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  • Gain-scheduled Smith predictor PID-based LPV controller for open-flow canal control

     Bolea Monte, Yolanda; Puig Cayuela, Vicenç; Blesa Izquierdo, Joaquin
    IEEE transactions on control systems technology
    Date of publication: 2014
    Journal article

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    In this paper, a gain-scheduled Smith Predictor PID controller is proposed for the control of an open flow canal system that allows to deal with large variation in operating conditions. A linear parameter varying (LPV) control oriented model for open-flow channel systems based on a Second Order Delay Hayami (SODH) model is proposed. Exploiting the second order structure of this model, an LPV PID controller is designed using and linear matrix inequalities (LMI) pole placement. The controller structure includes a Smith Predictor, real time estimated parameters from measurements (including the known part of the delay) that schedule the controller and predictor and unstructured dynamic uncertainty which covers the unknown portion of the delay. Finally, the proposed controller is validated in a case study based on a single real reach canal: the Lunax Gallery at Gascogne (France).

  • Linear parameter varying modeling and identification for real-time control of open-flow irrigation canals

     Bolea Monte, Yolanda; Puig Cayuela, Vicenç; Blesa Izquierdo, Joaquin
    Environmental modelling & software
    Date of publication: 2014-03
    Journal article

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    Irrigation canals are open-flow water hydraulic systems, whose objective is mainly to convey water from its source down to its final users. They are large distributed systems characterized by non-linearity and dynamic behavior that depends on the operating point. Moreover, in canals with multiple reaches dynamic behavior is highly affected by the coupling among them. The physical model for those systems leads to a distributed-parameter model whose description usually requires partial differential equations (PDEs). However, the solution and parameter estimation of those PDE equations can only be obtained numerically and imply quite time-consuming computations that make them not suitable for real-time control purposes. Alternatively, in this paper, it will be shown that open-flow canal systems can be suitably represented for control purposes by using linear parameter-varying (LPV) models. The advantage of this approach compared to the use of PDE equation is that allows simpler models which are suitable for control design and whose parameters can be easily identified from input-output data by means of classical identification techniques. In this paper, the well-known control-oriented, model named integral delay zero (IDZ), that is able to represent the canal dynamics around a given operating point by means of a linear time-invariant (LTI) model is extended to multiple operating points by means of an LPV model. The derivation of this LPV model for single-reach open-flow canal systems as well as its extension to multiple-reach open-flow canals is proposed. In particular, the proposed methodology allows deriving the model structure and estimating model parameters using data by means of identification techniques. Thus, a gray-box control model is obtained whose validation is carried out using single-pool and two-pool test canals obtaining satisfactory results. © 2013 Elsevier Ltd.

  • Adaptive threshold generation in robust fault detection using interval models: Time-domain and frequency-domain approaches

     Puig Cayuela, Vicenç; Montes de Oca Armeaga, Saul; Blesa Izquierdo, Joaquin
    International journal of adaptive control and signal processing
    Date of publication: 2013-10
    Journal article

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    In this paper, robust fault detection is addressed on the basis of evaluating the residual energy that it is compared against worst-case value (threshold) generated considering parametric modeling uncertainty using interval models. The evaluation of the residual/threshold energy can be performed either in the time or frequency domain. This paper proposes methods to compute such energy in the two domains. The first method generates the adaptive threshold in the time domain through determining the worst-case time evolution of the residual energy using a zonotope-based algorithm. The second method evaluates the worst-case energy evolution in the frequency domain using the Kharitonov polynomials. Results obtained using both approaches are related through the Parseval's theorem. Finally, two application examples (a smart servoactuator and a two DOFs helicopter) will be used to assess the validity of the proposed approaches and compare the results obtained.

  • Sensor placement for leak detection and location in water distribution networks

     Sarrate Estruch, Ramon; Blesa Izquierdo, Joaquin; Nejjari Akhi-elarab, Fatiha; Quevedo Casin, Joseba-jokin
    IWA Specialist Conference on Efficient Use and Management of Water "Water Efficiency Strategies for Difficult Times"
    Presentation's date: 2013-10-23
    Presentation of work at congresses

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  • Nonlinear set-membership identification and fault detection using a Bayesian framework: appllication to the wind turbine benchmark

     Fernandez Canti, Rosa M.; Tornil Sin, Sebastian; Blesa Izquierdo, Joaquin; Puig Cayuela, Vicenç
    IEEE Conference on Decision and Control
    Presentation's date: 2013-12-10
    Presentation of work at congresses

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    This paper deals with the problem of nonlinear set-membership identification and fault detection using a Bayesian framework. The paper presents how the set-membership model estimation can be reformulated from a Bayesian viewpoint in order to determine the feasible parameter set and, in a posterior fault detection stage, to check the consistency between the model and the data. The paper shows that the Bayesian approach, assuming uniform distributed measurement noise and flat model prior probability distribution, leads to the same feasible parameter set as the set-membership technique. To illustrate this point a comparison with the subpavings approach is included. Finally, by means of the application to the wind turbine benchmark problem, it is shown how the Bayesian fault detection test works successfully.

  • Set-membership Identification and Fault Detection using a Bayesian Framework

     Fernandez Canti, Rosa M.; Blesa Izquierdo, Joaquin; Puig Cayuela, Vicenç
    International Conference on Control and Fault-Tolerant Systems
    Presentation's date: 2013-10-10
    Presentation of work at congresses

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    This paper deals with the problem of set-membership identification and fault detection using a Bayesian framework. The paper presents how the set-membership model estimation problem can be reformulated from a Bayesian viewpoint in order to determine the feasible parameter set and, in a posterior fault detection stage, to check the consistency between data and the model. The paper shows that, assuming uniform distributed measurement noise and flat model prior probability distribution, the Bayesian approach leads to the same feasible parameter set than the set-membership strips technique and, additionally, can deal with models nonlinear in the parameters. The procedure and results are illustrated by means of the application to a quadruple tank process.

  • Limnimeter and rain gauge FDI in sewer networks using an interval parity equations based detection approach and an enhanced isolation scheme

     Blesa Izquierdo, Joaquin; Puig Cayuela, Vicenç
    Control engineering practice
    Date of publication: 2013-02
    Journal article

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  • A bayesian approach to robust identification. Application to fault detection  Open access

     Fernandez Canti, Rosa M.
    Defense's date: 2013-02-07
    Department of Signal Theory and Communications, Universitat Politècnica de Catalunya
    Theses

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    In the Control Engineering field, the so-called Robust Identification techniques deal with the problem of obtaining not only a nominal model of the plant, but also an estimate of the uncertainty associated to the nominal model. Such model of uncertainty is typically characterized as a region in the parameter space or as an uncertainty band around the frequency response of the nominal model. Uncertainty models have been widely used in the design of robust controllers and, recently, their use in model-based fault detection procedures is increasing. In this later case, consistency between new measurements and the uncertainty region is checked. When an inconsistency is found, the existence of a fault is decided. There exist two main approaches to the modeling of model uncertainty: the deterministic/worst case methods and the stochastic/probabilistic methods. At present, there are a number of different methods, e.g., model error modeling, set-membership identification and non-stationary stochastic embedding. In this dissertation we summarize the main procedures and illustrate their results by means of several examples of the literature. As contribution we propose a Bayesian methodology to solve the robust identification problem. The approach is highly unifying since many robust identification techniques can be interpreted as particular cases of the Bayesian framework. Also, the methodology can deal with non-linear structures such as the ones derived from the use of observers. The obtained Bayesian uncertainty models are used to detect faults in a quadruple-tank process and in a three-bladed wind turbine.

  • Robust gain-scheduled Smith PID controllers for second order LPV systems with time varying delay

     Puig Cayuela, Vicenç; Bolea Monte, Yolanda; Blesa Izquierdo, Joaquin
    IFAC Conference on Advances in PID Control
    Presentation's date: 2012-03-28
    Presentation of work at congresses

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    In this paper, a new approach to design a robust gain scheduled linear parameter varying (LPV) PID controller with pole placement constraints (through LMI regions) is proposed for LPV systems with second order structure and time-varying delay. The controller structure includes a Smith predictor, real time estimated parameters that schedule the controller and Smith predictor (using the known part of the delay) and unstructured dynamic uncertainty which covers the delay uncertainty. Finally, the proposed control technique is validated in a real case study based on a piece of a sewer system.

  • Set-membership parity space approach for fault detection in linear uncertain dynamic systems

     Blesa Izquierdo, Joaquin; Puig Cayuela, Vicenç; Saludes Closa, Jordi
    IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes
    Presentation's date: 2012-08-30
    Presentation of work at congresses

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    In this paper, a set-membership parity space approach for linear uncertain dynamic systems is proposed. First, a set of parity relations derived from the parity space approach are obtained. Then, the parameter identification of those relations is performed using a set-membership algorithm. In particular, in this work the parametric uncertainty is bounded by a zonotope. Fault detection is then based on checking, at every sampling time, the non existence of a parameter value in the parameter uncertainty set such that the model is consistent with all the system measurements. The proposed approach will be applied to a case study based in a two-tank system in order to evaluate its effectiveness.

  • Fault tolerant control of the wind turbine benchmark using virtual sensors/actuators  awarded activity

     Rotondo, Damiano; Nejjari Akhi-elarab, Fatiha; Puig Cayuela, Vicenç; Blesa Izquierdo, Joaquin
    IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes
    Presentation's date: 2012-08-29
    Presentation of work at congresses

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    In this paper, the problem of Fault Tolerant Control (FTC) of the wind turbine benchmark is addressed. The paper proposes the use of virtual sensor/actuator approaches to deal with sensor and actuator faults, respectively. The paper suggests the reformulation of these FTC schemes that have been already proposed in state space form in input/output form. The FTC module will use the information from the Fault Detection and Isolation (FDI) module previously designed using set-membership techniques. A fault estimation scheme is also proposed based on batch least squares approach. The performance of the proposed FTC schemes will be assessed using the proposed fault scenarios considered in the FTC benchmark.

    In this paper, the problem of Fault Tolerant Control (FTC) of the wind turbine benchmark is addressed. The paper proposes the use of virtual sensor/actuator approaches to deal with sensor and actuator faults, respectively. The paper suggests the reformulation of these FTC schemes that have been already proposed in state space form in input/output form. The FTC module will use the information from the Fault Detection and Isolation (FDI) module previously designed using set-membership techniques. A fault estimation scheme is also proposed based on batch least squares approach. The performance of the proposed FTC schemes will be assessed using the proposed fault scenarios considered in the FTC benchmark.

    Primer lloc de la "Competition on Fault Detection and Fault Tolerant Control for Wind Turbines", com la millor solució al problema de control tolerant a fallades per a aerogeneradors. El premi el dóna l’Aalborg University/MathWorks/kk-electronic.

  • Automatic control to improve the seaworthiness conditions in inland navigation networks: application to a channel in the North of France

     Blesa Izquierdo, Joaquin; Duviella, Eric; Sayeb-Mouchaweb, Mohamar; Puig Cayuela, Vicenç; Chuquet, Karine
    International Conference on Maritime Transport
    Presentation's date: 2012-06-21
    Presentation of work at congresses

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  • LPV modelling and identification of an open-flow canal for control

     Bolea Monte, Yolanda; Blesa Izquierdo, Joaquin; Puig Cayuela, Vicenç
    Mediterranean Conference on Control and Automation
    Presentation's date: 2012-07-04
    Presentation of work at congresses

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    Open-flow canals are large distributed systems characterized by non-linear, time-varying and dependent with the operating point behavior. These systems can be suitably represented for control by linear parameter varying (LPV) models. In this paper, two ways of obtaining an LPV model for a single reach open canal are proposed and compared: an LPV integrator delay zero (IDZ) model based on hydraulic laws and an LPV model based on identification techniques. The first approach is a white-box modeling approach while the latter is a grey-box methodology using experimental data. Finally, they will be applied and compared in a test-bench canal.

  • Access to the full text
    Robust fault detection based on adaptive threshold generation using interval LPV observers  Open access

     Montes de Oca, Saúl; Puig Cayuela, Vicenç; Blesa Izquierdo, Joaquin
    International journal of adaptive control and signal processing
    Date of publication: 2012
    Journal article

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    In this paper, robust fault detection based on adaptive threshold generation of a non-linear system described by means of a linear parameter-varying (LPV) model is addressed. Adaptive threshold is generated using an interval LPV observer that generates a band of predicted outputs taking into account the parameter uncertainties bounded using intervals. An algorithm that propagates the uncertainty based on zonotopes is proposed. The design procedure of this interval LPV observer is implemented via pole placement using linear matrix inequalities. Finally, the minimum detectable fault is characterized using fault sensitivity analysis and residual uncertainty bounds. Two examples, one based on a quadruple-tank system and another based on a two-degree of freedom helicopter, are used to assess the validity of the proposed fault detection approach.

  • Robust fault detection using polytope-based set-membership consistency test

     Blesa Izquierdo, Joaquin; Puig Cayuela, Vicenç; Saludes Closa, Jordi
    IET control theory and applications
    Date of publication: 2012-08-16
    Journal article

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    Robust identification and fault diagnosis based on uncertain multiple input-multiple output linear parameter varying parity equations and zonotopes  Open access

     Blesa Izquierdo, Joaquin; Puig Cayuela, Vicenç; Saludes Closa, Jordi
    Journal of process control
    Date of publication: 2012
    Journal article

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  • Safeprocess 2012

     Rotondo, Damiano; Nejjari Akhi-elarab, Fatiha; Puig Cayuela, Vicenç; Blesa Izquierdo, Joaquin
    Award or recognition

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  • Competition Fault Detection and Fault Tolerant Control for Wind Turbines

     Nejjari Akhi-elarab, Fatiha; Rotondo, Damiano; Puig Cayuela, Vicenç; Blesa Izquierdo, Joaquin
    Award or recognition

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  • SYSTEM HEALTH MANAGEMENT AND RELIABLE CONTROL OF COMPLEX SYSTEMS

     Puig Cayuela, Vicenç; Escobet Canal, Teresa; Saludes Closa, Jordi; Nejjari Akhi-elarab, Fatiha; Morcego Seix, Bernardo; De Las Heras Jimenez, Salvador Augusto; Escobet Canal, Antoni; Comasolivas Font, Ramon; Sarrate Estruch, Ramon; Pérez Magrané, Ramon; Tornil Sin, Sebastian; Masip Alvarez, Albert; Rotondo, Damiano; Vento Maldonado, Jorge Isaac; Blesa Izquierdo, Joaquin; Cuguero Escofet, Miquel Àngel; Romera Formiguera, Juli; Pascual Pañach, Josep; Sanz Estapé, Gerard; Cuguero Escofet, Josep; Quevedo Casin, Joseba-jokin
    Participation in a competitive project

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  • Fault diagnosis of wind turbines using a set-membership approach

     Blesa Izquierdo, Joaquin; Puig Cayuela, Vicenç; Romera Formiguera, Juli; Saludes Closa, Jordi
    World Congress of the International Federation of Automatic Control
    Presentation's date: 2011-09-02
    Presentation of work at congresses

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    In this paper, the problem of fault diagnosis in wind turbines will be addressed applying a setmembership approach. Fault detection is based on the use of parity equations and unknown but bound description of the noise and modelling errors. Fault detection test is based on checking consistency between measurements and the model by finding if there is parameter in the feasible parameter set (approximated by a zonotope) that is compatible with modelling and noise bounds. The fault isolation algorithm is based on analyzing the observed fault signatures on-line and matching them with the theoretical ones obtained using structural analysis. Finally, the proposed approach will be tested using the wind turbine benchmark proposed in the context of the WT FDI competition.

  • Identification and fault diagnosis for LPV uncertain systems

     Blesa Izquierdo, Joaquin; Puig Cayuela, Vicenç; Saludes Closa, Jordi
    IEEE Conference on Decision and Control and European Control Conference
    Presentation's date: 2011-12-13
    Presentation of work at congresses

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    In this paper, identification and fault diagnosis methods for uncertain Multiple Input Multiple Output (MIMO) Linear Parameters Varying (LPV) models is presented. The fault detection methodology is based on checking if measurements are inside the prediction bounds provided by a MIMO LPV model identified using real data and the parity equations approach. The proposed approach takes into account existing coupling between the different measured outputs. Modeling and prediction uncertainty bounds are handled using zonotopes. An identification algorithm that provides model parameters and their uncertainty such that all measured data free of faults will be inside the predicted bounds is also proposed. The fault isolation and estimation algorithm is based on the use of residual fault sensitivity. Finally, a case study based on a four tank system is used to illustrate the effectiveness of the proposed approach.

  • Identification for passive robust fault detection using zonotope-based set-membership approaches

     Blesa Izquierdo, Joaquin; Puig Cayuela, Vicenç; Saludes Closa, Jordi
    International journal of adaptive control and signal processing
    Date of publication: 2011-11
    Journal article

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  • Gain-scheduled Smith proportional-integral derivative controllers for linear parameter varying first-order plus time-varying delay systems

     Bolea Monte, Yolanda; Puig Cayuela, Vicenç; Blesa Izquierdo, Joaquin
    IET control theory and applications
    Date of publication: 2011-12-08
    Journal article

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    Practical control problems often deal with parameter-varying uncertain systems that can be described by a first-orderplus- delay (FOPD) model. In this paper, a new approach to design gain-scheduled robust linear parameter varying (LPV) propotional–intergral derivative controllers with pole placement constraints through linear matrix inequalities (LMI) regions is proposed. The controller structure includes a Smith Predictor (SP) to deal with the delays. System parameter variations are measured online and used to schedule the controller and the SP. Although the known part of the delay is compensated with the ‘delay scheduling’ SP, the proposed approach allows to consider uncertainty in the delay estimation. This uncertainty is taken into account in the controller design as an unstructured dynamic uncertainty. Finally, two applications are used to assess the proposed methodology: a simulated artificial example and a simulated physical system based on an open canal system used for irrigation purposes. Both applications are represented by FOPD models with large and variable delays as well as parameters that depend on the operating conditions. 1 Introduction Although the control community has developed new and, in many aspects, more powerful control techniques (e.g. H1 robust control) during the last few decades, the propotional–intergral derivative (PID) controller is still used in many of the real-world control applications. The reason is the simplicity and the facility to tune using heuristic rules [1]. On the other hand, advanced controllers designed with the aid of H1 robust control techniques are usually of high order, difficult to implement and virtually impossible to re-tune online. Furthermore, if implementation issues have been overlooked, they can produce extremely fragile controllers (small perturbations of the coefficients of the controller destabilise the closed-loop control system [2, 3]). Since the 1960s, the empirical (or classical) gainscheduling (GS) control [4–6] has been used for controlling non-linear and time-varying systems. But, this control methodology achieves closed-loop stability, without guarantees, for slowly varying parameters [7]. In order to overcome this deficiency, linear parameter-varying gainscheduling (LPV GS) controllers are introduced to allow arbitrarily smooth

  • Robust Identification and Fault Diagnosis using Set-membership Approaches

     Blesa Izquierdo, Joaquin
    Defense's date: 2011-06-20
    Department of Automatic Control, Universitat Politècnica de Catalunya
    Theses

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  • MAKING SENSE OF NONSENSE

     Puig Cayuela, Vicenç; Rotondo, Damiano; Ocampo Martinez, Carlos A.; Rosich Oliva, Albert; Saludes Closa, Jordi; Garcia Valverde, Diego; Sarrate Estruch, Ramon; Blesa Izquierdo, Joaquin; Nejjari Akhi-elarab, Fatiha; Comasolivas Font, Ramon; Cuguero Escofet, Miquel Àngel; Quevedo Casin, Joseba-jokin
    Participation in a competitive project

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  • Robust Fault Detection using Polytope-based Set-membership Consistency Test

     Blesa Izquierdo, Joaquin; Puig Cayuela, Vicenç; Saludes Closa, Jordi
    International Conference on Control and Fault-Tolerant Systems
    Presentation's date: 2010-10-08
    Presentation of work at congresses

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    Leak Detection, Isolation and Estimation in Pressurized Water Pipe Networks using LPV Models and Zonotopes  Open access

     Blesa Izquierdo, Joaquin; Puig Cayuela, Vicenç; Saludes Closa, Jordi; Vento, Jorge
    Symposium on Nonlinear Control Systems
    Presentation of work at congresses

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    In this paper, a leak detection, isolation and estimation methodology in pressurized water pipe networks is proposed. The methodology is based on computing residuals which are obtained comparing measured pressures (heads) in selected points of the network with their estimated values by means of a Linear Parameter Varying (LPV) model and zonotopes. The structure of the LPV model is obtained from the non-linear mathematical model of the network. The proposed detection method takes into account modelling uncertainty using zonotopes. The isolation and estimation task employs an algorithm based on the residual fault sensitivity analysis. Finally, a typical water pipe network is employed to validate the proposed methodology. This network is simulated using EPANET software. Parameters of LPV model and their uncertainty bounded by zonotopes are estimated from data coming from this simulator. A leak scenario allows to assess the effectiveness of the proposed approach.

  • Fault detection using interval LPV models in an open-flow canal

     Blesa Izquierdo, Joaquin; Puig Cayuela, Vicenç; Bolea Monte, Yolanda
    Control engineering practice
    Date of publication: 2010-05
    Journal article

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  • Robust Identification and Fault Detection using Zonotope-based Direct and Inverse Approaches

     Blesa Izquierdo, Joaquin; Puig Cayuela, Vicenç; Saludes Closa, Jordi; Montes, de Oca S
    International Workshop on Principles of Diagnosis
    Presentation's date: 2009-06-14
    Presentation of work at congresses

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  • NUEVAS METOLOGIAS DE DIAGNOSTICO,TOLERANCIA FALLOS Y MANTENIMIENTO PREDICTIVO MEDIANTE TECNICAS Y SISTEMAS HIBRIDOS

     Puig Cayuela, Vicenç; Quevedo Casin, Joseba-jokin; Escobet Canal, Teresa; Saludes Closa, Jordi; Nejjari Akhi-elarab, Fatiha; Tornil Sin, Sebastian; Comasolivas Font, Ramon; Sarrate Estruch, Ramon; Masip Alvarez, Albert; Pulido, Belarmino; Bregón, Aníbal; Prats Menéndez, Xavier; de Lira Ramírez, Salvador; Montes de Oca, Saúl; Blesa Izquierdo, Joaquin; Vento Maldonado, Jorge Isaac; Pascual Pañach, Josep; Garcia España, Claudia Maria
    Participation in a competitive project

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  • Identification for Passive Robust Fault Detection of LPV Systems using Zonotopes

     Blesa Izquierdo, Joaquin; Puig Cayuela, Vicenç; Saludes Closa, Jordi
    IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes
    Presentation's date: 2009-06-30
    Presentation of work at congresses

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  • LPV Gain-Scheduling Real-time Control of a Sewer System

     Bolea Monte, Yolanda; Puig Cayuela, Vicenç; Blesa Izquierdo, Joaquin
    European Control Conference
    Presentation of work at congresses

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  • Robust Fault Detection using Interval LPV Parity Equations: Application to an Open-flow Canal

     Blesa Izquierdo, Joaquin; Puig Cayuela, Vicenç; Bolea Monte, Yolanda
    European Control Conference
    Presentation of work at congresses

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  • Gain-Scheduled Smith PID Controllers for LPV Systems with Time Varying Delay: Application to an Open-flow Canal

     Bolea Monte, Yolanda; Puig Cayuela, Vicenç; Blesa Izquierdo, Joaquin
    World Congress of the International Federation of Automatic Control
    Presentation of work at congresses

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  • LPV Modelling and Identification of an Open Canal for Control

     Bolea Monte, Yolanda; Blesa Izquierdo, Joaquin; Puig Cayuela, Vicenç
    European Control Conference
    Presentation of work at congresses

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  • Fault Detection using Interval LPV Models with Uncertain Transport Delay: Application to Canals

     Blesa Izquierdo, Joaquin; Puig Cayuela, Vicenç; Bolea Monte, Yolanda
    International Workshop on Principles of Diagnosis
    Presentation's date: 2007-05-29
    Presentation of work at congresses

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  • Robust Fault Detection using Interval LPV Models

     Blesa Izquierdo, Joaquin; Bolea Monte, Yolanda; Puig Cayuela, Vicenç
    European Control Conference
    Presentation's date: 2007-07-02
    Presentation of work at congresses

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  • On the Use of the Muskingum Model in Real-Time Sewer Network Control

     Bolea Monte, Yolanda; Puig Cayuela, Vicenç; Blesa Izquierdo, Joaquin
    European Control Conference
    Presentation of work at congresses

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  • Fault Detection using Interval LPV Models: Application to Canals

     Blesa Izquierdo, Joaquin; Bolea Monte, Yolanda; Puig Cayuela, Vicenç
    Jornades UPC de Investigación en Automática, Visión y Robótica
    Presentation's date: 2006-07-04
    Presentation of work at congresses

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  • LPV VS Multi-model PI(D) Gain-scheduling Applied to Canal Control

     Bolea Monte, Yolanda; Puig Cayuela, Vicenç; Blesa Izquierdo, Joaquin; Gómez, M; Rodellar Benede, Jose Julian
    16th World Congress of the International Federation on Automatic Control
    Presentation of work at congresses

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  • A quasi-LPV model for gain-scheduling canal control

     Bolea Monte, Yolanda; Puig Cayuela, Vicenç; Blesa Izquierdo, Joaquin; Gomez Valentin, Manuel; Rodellar Benede, Jose Julian
    Archives of control sciences
    Date of publication: 2004-12
    Journal article

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  • L'aula d'Informàtica mòbil (Llicència Retribuïda)

     Blesa Izquierdo, Joaquin
    Participation in a competitive project

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  • An LPV Model for Canal Control

     Bolea Monte, Yolanda; Puig Cayuela, Vicenç; Blesa Izquierdo, Joaquin; Gómez, M; Rodellar Benede, Jose Julian
    Methods and Models in Automation and Robotics
    Presentation of work at congresses

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  • Rapport Final Dossier nº 00004285

     Puig Cayuela, Vicenç; Escobet Canal, Teresa; Quevedo Casin, Joseba-jokin; Figueras Jove, Jaume; Bolea Monte, Yolanda; Blesa Izquierdo, Joaquin; Cembrano Gennari, M.gabriela Elena
    Date: 2002-11
    Report

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  • REN2002-00032 CONTROL AUTOMÁTICO INTEGRADO DE CANALES DE RIEGO

     Puig Cayuela, Vicenç; Gomez Valentin, Manuel; Blesa Izquierdo, Joaquin
    Participation in a competitive project

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  • Modelización de redes hidráulicas y simulación de control de compuertas para la gestión de caudales

     Quevedo Casin, Joseba-jokin; Puig Cayuela, Vicenç; Serra Prat, Maria; Blesa Izquierdo, Joaquin
    Participation in a competitive project

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    Congreso Latinoamericano de Hidráulica
    Presentation of work at congresses

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  • Identification of an open canal: parametric black-box vs muskingum approaches

     Bolea Monte, Yolanda; Blesa Izquierdo, Joaquin; Puig Cayuela, Vicenç; Escobet Canal, Teresa
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    Presentation of work at congresses

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