Antonio Ferramosca
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View article: Emotional design engineering for packaging of olive oil using machine learning techniques
Emotional design engineering for packaging of olive oil using machine learning techniques Open
Consumer behaviour, and therefore purchase intentions, are affected by the visual elements of packaging. This is particularly important for products in the agri-food sector, especially for olive oil. In this work, the perception of differe…
View article: Partially cooperative robust distributed model predictive control for tracking
Partially cooperative robust distributed model predictive control for tracking Open
View article: Robust tracking MPC for perturbed nonlinear systems -- Extended version
Robust tracking MPC for perturbed nonlinear systems -- Extended version Open
This paper presents a novel robust predictive controller for constrained nonlinear systems that is able to track piece-wise constant setpoint signals. The tracking model predictive controller presented in this paper extends the nonlinear M…
View article: Infinity-norm-based Input-to-State-Stable Long Short-Term Memory networks: a thermal systems perspective
Infinity-norm-based Input-to-State-Stable Long Short-Term Memory networks: a thermal systems perspective Open
Recurrent Neural Networks (RNNs) have shown remarkable performances in system identification, particularly in nonlinear dynamical systems such as thermal processes. However, stability remains a critical challenge in practical applications:…
View article: Optimizing industrial oven temperature uniformity: A model predictive control framework with rapid control prototyping
Optimizing industrial oven temperature uniformity: A model predictive control framework with rapid control prototyping Open
View article: Artificial Intelligence tool for prediction of ECM mimics hydrogel formulations via click chemistry
Artificial Intelligence tool for prediction of ECM mimics hydrogel formulations via click chemistry Open
A user-friendly machine learning (ML) predictive tool is reported for designing extracellular matrix (ECM)-mimetic hydrogels with tailored rheological properties. Developed for regenerative medicine and 3D bioprinting, the model leverages …
View article: Robust contractive model predictive control based on Gaussian Processes
Robust contractive model predictive control based on Gaussian Processes Open
View article: Use of artificial intelligence techniques in characterization of vibration signals for application in agri-food engineering
Use of artificial intelligence techniques in characterization of vibration signals for application in agri-food engineering Open
Bottling machinery is a critical component in agri-food industries, where maintaining operational efficiency is key to ensuring productivity and minimizing economic losses. Early detection of faulty conditions in this equipment can signifi…
View article: Robust contraction-based model predictive control for nonlinear systems
Robust contraction-based model predictive control for nonlinear systems Open
Model Predictive Control (MPC) is a widely known control method that has proved to be particularly effective in multivariable and constrained control. Closed-loop stability and recursive feasibility can be guaranteed by employing accurate …
View article: Hybrid Modeling of the Insulin-Glucose System: Combining Linear and Data-Driven Models for Artificial Pancreas
Hybrid Modeling of the Insulin-Glucose System: Combining Linear and Data-Driven Models for Artificial Pancreas Open
View article: Meta-Learning in Biologically-Informed Recurrent Neural Networks for Personalized System Identification of Glucose-Insulin Dynamics
Meta-Learning in Biologically-Informed Recurrent Neural Networks for Personalized System Identification of Glucose-Insulin Dynamics Open
View article: Optimizing Industrial Oven Temperature Uniformity: A Model Predictive Control Framework with Rapid Control Prototyping
Optimizing Industrial Oven Temperature Uniformity: A Model Predictive Control Framework with Rapid Control Prototyping Open
View article: Integrating Biological-Informed Recurrent Neural Networks for Glucose-Insulin Dynamics Modeling
Integrating Biological-Informed Recurrent Neural Networks for Glucose-Insulin Dynamics Modeling Open
View article: CHoKI-based MPC for blood glucose regulation in Artificial Pancreas
CHoKI-based MPC for blood glucose regulation in Artificial Pancreas Open
View article: Learning-Based Economic Model Predictive Control with Probabilistic Verification Using Scenario Approach
Learning-Based Economic Model Predictive Control with Probabilistic Verification Using Scenario Approach Open
View article: Knowledge-Guided Recurrent Neural Networks for Glucose-Insulin Dynamics Modeling
Knowledge-Guided Recurrent Neural Networks for Glucose-Insulin Dynamics Modeling Open
View article: Comparison of the night-time effectiveness in achieving glycemic targets in adults with type 1 diabetes of three advanced hybryd closed-loop systems
Comparison of the night-time effectiveness in achieving glycemic targets in adults with type 1 diabetes of three advanced hybryd closed-loop systems Open
View article: Artificial Neural Networks for Energy Demand Prediction in an Economic MPC‐Based Energy Management System
Artificial Neural Networks for Energy Demand Prediction in an Economic MPC‐Based Energy Management System Open
Microgrids are a development trend and have attracted a lot of attention worldwide. The control system plays a crucial role in implementing these systems and, due to their complexity, artificial intelligence techniques represent some enabl…
View article: Model predictive control for tracking using artificial references: Fundamentals, recent results and practical implementation
Model predictive control for tracking using artificial references: Fundamentals, recent results and practical implementation Open
This paper provides a comprehensive tutorial on a family of Model Predictive Control (MPC) formulations, known as MPC for tracking, which are characterized by including an artificial reference as part of the decision variables in the optim…
View article: Artificial neural networks for energy demand prediction in an economic MPC-based energy management system
Artificial neural networks for energy demand prediction in an economic MPC-based energy management system Open
Microgrids are a development trend and have attracted a lot of attention worldwide. The control system plays a crucial role in implementing these systems and, due to their complexity, artificial intelligence techniques represent some enabl…
View article: Model Predictive Control for setpoint tracking
Model Predictive Control for setpoint tracking Open
The main objective of tracking control is to steer the tracking error, that is the difference between the reference and the output, to zero while the plant's operation limits are satisfied. This requires that some assumptions on the evolut…
View article: CHoKI-based MPC for blood glucose regulation in Artificial Pancreas
CHoKI-based MPC for blood glucose regulation in Artificial Pancreas Open
This work presents a Model Predictive Control (MPC) for the artificial pancreas, which is able to autonomously manage basal insulin injections in type 1 diabetic patients. Specifically, the MPC goal is to maintain the patients' blood gluco…
View article: On the Stability of a Nonlinear MPC Scheme for Avoidance
On the Stability of a Nonlinear MPC Scheme for Avoidance Open
View article: Continuous-time identification of grey-box and black-box models of an industrial oven
Continuous-time identification of grey-box and black-box models of an industrial oven Open
View article: An explicit expression of the steady-state error in Smith Predictor applied to linear systems with integral action
An explicit expression of the steady-state error in Smith Predictor applied to linear systems with integral action Open
View article: The Role of Kano Model in Revealing the Most Significant Physicochemical Properties of Wines
The Role of Kano Model in Revealing the Most Significant Physicochemical Properties of Wines Open
In this article a methodology, based on the Kano model, to prioritize the features of a product or service is proposed. Instead of using detailed, lengthy, burdensome, time-demanding, and biased-prone questionnaires, enquiring the user sat…
View article: Optimizing Industrial Oven Temperature Uniformity: A Model Predictive Control Framework with Rapid Control Prototyping
Optimizing Industrial Oven Temperature Uniformity: A Model Predictive Control Framework with Rapid Control Prototyping Open
View article: Model-based design of the temperature controller of a shrink tunnel
Model-based design of the temperature controller of a shrink tunnel Open
View article: Insulin on Board safety constraint effect in a CHoKI-based MPC for Artificial Pancreas
Insulin on Board safety constraint effect in a CHoKI-based MPC for Artificial Pancreas Open
View article: Use of Artificial Intelligence Techniques in Characterization of Vibration Signals for Application in Agri-Food Engineering
Use of Artificial Intelligence Techniques in Characterization of Vibration Signals for Application in Agri-Food Engineering Open