SIC - Sistemes Intel·ligents de Control
El Grup de Recerca en Sistemes Intel·ligents de Control (SIC) és un grup multidisciplinari de professors de la Universitat Politècnica de Catalunya (UPC) - Barcelona Tech dedicat a l'ampli món del control automàtic i la supervisió de sistemes.
L’objectiu principal del SIC és contribuir a la competitivitat de les nostres empreses i al coneixement científic i tècnic. Els investigadors del SIC descriuen els sistemes dinàmics mitjançant models matemàtics, analitzen dinàmicament el seu comportament en domini temporal i freqüencial, localitzen de forma òptima sensors, dissenyen sistemes de control avançats (controladors predictius, controladors intel·ligents, ...) i desenvolupen sistemes de supervisió que optimitzen criteris de funcionament sota diverses restriccions amb capacitat per predir, detectar i diagnosticar fallades i amb capacitat per crear mecanismes tolerants a possibles fallades en temps real dels sistemes complexos.
El Grupo de Investigación en Sistemas Inteligentes de Control (SIC) es un grupo multidisciplinar de profesores de la Universitat Politècnica de Catalunya (UPC) -Barcelona Tech dedicado al amplio mundo del control automático y la supervisión de sistemas.
El objetivo principal del SIC es contribuir a la competitividad de nuestras empresas y el conocimiento científico y técnico. Los investigadores del SIC describen los sistemas dinámicos mediante modelos matemáticos, analizan dinámicamente su comportamiento en dominio temporal y frecuencial, localizan de forma óptima sensores, diseñan sistemas de control avanzados (controladores predictivos, controladores inteligentes, ...) y desarrollan sistemas de supervisión que optimizan criterios de funcionamiento bajo diversas restricciones con capacidad para predecir, detectar y diagnosticar fallos y con capacidad para crear mecanismos tolerantes a posibles fallos en tiempo real de los sistemas complejos.
El Grupo de Investigación en Sistemas Inteligentes de Control (SIC) es un grupo multidisciplinar de profesores de la Universitat Politècnica de Catalunya (UPC) -Barcelona Tech dedicado al amplio mundo del control automático y la supervisión de sistemas.
El objetivo principal del SIC es contribuir a la competitividad de nuestras empresas y el conocimiento científico y técnico. Los investigadores del SIC describen los sistemas dinámicos mediante modelos matemáticos, analizan dinámicamente su comportamiento en dominio temporal y frecuencial, localizan de forma óptima sensores, diseñan sistemas de control avanzados (controladores predictivos, controladores inteligentes, ...) y desarrollan sistemas de supervisión que optimizan criterios de funcionamiento bajo diversas restricciones con capacidad para predecir, detectar y diagnosticar fallos y con capacidad para crear mecanismos tolerantes a posibles fallos en tiempo real de los sistemas complejos.
El Grupo de Investigación en Sistemas Inteligentes de Control (SIC) es un grupo multidisciplinar de profesores de la Universitat Politècnica de Catalunya (UPC) -Barcelona Tech dedicado al amplio mundo del control automático y la supervisión de sistemas.
El objetivo principal del SIC es contribuir a la competitividad de nuestras empresas y el conocimiento científico y técnico. Los investigadores del SIC describen los sistemas dinámicos mediante modelos matemáticos, analizan dinámicamente su comportamiento en dominio temporal y frecuencial, localizan de forma óptima sensores, diseñan sistemas de control avanzados (controladores predictivos, controladores inteligentes, ...) y desarrollan sistemas de supervisión que optimizan criterios de funcionamiento bajo diversas restricciones con capacidad para predecir, detectar y diagnosticar fallos y con capacidad para crear mecanismos tolerantes a posibles fallos en tiempo real de los sistemas complejos.
Collections in this community
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Articles de revista [135]
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Capítols de llibre [15]
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Llibres [1]
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Ressenyes [1]
Recent Submissions
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Coordination of autonomous vehicles using a mixed-integer LPV-MPC planner
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference report
Open AccessThis work addresses the problem of coordinating multiple autonomous vehicles. In particular, an optimal planner based on Model Predictive Control (MPC) is designed for each vehicle, using the linear parameter-varying (LPV) ... -
A zonotopic FDI approach with LPV-based EKF in autonomous vehicles
(2024)
Article
Open AccessThis paper presents a fault detection and isolation approach for state estimation in autonomous vehicles, enhancing safety through the assurance of accurate measurement acquisition. Using a zonotopic method to guarantee ... -
Enhancing safety in autonomous vehicles using zonotopic LPV-EKF for fault detection and isolation in state estimation
(2025-03)
Article
Restricted access - publisher's policyIn this paper, a solution is presented to address the sensor fault detection and isolation (FDI) problem in state estimation for autonomous vehicles (AVs). The primary impetus for autonomous driving lies in its potential ... -
Automatic distribution of PRVs for leakage reduction
(Multidisciplinary Digital Publishing Institute (MDPI), 2024)
Conference report
Open AccessIn this work, an automatic distribution of the pressure reduction valves (PRVs) is proposed. First, a well-calibrated hydraulic model is required. The model of Manresa, a city of Catalunya in the Mediterranean area, was ... -
Absenteeism in maritime education: insights, challenges, and innovative solutions
(Massachusetts Maritime Academy, 2024)
Conference report
Open AccessStudents’ attendance at classes is a measure that reflects students’ enthusiasm for the course and their status in the university. University-level absenteeism is influenced by various factors, ranging from academic ... -
Development of a graph dynamic sectorization tool using QGIS/PostgreSQL to plan and operate water distribution networks
(Universitat Politècnica de València, 2022)
Conference report
Open AccessThis paper presents a definition of different types of sectorization used by water distribution companies, as well as a methodology for their identification and application in the dynamic zoning of water distribution ... -
Leak localisation methos using a detailed hydraulic model combined with high resolution pressure sensors applied to a real network
(Universitat Politècnica de València, 2022)
Conference lecture
Restricted access - publisher's policyThe objective has been the elaboration of a method of locating specific and background leaks in hydraulic models. We have worked with high-resolution hydraulic models with high resolution pressure sensors. The method has ... -
Ocean quadcopters: persistent and autonomous aerial surveillance of large maritime areas by quadcopters self-powered by ocean waves
(Springer, 2024-03-15)
Article
Open AccessIn this work consideration is given to the possibility for persistent aerial surveillance of oceans by means of quadcopters capable of taking off and landing on the sea and charging their batteries by the waves from the ... -
A contribution to students’ assessment adjusts of multiple choice questionnaires with fuzzy logic
(Universitat Politècnica de Catalunya (UPC), 2022)
Conference report
Open AccessIn University environment, it is common to use multiple-choice objective tests with three or four possible answers, of which only one is correct and the rest are erroneous. In this type of tests, usually the wrong answers ... -
Assessment based on fuzzy logic of multiple choice questionnaires
(Universitat Politècnica de Catalunya (UPC), 2022)
Conference report
Open AccessIn University environment, it is common to use multiple-choice objective tests with three or four possible answers, of which only one is correct and the rest are erroneous. In this type of tests, usually the wrong answers ... -
Design of shifting state-feedback controllers for constrained feedback linearized systems: application to quadrotor attitude control
(2024-03-10)
Article
Open AccessThis paper proposes a shifting feedback linearization controller for nonlinear systems under input saturation. The suggested approach for determining a linear parameter-varying (LPV) state-feedback controller is based on ... -
Reinforcement learning versus model predictive control on greenhouse climate control
(Elsevier, 2023-12-01)
Article
Open AccessThe greenhouse system plays a crucial role to ensure an adequate supply of fresh food for the growing global population. However, maintaining an optimal growing climate within a greenhouse requires resources and operational ...