The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform

Vicenc Puig - One of the best experts on this subject based on the ideXlab platform.

  • multi layer model predictive control of Inland Waterways with continuous and discrete actuators
    IFAC-PapersOnLine, 2020
    Co-Authors: P Segovia, Eric Duviella, Vicenc Puig
    Abstract:

    Abstract This work presents the design of a three-layer control strategy to regulate the water levels in Inland Waterways. The upper layer takes into account the tidal period, which defines two different operating modes. A controller is designed for each mode in the intermediate layer, as well as an observer that estimates the states and the disturbances. Finally, the lower layer solves an optimization problem that yields the scheduling of a set of discrete actuators that best approximates the optimal reference. A real case study based on part of the Inland Waterways in the north of France is used to test the proposed approach and demonstrate its effectiveness.

  • Model predictive control and moving horizon estimation for water level regulation in Inland Waterways
    Journal of Process Control, 2019
    Co-Authors: P Segovia, Eric Duviella, Lala Rajaoarisoa, Fatiha Nejjari, Vicenc Puig
    Abstract:

    Abstract This work regards the design of optimization techniques for the purposes of state estimation and control in the framework of Inland Waterways, often characterized by negligible bottom slopes and large time delays. The derived control-oriented model allows these issues to be handled in a suitable manner. Then, the analogous moving horizon estimation and model predictive control techniques are applied in a centralized manner to estimate the unmeasurable states and fulfill the operational goals, respectively. Finally, the performance of the methodology is tested in simulation by means of a realistic case study based on part of the Inland Waterways in the north of France. The results show that the proposed methodology is able to guarantee the navigability condition, as well as the other operational goals.

  • input delay model predictive control of Inland Waterways considering the backwater effect
    2018 IEEE Conference on Control Technology and Applications (CCTA), 2018
    Co-Authors: P Segovia, Eric Duviella, Lala Rajaoarisoa, Fatiha Nejjari, Vicenc Puig
    Abstract:

    Inland Waterways are large-scale systems, generally characterized by negligible bottom slopes and large time delays. These features pose challenging problems at the modeling and controller design stages. A control-oriented model is derived in this work, which allows to handle these issues in a suitable manner. A predictive control scheme is developed to ensure the coordination of the control actions and their delayed effects in the system. The proposed approach is tested on a case study to highlight its performance, and it is shown that it is possible to guarantee the navigability condition of the Waterways as well as other operational goals.

  • distributed input delay model predictive control of Inland Waterways
    HIC 2018. 13th International Conference on Hydroinformatics, 2018
    Co-Authors: P Segovia, Eric Duviella, Lala Rajaoarisoa, Fatiha Nejjari, Vicenc Puig
    Abstract:

    Trabajo presentado en la 13th International Conference on Hydroinformatics, celebrada en Palermo (Italia), del 1 al 6 de julio de 2018

  • sliding window assessment for sensor fault model based diagnosis in Inland Waterways
    IFAC-PapersOnLine, 2018
    Co-Authors: P Segovia, Eric Duviella, Vicenc Puig, Lala Rajaoarisoa, Fatiha Nejjari, Joaquim Blesa
    Abstract:

    Abstract The Cuinchy-Fontinettes reach belongs to the Inland Waterways in the north of France. It is equipped with limnimeters that measure water level data for the management of the water resources. These data can be corrupted by constant or intermittent faults. Hence, it is necessary to detect and localize these faults in order to guarantee efficient management actions. The proposed fault diagnosis method is based on the analysis of the parameters of a grey-box model. These parameters are obtained from available real data by using a sliding window, whose size is determined based on the level of excitation of input signals. Then, several scenarios involving constant and intermittent faults are proposed to discuss the performance of the proposed FDI approach as well as the effect of the sliding window size on the results.

P Segovia - One of the best experts on this subject based on the ideXlab platform.

  • multi layer model predictive control of Inland Waterways with continuous and discrete actuators
    IFAC-PapersOnLine, 2020
    Co-Authors: P Segovia, Eric Duviella, Vicenc Puig
    Abstract:

    Abstract This work presents the design of a three-layer control strategy to regulate the water levels in Inland Waterways. The upper layer takes into account the tidal period, which defines two different operating modes. A controller is designed for each mode in the intermediate layer, as well as an observer that estimates the states and the disturbances. Finally, the lower layer solves an optimization problem that yields the scheduling of a set of discrete actuators that best approximates the optimal reference. A real case study based on part of the Inland Waterways in the north of France is used to test the proposed approach and demonstrate its effectiveness.

  • Model predictive control and moving horizon estimation for water level regulation in Inland Waterways
    Journal of Process Control, 2019
    Co-Authors: P Segovia, Eric Duviella, Lala Rajaoarisoa, Fatiha Nejjari, Vicenc Puig
    Abstract:

    Abstract This work regards the design of optimization techniques for the purposes of state estimation and control in the framework of Inland Waterways, often characterized by negligible bottom slopes and large time delays. The derived control-oriented model allows these issues to be handled in a suitable manner. Then, the analogous moving horizon estimation and model predictive control techniques are applied in a centralized manner to estimate the unmeasurable states and fulfill the operational goals, respectively. Finally, the performance of the methodology is tested in simulation by means of a realistic case study based on part of the Inland Waterways in the north of France. The results show that the proposed methodology is able to guarantee the navigability condition, as well as the other operational goals.

  • input delay model predictive control of Inland Waterways considering the backwater effect
    2018 IEEE Conference on Control Technology and Applications (CCTA), 2018
    Co-Authors: P Segovia, Eric Duviella, Lala Rajaoarisoa, Fatiha Nejjari, Vicenc Puig
    Abstract:

    Inland Waterways are large-scale systems, generally characterized by negligible bottom slopes and large time delays. These features pose challenging problems at the modeling and controller design stages. A control-oriented model is derived in this work, which allows to handle these issues in a suitable manner. A predictive control scheme is developed to ensure the coordination of the control actions and their delayed effects in the system. The proposed approach is tested on a case study to highlight its performance, and it is shown that it is possible to guarantee the navigability condition of the Waterways as well as other operational goals.

  • distributed input delay model predictive control of Inland Waterways
    HIC 2018. 13th International Conference on Hydroinformatics, 2018
    Co-Authors: P Segovia, Eric Duviella, Lala Rajaoarisoa, Fatiha Nejjari, Vicenc Puig
    Abstract:

    Trabajo presentado en la 13th International Conference on Hydroinformatics, celebrada en Palermo (Italia), del 1 al 6 de julio de 2018

  • sliding window assessment for sensor fault model based diagnosis in Inland Waterways
    IFAC-PapersOnLine, 2018
    Co-Authors: P Segovia, Eric Duviella, Vicenc Puig, Lala Rajaoarisoa, Fatiha Nejjari, Joaquim Blesa
    Abstract:

    Abstract The Cuinchy-Fontinettes reach belongs to the Inland Waterways in the north of France. It is equipped with limnimeters that measure water level data for the management of the water resources. These data can be corrupted by constant or intermittent faults. Hence, it is necessary to detect and localize these faults in order to guarantee efficient management actions. The proposed fault diagnosis method is based on the analysis of the parameters of a grey-box model. These parameters are obtained from available real data by using a sliding window, whose size is determined based on the level of excitation of input signals. Then, several scenarios involving constant and intermittent faults are proposed to discuss the performance of the proposed FDI approach as well as the effect of the sliding window size on the results.

Eric Duviella - One of the best experts on this subject based on the ideXlab platform.

  • multi layer model predictive control of Inland Waterways with continuous and discrete actuators
    IFAC-PapersOnLine, 2020
    Co-Authors: P Segovia, Eric Duviella, Vicenc Puig
    Abstract:

    Abstract This work presents the design of a three-layer control strategy to regulate the water levels in Inland Waterways. The upper layer takes into account the tidal period, which defines two different operating modes. A controller is designed for each mode in the intermediate layer, as well as an observer that estimates the states and the disturbances. Finally, the lower layer solves an optimization problem that yields the scheduling of a set of discrete actuators that best approximates the optimal reference. A real case study based on part of the Inland Waterways in the north of France is used to test the proposed approach and demonstrate its effectiveness.

  • Model predictive control and moving horizon estimation for water level regulation in Inland Waterways
    Journal of Process Control, 2019
    Co-Authors: P Segovia, Eric Duviella, Lala Rajaoarisoa, Fatiha Nejjari, Vicenc Puig
    Abstract:

    Abstract This work regards the design of optimization techniques for the purposes of state estimation and control in the framework of Inland Waterways, often characterized by negligible bottom slopes and large time delays. The derived control-oriented model allows these issues to be handled in a suitable manner. Then, the analogous moving horizon estimation and model predictive control techniques are applied in a centralized manner to estimate the unmeasurable states and fulfill the operational goals, respectively. Finally, the performance of the methodology is tested in simulation by means of a realistic case study based on part of the Inland Waterways in the north of France. The results show that the proposed methodology is able to guarantee the navigability condition, as well as the other operational goals.

  • input delay model predictive control of Inland Waterways considering the backwater effect
    2018 IEEE Conference on Control Technology and Applications (CCTA), 2018
    Co-Authors: P Segovia, Eric Duviella, Lala Rajaoarisoa, Fatiha Nejjari, Vicenc Puig
    Abstract:

    Inland Waterways are large-scale systems, generally characterized by negligible bottom slopes and large time delays. These features pose challenging problems at the modeling and controller design stages. A control-oriented model is derived in this work, which allows to handle these issues in a suitable manner. A predictive control scheme is developed to ensure the coordination of the control actions and their delayed effects in the system. The proposed approach is tested on a case study to highlight its performance, and it is shown that it is possible to guarantee the navigability condition of the Waterways as well as other operational goals.

  • distributed input delay model predictive control of Inland Waterways
    HIC 2018. 13th International Conference on Hydroinformatics, 2018
    Co-Authors: P Segovia, Eric Duviella, Lala Rajaoarisoa, Fatiha Nejjari, Vicenc Puig
    Abstract:

    Trabajo presentado en la 13th International Conference on Hydroinformatics, celebrada en Palermo (Italia), del 1 al 6 de julio de 2018

  • sliding window assessment for sensor fault model based diagnosis in Inland Waterways
    IFAC-PapersOnLine, 2018
    Co-Authors: P Segovia, Eric Duviella, Vicenc Puig, Lala Rajaoarisoa, Fatiha Nejjari, Joaquim Blesa
    Abstract:

    Abstract The Cuinchy-Fontinettes reach belongs to the Inland Waterways in the north of France. It is equipped with limnimeters that measure water level data for the management of the water resources. These data can be corrupted by constant or intermittent faults. Hence, it is necessary to detect and localize these faults in order to guarantee efficient management actions. The proposed fault diagnosis method is based on the analysis of the parameters of a grey-box model. These parameters are obtained from available real data by using a sliding window, whose size is determined based on the level of excitation of input signals. Then, several scenarios involving constant and intermittent faults are proposed to discuss the performance of the proposed FDI approach as well as the effect of the sliding window size on the results.

Mark A Fraser - One of the best experts on this subject based on the ideXlab platform.

  • rehabilitation options for Inland Waterways impacted by sulfidic sediments field trials in a south eastern australian wetland
    Journal of Environmental Management, 2012
    Co-Authors: Mark A Fraser, Darren S Baldwin, Gavin N Rees, Ewen Silvester, Kerry L Whitworth
    Abstract:

    Abstract The accumulation of significant pools of sulfidic sediments in Inland wetlands and creeks is an emerging risk for the management of Inland Waterways. We used replicated plot trials to appraise the viability of various strategies for neutralizing oxidized, acidified sulfidic sediments in a highly degraded wetland. Of the twenty different treatments trialed only addition of calcium hydroxide or calcium carbonate, burning of wood, and planting of Phragmites australis , Typha domingensis and Atriplex nummularia into beds prepared with CaCO 3 or P. australis and T. domingensis into beds of sediment and mulch, decreased total actual acidity (TAA) in the top 5 cm of sediment in the first two weeks following treatment. Only the calcium hydroxide treatments and planting of P. australis , T. domingensis and A. nummularia into beds prepared with CaCO 3 decreased TAA for a longer period of time (6 months). None of the treatments, except the planting of P. australis into beds prepared with lime, decreased TAA in the 5–30 cm layer of sediments. Therefore, the only effective treatment appears to be the application of highly alkaline ameliorants which need to be transported to the site. A survey of the wetland was undertaken to estimate the total amount of actual and potential acidity stored in the wetland's sediment and overlying water and showed that up to 1200 tonnes of calcium carbonate would be required to neutralise all of the actual and potential acidity in the 10 ha wetland. However, neutralisation of the remaining water in the wetland (about 12.5 ML) would produce approximately 2750 m 3 of metal rich sludge (approximately 100 tonnes dry weight) that would require separate disposal.

  • rehabilitation options for Inland Waterways impacted by sulfidic sediments a synthesis
    Journal of Environmental Management, 2009
    Co-Authors: Darren S Baldwin, Mark A Fraser
    Abstract:

    The build up of reduced inorganic sulfur in the sediments of Inland wetlands and creeks is an emerging risk for the management of Inland Waterways and is a direct result of secondary salinisation. Inappropriate management of these sediments can lead to a number of adverse environmental outcomes, the most dramatic of which is the extreme acidification of Inland Waterways, but can also include deoxygenation and the release of heavy metals. This paper explores possible management options for reducing the impact of sulfidic sediments on Inland Waterways based on previous research into ameliorating the impact of acid mine and acid rock drainage and coastal acid sulfate soils. The main strategies explored include minimising the formation of sulfidic sediments in the first instance, rehabilitation of impacted Waterways, or isolation of the water body from the surrounding environment.

Fatiha Nejjari - One of the best experts on this subject based on the ideXlab platform.

  • Model predictive control and moving horizon estimation for water level regulation in Inland Waterways
    Journal of Process Control, 2019
    Co-Authors: P Segovia, Eric Duviella, Lala Rajaoarisoa, Fatiha Nejjari, Vicenc Puig
    Abstract:

    Abstract This work regards the design of optimization techniques for the purposes of state estimation and control in the framework of Inland Waterways, often characterized by negligible bottom slopes and large time delays. The derived control-oriented model allows these issues to be handled in a suitable manner. Then, the analogous moving horizon estimation and model predictive control techniques are applied in a centralized manner to estimate the unmeasurable states and fulfill the operational goals, respectively. Finally, the performance of the methodology is tested in simulation by means of a realistic case study based on part of the Inland Waterways in the north of France. The results show that the proposed methodology is able to guarantee the navigability condition, as well as the other operational goals.

  • input delay model predictive control of Inland Waterways considering the backwater effect
    2018 IEEE Conference on Control Technology and Applications (CCTA), 2018
    Co-Authors: P Segovia, Eric Duviella, Lala Rajaoarisoa, Fatiha Nejjari, Vicenc Puig
    Abstract:

    Inland Waterways are large-scale systems, generally characterized by negligible bottom slopes and large time delays. These features pose challenging problems at the modeling and controller design stages. A control-oriented model is derived in this work, which allows to handle these issues in a suitable manner. A predictive control scheme is developed to ensure the coordination of the control actions and their delayed effects in the system. The proposed approach is tested on a case study to highlight its performance, and it is shown that it is possible to guarantee the navigability condition of the Waterways as well as other operational goals.

  • distributed input delay model predictive control of Inland Waterways
    HIC 2018. 13th International Conference on Hydroinformatics, 2018
    Co-Authors: P Segovia, Eric Duviella, Lala Rajaoarisoa, Fatiha Nejjari, Vicenc Puig
    Abstract:

    Trabajo presentado en la 13th International Conference on Hydroinformatics, celebrada en Palermo (Italia), del 1 al 6 de julio de 2018

  • sliding window assessment for sensor fault model based diagnosis in Inland Waterways
    IFAC-PapersOnLine, 2018
    Co-Authors: P Segovia, Eric Duviella, Vicenc Puig, Lala Rajaoarisoa, Fatiha Nejjari, Joaquim Blesa
    Abstract:

    Abstract The Cuinchy-Fontinettes reach belongs to the Inland Waterways in the north of France. It is equipped with limnimeters that measure water level data for the management of the water resources. These data can be corrupted by constant or intermittent faults. Hence, it is necessary to detect and localize these faults in order to guarantee efficient management actions. The proposed fault diagnosis method is based on the analysis of the parameters of a grey-box model. These parameters are obtained from available real data by using a sliding window, whose size is determined based on the level of excitation of input signals. Then, several scenarios involving constant and intermittent faults are proposed to discuss the performance of the proposed FDI approach as well as the effect of the sliding window size on the results.