Abstract Resistance spot welding (RSW) is considered a preferred technique for joining metal parts in various industries, mainly its efficiency and cost-effectiveness. The mechanical properties of welds are pivotal ensuring structural integrity overall assembly performance. In this work, the quality attributes resistance welding, such as both nugget corona bond sizes, assessed by analyzing thermal behavior joint using physical information neural network (PINN). Starting from signal phase...

Abstract This work focuses on porosity formation during the welding of dissimilar aluminium alloys (cast and sheet) by pulsed gas metal arc (GMAW) with different travel speeds (12–14 mm/s) friction stir (FSW). The case study concerns assembling a battery-pack enclosure prototype. welded specimens were scanned 3D X-ray computed tomography. cast base material (BM) shows percentage 1.45%, it is characterized pores strong hyperbolic relationship between equivalent diameter sphericity....

This paper investigates the use of a controlled tethered wing, or kite, for naval transportation. Linked to boat by light composite-fiber lines, kite is able fly between 200 and 600 m above sea generate high traction forces. A mechatronic system named Kite Steering Unit (KSU) that installed on controls converts line speed force into electricity. Different from previous works, also equipped with electric propellers so propulsion can be achieved both directly, i.e., through towing forces...

This paper investigates the application of an innovative technology for high-altitude wind power generation to naval propulsion. The basic idea is exploit traction forces exerted by automatically controlled kites, flying fast in crosswind conditions, pull a boat. Numerical analyses are carried out employing mathematical model system and efficient Nonlinear Model Predictive Control (NMPC) law. Differently from existing approaches, cost function considered NMPC design directly predicted force...

Performance and functionality are two key factors in designing advanced components. One promising approach manufacturing design is the fabrication of multi-material structures by joining dissimilar materials. Steels, known for their outstanding properties cost-effective production, widely used across several industries. However, high density presents challenges when lightweight A solution lies combining steels with lightweight, non-ferrous alloys to develop parts. different materials...

Abstract This article addresses the parametric identification of block‐structured nonlinear systems in a general form, characterized by feedback interconnection multivariable linear system and static multivariate map. We assume that both input output collected data are affected bounded noise, which casts problem context set‐membership (SM) errors‐in‐variables identification. introduce single‐stage SM algorithm for computation parameter uncertainty intervals. The proposed solution exploits...

An approach for automated driving in highway scenarios the context of a two levels hierarchical architecture is proposed. In particular, we define suitable artificial potential functions (APF) combinations that can effectively handle most relevant maneuvers driving, such as speed and distance tracking, lane keeping, overtaking returning. Parameters APF are dynamically tuned according to acquired scenario. The defined included cost function Model Predictive Control (MPC) control problem...

A Nonlinear Model Predictive Control (NMPC) approach to improve vehicle yaw stability and handling by means of a rear active differential is introduced. In particular, the use NMPC adopted show its effectiveness in control context. However, application for automotive limited required computational load, which often incompatible with employed sampling time. order allow on-line implementation designed predictive law, an efficient technique based on Set Membership approximation methodologies...

In this paper we propose a novel approach for set-membership identification of Wiener models when the static output map is polynomial nonlinearity which, in general, not assumed to be invertible. Two different estimators are considered paper. A setvalued estimator computation so-called parameter uncertainty intervals and pointwise aimed at minimization error between estimated system measured one (output minimization). unified based on formulation suitable semialgebraic optimization problem...

The application to marine transportation of an innovative technology for high-altitude wind power generation is presented in this paper. key idea pull a boat and generate electricity onboard by exploiting the traction forces generated automatically controlled tethered kites. kites are able fly fast crosswind conditions, between 200 m 600 above sea, thus stronger less variable winds. Numerical analyses carried out, using mathematical model system efficient Nonlinear Model Predictive Control...

This project aims to implement a Remote European Asian Lab, an Automatic Control remote laboratory, in the joint academic cooperation framework between two universities located Europe and Central Asia. Emphasis is given inclusive solution of shared teaching facility its learning achievements into bachelor course (Uzbekistan) master (Italy) foresee better education quality. The different cultural social contexts allow (a) evaluation effect obtained by introducing laboratory experience...

In this paper we consider the problem of set-membership identification multiple-inputs multiple-outputs (MIMO) linear models when both input and output measurements are affected by bounded additive noise. First a general formulation is proposed which allows user to take into account possible a-priori information about structure MIMO model be identified. Then, formulated in terms suitable polynomial optimization problem, solved means convex relaxation approach. A simulation example presented...