Distributed Model Predictive Control with Reconfigurable Terminal Ingredients for Reference Tracking

Various efforts have been devoted to developing stabilizing distributed Model Predictive Control (MPC) schemes for tracking piecewise constant references. In these schemes, terminal sets are usually computed offline and used in the MPC online phase to guarantee recursive feasibility and asymptotic stability. Maximal invariant terminal sets do not necessarily respect the distributed structure of the network, hindering the distributed implementation of the controller. On the other hand, ellipsoidal terminal sets respect the distributed structure, but may lead to conservative schemes. In this paper, a novel distributed MPC scheme is proposed for reference tracking of networked dynamical systems where the terminal ingredients are reconfigured online depending on the closed-loop states to alleviate the aforementioned issues. The resulting non-convex infinite-dimensional problem is approximated using a quadratic program. The proposed scheme is tested in simulation where the proposed MPC problem is solved using distributed optimization

Intra-thoracic desmoid tumour in a patient with a previous aortocoronary bypass

BACKGROUND: Intra-thoracic desmoid tumours with mediastinal invasion are very rare. Although rare they have to be taken into account in the differential diagnosis of a thoracic mass and therapeutic options have to be weighted since surgical treatment may require wide excision. CASE PRESENTATION: A 48-year-old male diabetic, dyslipidaemic, former heavy smoker with psychiatric illness was operated by sternotomy for a triple aorto-coronary bypass 4 years before, presented with complains of recent onset such as constant and oppressive chest pain. At surgery a mass extending from the aortic arch into the entire anterior mediastinum and to most of the right pleural cavity was found. The mass was separated from sternal periosteum and vessels of aorto-coronary by pass were isolated starting from the aortic arch up to the pericardium. The histological examination revealed aggressive fibromatosis. CONCLUSION: Although technically demanding, radical surgical excision is actually the most indicated therapeutic approach for intra-thoracic desmoid tumours

Therapeutic strategies to prevent the recurrence of nasal polyps after surgical treatment: an update and in vitro study on growth inhibition of fibroblasts

Chronic rhinosinusitis with nasal polyps (CRSwNP) is the most bothersome phenotype of chronic rhinosinusitis, which is typically characterized by a Type 2 inflammatory reaction, comorbidities and high rates of nasal polyp recurrence, causing severe impact on quality of life. Nasal polyp recurrence rates, defined as the number of patients undergoing revision endoscopic sinus surgery, are 20% within a 5 year period after surgery. The cornerstone of CRSwNP management consists of anti-inflammatory treatment with local corticosteroids. We performed a literature review regarding the therapeutic strategies used to prevent nasal polyp recurrence after surgical treatment. Finally, we report an in vitro study evaluating the efficacy of lysine-acetylsalicylic acid and other non-steroidal anti-inflammatory drugs (ketoprofen and diclofenac) on the proliferation of fibroblasts, obtained from nasal polyp tissue samples. Our study demonstrates that diclofenac, even more so than lysine-acetylsalicylic acid, significantly inhibits fibroblast proliferation and could be considered a valid therapeutic strategy in preventing CRSwNP recurrence

Physics-Informed Neural Network based Model Predictive Control for Constrained Stochastic Systems

Data-driven methods in control have become more and more popular in recent years. Learning a dynamical system from data provides clear advantages when low-order models of the systems are not sufficient for control performances, or when parts of the dynamics are too complex to be modelled. In particular, neural networks are a flexible and powerful tool to learn unknown functions from data, and their usage in the field of indirect data-driven control (where data is used to learn an explicit model of the system) is of central interest. Although physical knowledge is not required in data-driven schemes, having an intuition of the physical laws governing the system is often possible. Hence, in this thesis we exploit physics-informed neural networks (PINNs) to identify accurate and physically-consistent models of nonlinear dynamical systems. It turns out that PINNs have high prediction accuracy also in the case where partial physical information is known. Thus, to motivate the usage of PINNs in the context of indirect data-driven control, we formulate a stochastic nonlinear model predictive control scheme with stability and feasibility guarantees, with a particular focus on neural network models. Finally, we provide simulations and comparisons on various benchmark examples

Aggiornamento al Commento degli artt. 2808-2826 c.c. (Titolo III, Capo IV, Delle ipoteche: Disposizioni generali; Dell'ipoteca legale; Dell'ipoteca giudiziale; Dell'ipoteca volontaria)

Commento degli artt. 2808-2826 c.c. (Titolo III, Capo IV, Delle ipoteche: Disposizioni generali; Dell'ipoteca legale; Dell'ipoteca giudiziale; Dell'ipoteca volontaria

Art. 436 c.c. Obbligo tra adottante e adottato (Alimenti - Libro Primo: Persone e famiglia art. 433-448 bis)

Aliment

Aggiornamento al Commento degli artt. 2745-2783 bis c.c. (Titolo II, Capo II, Dei privilegi)

Commento degli artt. 2745-2783 bis c.c. (Titolo II, Capo II, Dei privilegi

Aggiornamento al Commento degli artt. 1230-1259 c.c. (Titolo I, Capo IV, Dei modi di estinzione diversi dall'adempimento: Della novazione; Della remissione; Della compensazione; Della confusione; Dell'impossibilit\ue0 sopravvenuta per causa non imputabile al debitore)

Commento degli artt. 1230-1259 c.c. (Titolo I, Capo IV, Dei modi di estinzione diversi dall'adempimento: Della novazione; Della remissione; Della compensazione; Della confusione; Dell'impossibilit\ue0 sopravvenuta per causa non imputabile al debitore

Art. 434 c.c. Cessazione dell'obbligo tra affini (Alimenti - Libro Primo: Persone e famiglia art. 433-448 bis)

Disciplina degli aliment

F. Ruscello - Aggiornamento - Istituzioni di diritto civile

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