Add to ORKGThe purpose of this paper is to characterize regional boundary gradient strategic sensors notions for different cases of regional boundary gradient observation to be achieved. Then, the characterizations based on how to a cross from internal gradient region to the boundary gradient region. Thus, the obtained results are applied in two dimensional linear infinite distributed systems in Hilbert space where the dynamics are governed by strongly continuous semi-group. Moreover, we give the relation between the regional gradient observability on a subregion of the spatial domain with the regional boundary gradient observability on a subregion of the boundary of . Finally, sufficient...
The aim of this paper is the introduction of a new concept that concerned the analysis of a large cl...
The aim of this paper is to study the regional observer concept through the consideration of sensors...
With the constant increase in the number of interconnected devices in today networks, more and more ...
In the present paper, the characterizations of regional gradient strategic sensors notions have been...
This paper, deals with the linear infinite dimensional distributed parameter systems in a Hilbert sp...
The aim of this paper is to study regional gradient observability for a diffusion system and the rec...
In this paper we review the concept of regional boundary observability, developed in (Michelitti, 19...
The regional exponential reduced observability concept in the presence for linear dynamical systems ...
This paper deals with the problem of regional observability of hyperbolic systems in the case where ...
The purpose of this paper is to study the concept of asymptotic regional observer in connection with...
The purpose of this paper is to show for parabolic systems how one can achieve a final gradient in a...
The aim of this work is to study the notion of the gradient observability on a subregion ω of the ev...
Abstract The objective of this paper is to develop the question of the constrained observability for...
This paper deals with the problem of regional gradient controllability of hyperbolic systems. We sho...
International audienceThe published literature related to distributed parameter systems theory is qu...
The aim of this paper is the introduction of a new concept that concerned the analysis of a large cl...
The aim of this paper is to study the regional observer concept through the consideration of sensors...
With the constant increase in the number of interconnected devices in today networks, more and more ...
In the present paper, the characterizations of regional gradient strategic sensors notions have been...
This paper, deals with the linear infinite dimensional distributed parameter systems in a Hilbert sp...
The aim of this paper is to study regional gradient observability for a diffusion system and the rec...
In this paper we review the concept of regional boundary observability, developed in (Michelitti, 19...
The regional exponential reduced observability concept in the presence for linear dynamical systems ...
This paper deals with the problem of regional observability of hyperbolic systems in the case where ...
The purpose of this paper is to study the concept of asymptotic regional observer in connection with...
The purpose of this paper is to show for parabolic systems how one can achieve a final gradient in a...
The aim of this work is to study the notion of the gradient observability on a subregion ω of the ev...
Abstract The objective of this paper is to develop the question of the constrained observability for...
This paper deals with the problem of regional gradient controllability of hyperbolic systems. We sho...
International audienceThe published literature related to distributed parameter systems theory is qu...
The aim of this paper is the introduction of a new concept that concerned the analysis of a large cl...
The aim of this paper is to study the regional observer concept through the consideration of sensors...
With the constant increase in the number of interconnected devices in today networks, more and more ...