Articles - Engineering
Recent Submissions
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Battery aging-aware adaptive model predictive control based on coupled semi-empirical electro-thermal and aging models
(Elsevier, 2025)This paper presents an aging-rate aware nonlinear model predictive control (MPC) strategy for battery energy storage systems, integrating a semi-empirical, experimentally validated electro-thermal and degradation model to ... -
Sustainable Business Models for Renewable Energy Communities: A Comprehensive Framework
(Springer, 2026)The “Clean Energy for All Europeans” legislative framework introduced the concept of Renewable Energy Communities (RECs) to empower citizens by granting them greater decision-making authority and control over their energy ... -
Fatigue life estimation of cast aluminium alloys considering the effect of porosity on initiation and propagation phases
(Elsevier, 2019)Porosity is one of the main parameters in the fatigue life of cast alloys as it affects both crack initiation and propagation phases. However, most fatigue assessments present a lack of accuracy as they only consider the ... -
A coupled crack initiation and propagation numerical procedure for combined fretting wear and fretting fatigue lifetime assessment
(Elsevier, 2019)This work presents a numerical procedure for combined fretting wear and fretting fatigue problems. It combines the Archard wear model and the Smith-Watson-Topper fatigue indicator parameter with the Miner damage rule for ... -
Automatic Generation of Test System Instances for Configurable Cyber-Physical Systems
(Springer Nature, 2017)Cyber-physical systems (CPSs) are ubiquitous systems that integrate digital technologies with physical processes. These systems are becoming configurable to respond to the different needs that users demand. As a consequence, ... -
Torque-based methodology and experimental implementation for industrial robot standby pose optimization
(Springer Nature, 2020)This manuscript reports on a novel methodology and experimental implementation for industrial robot standby pose optimization. First, we analyze the influence of the standby pose of robots in the reduction of their useful ... -
Step-time measurement: A scalable sub-cycle time defining methodology for anomaly detection and predictive maintenance in sequential production lines
(Elsevier, 2025)Sub-cycle time periods from machines in production lines offer valuable insights into component-level health. They enable data-driven condition monitoring without the need for additional sensors. However, the lack of a ... -
Search-Based test case prioritization for simulation-Based testing of cyber-Physical system product lines
(Elsevier, 2019)Context: In many domains, engineers build simulation models (e.g., Simulink) before developing code to simulate the behavior of complex systems (e.g., Cyber-Physical Systems). Those models are commonly heavy to simulate ... -
Pareto efficient multi-objective black-box test case selection for simulation-based testing
(Elsevier, 2019)Context: In many domains, engineers build simulation models (e.g., Simulink) before developing code to simulate the behavior of complex systems (e.g., Cyber-Physical Systems). Those models are commonly heavy to simulate ... -
Replica-Based Moving Target Defense Against Injection Attacks in Software-Defined Industrial Control Systems
(IEEE, 2026)Recent incidents have demonstrated the increasing vulnerability of Industrial Control Systems (ICSs) to sophisticated and targeted attacks orchestrated by adversaries with high motivation, resources, and domain knowledge. ... -
Explainable and Evaluative Artificial Intelligence: Alternatives to Ensure Equity in Decision-Making
(Instituto Politecnico Nacional, 2026)Explainable Artificial Intelligence (XAI) and Evaluative Artificial Intelligence (EAI) are crucial approaches to ensuring fairness in decision-making. XAI refers to the ability of Artificial Intelligence (AI) systems to ... -
Reinforcement learning-based controlled switching approach for inrush current minimization in power transformers
(Elsevier, 2026)Transformers are essential components for the reliable operation of the power grid and the connection of renewable energy sources (RES) to them. The transformer core is constituted by a ferromagnetic material and depending ... -
Computational Intelligence for Sustainable Glass Manufacturing: A Data-Driven Approach for Energy Efficient Conditioning
(John Wiley and Sons Ltd, 2026)In the glass container manufacturing process, conditioning is a key stage that contributes to energy consumption. The main objective of conditioning is to cool the glass exiting the furnace to a suitable temperature for ... -
Techno-economic assessment of centralized and decentralized energy management strategies for energy sharing in collective self-consumption schemes
(Elsevier, 2026)The increasing deployment of individual and collective self-consumption systems is reshaping Energy Management Systems (EMSs) under evolving regulatory frameworks. This paper presents a techno-economic comparison between ... -
Characterisation and modelling of prestrained viscoelastic films
(Elsevier, 2014) -
Battery aging-aware adaptive model predictive control based on coupled semi-empirical electro-thermal and aging models
(Elsevier, 2025)This paper presents an aging-rate aware nonlinear model predictive control (MPC) strategy for battery energy storage systems, integrating a semi-empirical, experimentally validated electro-thermal and degradation model to ...
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