Isidro Calvo

Prof.

University of the Basque Country

Spain

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About

Isidro Calvo is a Professor at the University of the Basque Country (UPV/EHU) in Spain. His research areas include artificial intelligence applications in energy management, control systems, and IoT architectures, as evidenced by his recent publications on fuel cell vehicles, piezoelectric actuators, and smart building security mechanisms. He is actively engaged in advancing technologies related to MPPT control systems and structural testing within aerospace applications.

Articles (20)

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2025

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2021

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2021

Collaborators (4)

Pablo Fernández-Bustamante

University of the Basque Country (UPV/EHU). Faculty of Engineering

SPAIN

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Oscar Barambones

Full Professor

University of the Basque Country

SPAIN

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Imanol Martin

University of the Basque Country

SPAIN

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Jokin Uralde

SPAIN

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Isidro Calvo

Research Interests

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About

Articles (20)

Neural network approach for the energy management and gear selection of a fuel cell electric vehicle

Revision and Comparative Study with Experimental Validation of Sliding Mode Control Approaches Using Artificial Neural Networks for Positioning Piezoelectric Actuator

An AIoT Architecture for Structural Testing: Application to a Real Aerospace Component (Embraer E2 Model Aircraft Flag Track)

Backstepping Controller for Nanopositioning in Piezoelectric Actuators with ANN Hysteresis Compensation

MPPT controller improvement for a PEM fuel cell system based on Gaussian Process Regression with a digital twin

Centralized MPPT Control Architecture for Photovoltaic Systems Using LoRa Technology

Architectures for Industrial AIoT Applications

Introducing Security Mechanisms in OpenFog-Compliant Smart Buildings

Rule-Based Operation Mode Control Strategy for the Energy Management of a Fuel Cell Electric Vehicle

Combined Control for a Piezoelectric Actuator Using a Feed-Forward Neural Network and Feedback Integral Fast Terminal Sliding Mode Control

Centralized MPPT based on Sliding Mode Control and XBee 900 MHz for PV systems

Maximum Power Point Tracker Controller for Solar Photovoltaic Based on Reinforcement Learning Agent with a Digital Twin

Ultraprecise Controller for Piezoelectric Actuators Based on Deep Learning and Model Predictive Control

Wireless Technologies for Industry 4.0 Applications

Scalable IoT Architecture for Monitoring IEQ Conditions in Public and Private Buildings

Validation of a Stewart platform inspection system with an artificial neural network controller

Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications

Reliable Control Applications with Wireless Communication Technologies: Application to Robotic Systems

Provision of Frequency Response from Wind Farms: A Review

Design and Performance of a XBee 900 MHz Acquisition System Aimed at Industrial Applications

Collaborators (4)

Pablo Fernández-Bustamante

Oscar Barambones

Imanol Martin

Jokin Uralde

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