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Khalid Zguaid

Publications and source records attributed to Khalid Zguaid.

2 recordsLinked to original sources

The Regional Boundary Reconstruction Problem of the Initial State for Fractional Semilinear Systems

Observability is a fundamental concept in control theory. Its primary purpose is to look into whether it is possible to reconstruct the system's initial state using only the information from its outputs. This paper focuses on the regional reconstruction problem of the initial state for a semilinear time-fractional system, which refers to the possibility of recovering the value of the initial state on a desired boundary sub-region instead of the whole evolution domain or its boundary. To achieve this objective, we use the analytical method, where we suppose that the system's dynamic generates an analytic semigroup. First, by establishing an internal sub-region, we establish a connection between the concepts of regional observability and regional boundary observability; we will later explain how to define the internal sub-region. Then, by imposing suitable assumptions on the analytic semigroup and the system's non-linearity, we give the main theorems of this research from which we deduce a sequence that converges to the unknown initial state on the desired boundary sub-region. Moreover, we present an algorithm that produces some numerical simulations which align closely with our theoretical findings.

math.OC

Regional Gradient Observability for Fractional Differential Equations with Caputo Time-Fractional Derivatives

We investigate the regional gradient observability of fractional sub-diffusion equations involving the Caputo derivative. The problem consists of describing a method to find and recover the initial gradient vector in the desired region, which is contained in the spacial domain. After giving necessary notions and definitions, we prove some useful characterizations for exact and approximate regional gradient observability. An example of a fractional system that is not (globally) gradient observable but it is regionally gradient observable is given, showing the importance of regional analysis. Our characterization of the notion of regional gradient observability is given for two types of strategic sensors. The recovery of the initial gradient is carried out using an expansion of the Hilbert Uniqueness Method. Two illustrative examples are given to show the application of the developed approach. The numerical simulations confirm that the proposed algorithm is effective in terms of the reconstruction error.

math.OC