Research
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A novel sustainable approach of reinforcement learning control for a water-energy-food microgrid
Abstract
In microgrids, Water-Energy-Food Nexus refers to the interconnected relationships between food production, energy systems, and water resources. Thus, modelling these interdependencies is important for reaching a proper management system...
Publication · June 23, 2026
A Robust Predictive Control Strategy for Building HVAC Systems Based on Interval Fuzzy Models
Abstract
A Robust MPC strategy for Heating, Ventilation and Air Conditioning Systems (HVAC) is proposed in this work. The typical control objective of minimizing energy consumption while maintaining user comfort is considered in this work. Robus...
Publication · June 23, 2026
Robust Model-based Predictive Control for a Cooperative Cycling Cyber-physical System
Abstract
Thanks to the massive adoption of bicycles in many countries, congestion issues over the cycling infrastructure are becoming common. When the congestion occurs, the natural formation of platoons brings benefits in terms of efficient use...
Publication · June 23, 2026
Fuzzy Interval Modelling based on Joint Supervision
Abstract
This paper presents a new methodology for Prediction Interval (PI) construction based on a modified Takagi-Sugeno fuzzy system trained with a joint Supervision loss function. Given a desired coverage level, this model is capable of prov...
Publication · June 23, 2026
Predictive Control based on Fuzzy Optimization for Multi-Room HVAC Systems
Abstract
A model predictive control strategy (MPC) based on fuzzy optimization is proposed in this work for a multi-room heating, ventilation and air conditioning (HVAC) system. The proposed strategy aims to minimize energy consumption, while re...
Publication · June 23, 2026
Review on Fuzzy and Neural Prediction Interval Modelling for Nonlinear Dynamical Systems
Abstract
The existing uncertainties during the operation of processes could strongly affect the performance of forecasting systems, control strategies and fault detection systems when they are not considered in the design. Because of that, the s...
Publication · June 23, 2026
Fuzzy and Neural Prediction Intervals for Robust Control of a Greenhouse
Abstract
A robust model predictive control strategy based on fuzzy and neural prediction intervals is proposed to implement a greenhouse’s water and energy management system. The implementation of this model predictive control aims to optimize t...
Publication · June 23, 2026
Evolving fuzzy prediction interval for fault detection in a heat exchanger
Publication · June 23, 2026
Robust Energy-Water Management System with Prediction Interval Based on Deep Learning
Abstract
Water resources have a vital role in maintaining crops' survival in agricultural activities. Still, this resource's availability is limited and strongly affected by the climatic conditions of the area where the crops are located. Becaus...
Publication · June 23, 2026
Evolving Fuzzy Prediction Intervals in Nonstationary Environments
Abstract
This work aims at designing a novel evolving fuzzy prediction interval able to model nonlinear time-variant systems. To achieve this goal, we integrate a passive mechanism meant to update the model when new data are available with an ac...
Publication · June 23, 2026
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