Nicholas Baraghini

Develop a complete mathematical model of a shape memory alloy (SMA) wire actuated by an electric current and a bias spring. The operation of the SMA actuator involves different physical phenomena, such as heat transfer, phase transformation with temperature hysteresis, stress–strain variations and electrical resistance variation accompanying the phase transformation. We model each of these phenomena in a modular fashion.

Muscle Functioning Modeling: After a deep study of the most relevant models, it has been chosen to develop two prototypes. The first one, called Evaluation model, was developed to understand better the phenomena of muscle force production in Isometric conditions; This prototype is designed to emulate muscle response in a simplified way, neglecting effects such as yielding, and fiber recruitment. The second model, defined as Control model, has been developed as a linear product of two nonlinear components. The particular structure of the Control model was conceived to use this prototype for the design of the controller through particular control techniques that require a linear and simple model.

Design the logic circuit of the PONG game (ATARI 1972) in Simulink MATLAB

The project consists in two main tasks. The first concerns a data analytics application while the second deals with control for cyber-physical systems. Task 1: Distributed Classification via Neural Networks Task 2: Formation Control

Model and Control in Simulink of a DC-motor

No description provided.

LAB sessions of the Master Course Machine Learning For Computer Vision

Design of a Differential dynamic programming (DDP) algorithm for the optimal control of a Ball and Beam system

Assignments of the Basics of Machine Learning course

Propose an aplication with a certain number of tasks;

Sequential Function Chart (SFC) algorithm design for the design of the Logic Control of a Washing Machine

Cereal box identification in store shelves using computer vision and a single train image per model.