This paper deals with the problem of state estimation of dynamic systems with Lipschitz nonlinearities using a new high gain observer design. The aim of this new design procedure is to reduce the value of the tuning parameter and the observer gain compared to the standard high gain observer on the one hand without solving a set of LMIs as in...
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2020 (v1)PublicationUploaded on: April 14, 2023
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2020 (v1)Publication
In this study, the authors develop a new high-gain observer design method for non-linear systems. This new design provides a lower gain compared to both the high-gain and the enhanced high-gain observer. The idea is to combine the improved high-gain methodology with the linear matrix inequality based observer design technique to build a more...
Uploaded on: March 27, 2023 -
2022 (v1)Publication
Epidemiological models play a vital role in under-standing the spread and severity of a pandemic or epidemic caused by an infectious disease in a host population. The mathematical modeling of infectious diseases in the form of compartmental models are often employed in studying the probable outbreak growth. In this paper, we study the problem...
Uploaded on: February 14, 2024 -
2022 (v1)Publication
In this paper, we investigate the problem of state estimation for a simple one-gene regulation dynamic process involving end-product activation to rebuild the non-measured concentrations of mRNA and the involved protein. We syn-thesize a convenient observer structure following the high-gain methodology by combining the observer proposed in [1]...
Uploaded on: February 14, 2024 -
2023 (v1)Publication
Dorsal closure is a morphogenetic process similar to wound healing, whereby a gap in the epithelium is closed through the coordination of the elongation of epidermal cells and contraction of Amnioserosa cells (AS). Throughout the early stages of this process, the AS cells exhibit fluctuations of their apical area which provides an ideal system...
Uploaded on: February 14, 2024 -
2023 (v1)Publication
This letter deals with the investigation of an important property that characterizes the detectability of nonlinear systems, namely the incremental Exponential Input/Output-to-State Stability (i-EIOSS). While such a property is easy to check for linear systems, for nonlinear systems it is a hard task. On the other hand, the i-EIOSS property is...
Uploaded on: July 4, 2024 -
2023 (v1)Publication
The adaptive vertical farm is an innovative solution to increase production yield through adaptive management of available volume. The latest technological advances in data processing and actuators have made UAVs useful in precision agriculture because of their ability to monitor small areas. This paper proposes a H∞ observer design via Linear...
Uploaded on: July 5, 2024 -
2023 (v1)Publication
This note deals with observer design for nonlinear systems via Linear Matrix Inequalities (LMIs). The main goal consists of showing that for some families of nonlinear systems, the LMI-based observer design techniques always provide exponential convergent observer. Indeed, until now, this advantageous feature is unique to some types of...
Uploaded on: July 4, 2024