discrete state-space models, reachability, controllability a...
When dealing with two-dimensional (2D) discrete state-space models, reachability and observability a...
Abstract—When dealing with two-dimensional (2-D) discrete state-space models, controllability proper...
The paper stresses the relevance of polynomial matrices in three differ-ent approaches to the analys...
Two-dimensional (2D) positive systems are 2D state space models whose variables take only nonnegativ...
Abstract. Two-dimensional (2D) positive systems are 2D state-space models whose state, input and out...
AbstractThe dynamics of a 2D positive system depends on the pair of nonnegative square matrices that...
AbstractThe possibilities of modifying the dynamical behavior of 2D state-space models by output fee...
The dynamics of a 2D positive system depends on the pair of nonnegative square matrices that provide...
Two-dimensional state-space systems arise in applications such as image processing, iterative circui...
Necessary and sufficient conditions are formulated for checking stability of a 2-D polynomial matrix...
In the recent years many researchers were interested in positive two-dimensional (2D) linear systems...