2014
DOI: 10.1007/978-3-319-06953-1_17
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Functional Output-Controllability of Time-Invariant Singular Linear Systems

Abstract: In the space of finite-dimensional singular linear continuous-time-invariant systems described in the form 1 where , , , functional output-controllability character is considered. A simple test based in the computation of the rank of a certain constant matrix that can be associated to the system is presented.

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Cited by 4 publications
(3 citation statements)
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“…In these recent years, the study of the control of complex networks with linear dynamics has gained importance in both science and engineering. Controllability of a dynamical system has being largely studied by several authors and under many different points of view, (see [1], [2], [3], [5], [8], [12], [15] and [20], for example). Between different aspects in which we can study the controllability we have the notion of structural controllability that has been proposed by Lin [18] as a framework for studying the controllability properties of directed complex networks where the dynamics of the system is governed by a linear system:ẋ(t) = Ax(t) + Bu(t) usually the matrix A of the system is linked to the adjacency matrix of the network, x(t) is a time dependent vector of the state variables of the nodes, u(t) is the vector of input signals, and B which defines how the input signals are connected to the nodes of the network and it is the called input matrix.…”
Section: Introductionmentioning
confidence: 99%
“…In these recent years, the study of the control of complex networks with linear dynamics has gained importance in both science and engineering. Controllability of a dynamical system has being largely studied by several authors and under many different points of view, (see [1], [2], [3], [5], [8], [12], [15] and [20], for example). Between different aspects in which we can study the controllability we have the notion of structural controllability that has been proposed by Lin [18] as a framework for studying the controllability properties of directed complex networks where the dynamics of the system is governed by a linear system:ẋ(t) = Ax(t) + Bu(t) usually the matrix A of the system is linked to the adjacency matrix of the network, x(t) is a time dependent vector of the state variables of the nodes, u(t) is the vector of input signals, and B which defines how the input signals are connected to the nodes of the network and it is the called input matrix.…”
Section: Introductionmentioning
confidence: 99%
“…From these works, there is a considerable body of literature about the construction of convolutional codes using the approach of linear systems. In particular, some authors as [2,3,9,10,27] had exploited this relation for the construction of concatenated convolutional codes and, to deduce control properties.…”
Section: Introductionmentioning
confidence: 99%
“…Output controllability is a property of the impulse response matrix of a linear invariant-time system which reflects the dominant ability of an external input to move the output from any initial condition to any final condition in a finite time [2]. In general, the output controllability means that the system's output can be directed regardless of its state [15]. The necessary and sufficient criterion for output controllability of linear time-invariant systems is addressed in, for example, [12].…”
Section: Introductionmentioning
confidence: 99%