SAC - Sistemes Avançats de Control
El grup SAC és un grup de recerca de la UPC actiu des del 1990 i l'any 2014 va ser reconegut com a grup de recerca consolidat. Des del seu inici, l'activitat científica del grup gira a l'entorn de temes relacionats amb la Supervisió, Seguretat i el Control Automàtic de sistemes i infraestructures crítiques.
Actualment, l'activitat científica del grup està organitzada a l'entorn dels següents temes:
- Mineria, validació correcció i fusió de dades heterogènies al el suport de informació cognitiva;
- Disseny de sistemes de diagnosis i control tolerants a fallades, resilients i segurs;
- Prognosis per estimar la salut dels sistemes i desenvolupar metodologies de manteniment predictiu.
- Disseny de sistemes de control òptim i gestió optimitzada de la producció
- Planificació de trajectòries i guiatge de vehicles autònoms.
Dins d'aquests àmbits el grup SAC està reconegut internacionalment fet que ho demostra el gran nombre de col·laboracions internacionals que té.
The group aim is to carry out applied research in the following areas: - Modelling, identification and simulation of continuous and discontinuous industrial processes
- Advanced control of dynamic systems
- Optimisation and constraint satisfaction
- Supervision and fault diagnosis of industrial processes and systems
- Fault-tolerant control; and related subjects.
The aim is to devise software applications that increase the reliability and performance of processes and systems on the basis of this research.
The group aim is to carry out applied research in the following areas: - Modelling, identification and simulation of continuous and discontinuous industrial processes
- Advanced control of dynamic systems
- Optimisation and constraint satisfaction
- Supervision and fault diagnosis of industrial processes and systems
- Fault-tolerant control; and related subjects.
The aim is to devise software applications that increase the reliability and performance of processes and systems on the basis of this research.
Collections in this community
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Articles de revista [354]
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Capítols de llibre [28]
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Reports de recerca [10]
Recent Submissions
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Input design for active detection of integrity attacks using set-based approach
(2020)
Conference report
Open AccessThis paper presents the design of an input sequence in order to actively guarantee detectabilityof integrity attacks. The design of the input sequence is formulated as an optimization problemwhere the performance ... -
A model for a multiresolution time series database system
(WSEAS Press, 2013)
Conference report
Open AccessIn this paper we propose a model for multiresolution time series database management systems. Thismodel stores compactly a time series and manages consistently its temporal dimension. This is achieved byextracting different ... -
Multi-task closed-loop inverse kinematics stability through semidefinite programming
(2020)
Conference report
Open AccessToday’s complex robotic designs comprise in some cases a large number of degrees of freedom, enabling for multi-objective task resolution (e.g., humanoid robots or aerial manipulators). This paper tackles the stability ... -
Fast zonotope-tube-based LPV-MPC for autonomous vehicles
(2020-12-27)
Article
Open AccessIn this study, the authors present an effective online tube-based model predictive control (T-MPC) solution for autonomous driving that aims at improving the computational load while ensuring robust stability and performance ... -
Recent advances on optimization for control, observation, and safety
(2020)
Article
Open AccessMathematical optimization is the selection of the best element in a set with respect to a given criterion. Optimization has become one of the most commonly used tools in modern control theory to compute control laws, adjust ... -
LPV MPC control of an autonomous aerial vehicle
(2020)
Conference report
Restricted access - publisher's policyThis work proposes the use of the LPV MPC approach for the position-heading control problem of a small quadrotor. The use of a LPV representation of the attitude subsystem allows to consider it as independent from the ... -
A project-oriented course on guidance and control of autonomous aerial vehicles
(Elsevier, 2020)
Conference report
Open AccessIn this paper, a project oriented course on guidance and control of autonomous aerial vehicles (UAVs) is presented. The paper describes the di erent modules of the course and how they are addressed using the project oriented ... -
Fault-tolerant control based on virtual actuator and sensor for discrete-time descriptor systems
(2020-12)
Article
Open AccessThis article proposes a fault-tolerant control (FTC) strategy based on virtual actuator and sensor for discrete-time descriptor systems subject to actuator and sensor faults. The fault-tolerant closed-loop system, which ... -
Active fault detection based on set-membership approach for uncertain discrete-time systems
(2020-09-25)
Article
Open AccessActive fault detection facilitates determination of the fault characteristics by injecting proper auxiliary input signals into the system. This article proposes an observer-based on-line active fault detection method for ... -
Leak diagnosis in pipelines using a combined artificial neural network approach
(2021-02-01)
Article
Restricted access - publisher's policyLeakages in pipelines affect the reliability of fluid transport systems causing environmental damages, economic losses, and pressure reduction at the delivery points. Therefore, this paper presents a methodology to detect ... -
Health-aware model predictive control of wind turbines using stifness degradation approach
(2020)
Conference report
Open AccessWind turbine blades are under signi cant gravitational, inertial, and aero-dynamic loads, which cause their fatigue and degradation during the wind turbine operational life. The present work proposes a Model Predictive ... -
First results in leak localization in water distribution networks using graph-based clustering and deep learning
(2020)
Conference report
Open AccessThis paper presents a methodology for the localization of leaks in water distribution networks (WDNs) by means of the combination of a deep learning (DL) approach and a graph-based clustering technique. A data set for all ...
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