State observers for systems having Lipschitz nonlinearities are considered for what concerns the stability of the estimation error by means of a decomposition of the dynamics of the error into the cascade of two systems. First, conditions are established in order to guarantee the asymptotic stability of the estimation error in a noise-free...
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2020 (v1)PublicationUploaded on: March 27, 2023
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2019 (v1)Publication
Air-lift reactors offer an interesting option as a microalgae cultivation system, especially for biorefineries. To optimize this application, a precise description of the moving interfaces formed by the liquid and gas phase is critical. In this paper, a coupled Level Set Method (LSM) and finite difference method is used to simulate gas bubbles...
Uploaded on: July 4, 2024 -
2019 (v1)Publication
Air-lift reactors offer an interesting option as a microalgae cultivation system, especially for biorefineries. To optimize this application, a precise description of the moving interfaces formed by the liquid and gas phase is critical. In this paper, a coupled Level Set Method (LSM) and finite difference method is used to simulate gas bubbles...
Uploaded on: April 14, 2023 -
2022 (v1)Publication
We focus on the problem of optimally managing a set of unmanned aerial vehicles performing given missions that require to land on an automatic platform, unmount the currently-carried payload, and take off with another payload to complete mission objectives. Such a problem often arises when swarms of drones cooperate to complete monitoring...
Uploaded on: February 4, 2024 -
2022 (v1)Publication
The interaction of the free surface with either lifting and non lifting, submerged, bodies moving beneath it is of primary interest in naval architecture. Indeed, there are many examples of possible applications such as rudders, stabilizer fins, hydrofoils among the others. The hydrodynamic problem of a submerged lifting body moving close to a...
Uploaded on: February 4, 2024 -
2023 (v1)Publication
We present a new concept of industrial vertical greenhouse, called adaptive vertical farm, based on the possibility of adapting the distance between the shelves to the growth of the plants cultivated therein. This is possible through a set of sensors able to measure the crop height and a set of actuators to automatically move the shelves. A...
Uploaded on: July 5, 2024 -
2023 (v1)Publication
A model predictive control approach is presented for the scheduling of sowings in an adaptive vertical farm, i.e., an innovative vertical greenhouse in which the spacing between shelves is automatically adapted to crop growth. First, a dynamic model describing the evolution of occupancy and shelf height is developed. The model is affected by...
Uploaded on: July 4, 2024 -
2021 (v1)Publication
The recent huge technological development of unmanned aerial vehicles (UAVs) can provide breakthrough means of fighting wildland fires. We propose an innovative forest firefighting system based on the use of a swarm of hundreds of UAVs able to generate a continuous flow of extinguishing liquid on the fire front, simulating the effect of rain....
Uploaded on: April 14, 2023 -
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 -
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 -
2019 (v1)Publication
The optimal handling of level sets associated to the solution of Hamilton-Jacobi equations such as the normal flow equation is investigated. The goal is to find the normal velocity minimizing a suitable cost functional that accounts for a desired behavior of level sets over time. Sufficient conditions of optimality are derived that require the...
Uploaded on: April 14, 2023 -
2021 (v1)Publication
This paper establishes some input-to-state stability (ISS) properties w.r.t. in-domain process and measurement disturbances for systems described by a normal flow equation governed by an observer-based control scheme without knowledge of the spatial derivatives of the viscosity solution. The approach used to achieve the "a priori"ISS estimates...
Uploaded on: February 7, 2024 -
2021 (v1)Publication
The availability of wildland fire propagation models with parameters estimated in an accurate way starting from measurements of fire fronts is crucial to predict the evolution of fire and allocate resources for firefighting. Thus, we propose an approach to estimate the parameters of a wildland fire propagation model combining an empirical rate...
Uploaded on: April 14, 2023 -
2020 (v1)Publication
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...
Uploaded on: April 14, 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 -
2020 (v1)Publication
Heat transfer in counterflow heat exchangers is modeled by using transport and balance equations with the temperatures of cold fluid, hot fluid, and metal pipe as state variables distributed along the entire pipe length. Using such models, boundary value problems can be solved to estimate the temperatures over all the length by means of...
Uploaded on: April 14, 2023 -
2024 (v1)Publication
We propose a new approach for the estimation of the velocity field of normal flow partial differential equations by means of practical observers. In more detail, we suppose to know the evolution over time in each point of the domain of the solution of a normal flow equation subject to an unknown velocity field, which is assumed to be smooth but...
Uploaded on: October 26, 2024