scholarly journals Regional Boundary Strategic Sensors Characterizations

2018 ◽  
Vol 14 (2) ◽  
pp. 7834-7850 ◽  
Author(s):  
Raheam Al-Saphory ◽  
Hind K. Kolaib
Keyword(s):  
Domain Boundary ◽  
Distributed Parameter ◽  
Usual Sense ◽  
Time Interval ◽  
Two Dimensional ◽  
Infinite Time ◽  
Infinite Dimensional ◽  
Infinite Time Interval ◽  
Boundary Observability ◽  
Regional Boundary

This paper, deals with the linear infinite dimensional distributed parameter systems in a Hilbert space where the dynamics of system is governed by strongly continuous semi-groups. More precisely, for parabolic distributed systems the characterizations of regional  boundary strategic sensors have been discussed and analyzed in different cases of regional  boundary observability in infinite time interval. Furthermore, the results so obtained are applied in two-dimensional systems and sensors studied under which conditions guarantee regional boundary observability in a sub-region of the system domain boundary.  Also, the authors show that, the existent of a sensor for the diffusion system is not strategic in the usual sense, but it may be regional  boundary strategic of this system.

scholarly journals Regional Boundary Asymptotic Gradient Full-Order Observer in Distributed Parabolic Systems

2020 ◽  
Vol 18 ◽  
pp. 28-45
Author(s):  
Raheam Al-Saphory ◽  
Zinah A. Khalid
Keyword(s):  
Dynamical System ◽  
Boundary Conditions ◽  
Domain Boundary ◽  
Original System ◽  
Parabolic Systems ◽  
Distributed Parameter ◽  
Usual Sense ◽  
Luenberger Observer ◽  
Different Types ◽  
Regional Boundary

The purpose of this paper is to explore the concept of the regional boundary asymptotic gradient full order observer (RBAGFO-observer) in connection with the characterizations of sensors structures. Then, we present various results related to different types of measurements, domains and boundary conditions for distributed parameter systems (DPSS) in parabolic systems problem.  The considered approach of this work is derived from Luenberger observer theory which is enable to estimate asymptotically the state gradient of the original system on a sub-region of the domain boundary  in order that the RBAGFO-observability notion to be achieved. We also show that there exists a dynamical system for the considered system is not BAGFO-observer in the usual sense, but it may be regional RBAGFO-observer.

scholarly journals Regional Boundary Gradient Detectability in Distributed Parameter Systems

2018 ◽  
Vol 14 (2) ◽  
pp. 7818-7833 ◽  
Author(s):  
Raheam Al Saphory ◽  
Mrooj Al Bayati
Keyword(s):  
Hilbert Space ◽  
Domain Boundary ◽  
Distributed Parameter Systems ◽  
Distributed Parameter ◽  
System State ◽  
Infinite Dimensional ◽  
Infinite Dimensional Systems ◽  
Unknown System ◽  
Regional Boundary ◽  
Boundary Gradient

The aim of this paper is study and explore the notion of  the regional boundary gradient detectability in connection with the choice of strategic gradient sensors on sub-region of the considered system domain boundary. More precisely, the principal reason behind introducing this notion is that the possibility to design a dynamic system (may be called regional boundary gradient observer) which enable to estimate the unknown system state gradient. Then for linear infinite dimensional systems in a Hilbert space,  we give various new results related with different measurements. In addition, we provided a description of the regional boundary exponential gradient strategic sensors for completion the regional boundary exponential gradient observability and regional boundary exponential gradient detectability. Finally, we present and illustrate the some applications of sensors structures which relate by regional boundary exponential gradient detectability in diffusion distributed parameter systems.

On the Interrelation of Two Linear NonStationary Problems with Multiple Evaders

2015 ◽  
Vol 17 (04) ◽  
pp. 1550013 ◽  
Author(s):  
N. N. Petrov ◽  
K. A. Shchelchkov
Keyword(s):  
Finite Time ◽  
Time Interval ◽  
Finite Time Interval ◽  
Infinite Time ◽  
Pursuit Problem ◽  
Infinite Time Interval ◽  
Admissible Controls

A linear nonstationary pursuit problem in which a group of pursuers and a group of evaders are involved is considered under the condition that the group of pursuers includes participants whose admissible controls set coincides with that of the evaders and participants whose admissible controls sets belong to interior of admissible controls set of the evaders. The aim of the group of pursuers is to capture all the evaders. The aim of the group of evaders is to prevent the capture, that is, to allow at least one of the evaders to avoid the rendezvous. It is shown that, if in the game in which all the participants have equal capabilities at least one of the evaders avoids the rendezvous on an infinite time interval, then as a result of the addition of any number of pursuers with less capabilities, at least one of the evaders will avoid the rendezvous on any finite time interval.

On the Placement of Active Bars and Optimal Feedback Gain in Random Adaptive Structures for Vibration Suppression

2005 ◽  
Author(s):  
F. Yang ◽  
R. Sedaghati ◽  
D. Younesian ◽  
E. Esmailzadeh
Keyword(s):  
Optimization Technique ◽  
Optimal Placement ◽  
Feedback Gain ◽  
Time Interval ◽  
Infinite Time ◽  
Random Load ◽  
Adaptive Structures ◽  
Optimal Velocity ◽  
Optimal Feedback ◽  
Infinite Time Interval

This paper addresses active vibration control of adaptive structures using piezoelectric active structural elements with built-in sensing and actuation function. Optimal placement and feedback gain of these active members are important issues, which are discussed in this study. An efficient optimal placement strategy has been developed using minimum control energy dissipating over infinite time interval. Optimal location of active members has been found through minimization of total control energy dissipating over infinite time interval using Simulated Annealing (SA) algorithm. Moreover, the effect of structural randomness and random load in optimal feedback gain has been investigated. To accomplish this, a mathematical model with reliability constraints on the stress and displacement is developed and the optimal velocity feedback gain of active members, using probabilistic optimization technique, is obtained. Illustrative examples are presented to demonstrate the effectiveness of this methodology. It is shown that deterministic approach can not provide reliable optimum design values.

scholarly journals Generalized Memory: Fractional Calculus Approach

2018 ◽  
Vol 2 (4) ◽  
pp. 23 ◽  
Author(s):  
Vasily E. Tarasov
Keyword(s):  
Differential Equations ◽  
Fractional Calculus ◽  
Power Law ◽  
Memory Function ◽  
Time Interval ◽  
Infinite Time ◽  
Suggested Approach ◽  
Infinite Time Interval ◽  
History Of ◽  
With Memory

The memory means an existence of output (response, endogenous variable) at the present time that depends on the history of the change of the input (impact, exogenous variable) on a finite (or infinite) time interval. The memory can be described by the function that is called the memory function, which is a kernel of the integro-differential operator. The main purpose of the paper is to answer the question of the possibility of using the fractional calculus, when the memory function does not have a power-law form. Using the generalized Taylor series in the Trujillo-Rivero-Bonilla (TRB) form for the memory function, we represent the integro-differential equations with memory functions by fractional integral and differential equations with derivatives and integrals of non-integer orders. This allows us to describe general economic dynamics with memory by the methods of fractional calculus. We prove that equation of the generalized accelerator with the TRB memory function can be represented by as a composition of actions of the accelerator with simplest power-law memory and the multi-parametric power-law multiplier. As an example of application of the suggested approach, we consider a generalization of the Harrod-Domar growth model with continuous time.

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