The Experts below are selected from a list of 263736 Experts worldwide ranked by ideXlab platform
Emmanuele Serra - One of the best experts on this subject based on the ideXlab platform.
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Wireless Ventilation Control for Large-Scale Systems: the Mining Industrial Case
International Journal of Robust and Nonlinear Control, 2010Co-Authors: Emmanuel Witrant, Alessandro D'innocenzo, Guillaume Sandou, Fortunato Santucci, Maria Domenica Di Benedetto, Alf J. Isaksson, Karl Henrik Johansson, Silviu-iulian Niculescu, Sorin Olaru, Emmanuele SerraAbstract:This paper describes a new Industrial Case on automation, for large scale systems with high environmental impact: the \emph{mining ventilation} control systems. Ventilation control is essential for the operation of a mine in terms of safety ($CO$ and $NO_x$ regulation) and energy optimization. We first discuss a novel regulation architecture, highlighting the interest for a model-based control approach and the use of distributed sensing capabilities thanks to a wireless sensor network (WSN). We propose a new model for underground ventilation. The main components of the system dynamics are described with time-delays, transmission errors, energy losses and concentration profiles. Two different model-based control approaches, which can embody the complex dynamics of the system, are proposed. The first one resorts to a nonlinear model predictive control strategy (receding horizon) and aims to energy minimization thanks to a continuous operation of the fans. The second one, based on a hybrid description of the model and fans operation, provides automatic verification of the wireless control thanks to abstraction techniques. These control strategies are compared with simulations, in terms of regulation efficiency, energy consumption and need for computational capabilities. The Industrial Case description and control strategies open new vistas for the development of global system approaches that allow for the optimization of energy consumption of complex large-scale systems.
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Wireless ventilation control for large-scale systems: The mining Industrial Case: WIRELESS VENTILATION CONTROL
International Journal of Robust and Nonlinear Control, 2009Co-Authors: Emmanuel Witrant, Alessandro D'innocenzo, Guillaume Sandou, Fortunato Santucci, Maria Domenica Di Benedetto, Alf J. Isaksson, Karl Henrik Johansson, Silviu-iulian Niculescu, Sorin Olaru, Emmanuele SerraAbstract:This paper describes a new Industrial Case on automation, for large-scale systems with high environmental impact: the mining ventilation control systems. Ventilation control is essential for the operation of a mine in terms of safety (CO and NO, regulation) and energy optimization. We first discuss a novel regulation architecture, highlighting the interest for a model-based control approach and the use of distributed sensing capabilities thanks to a wireless sensor network (WSN). We propose a new model for underground ventilation. The main components of the system dynamics are described with time-delays, transmission errors, energy losses and concentration profiles. Two different model-based control approaches, which can embody the complex dynamics of the system, are proposed. The first one resorts to a nonlinear model predictive control strategy (receding horizon) and aims to energy minimization, thanks to a continuous operation of the fans. The second one, based on a hybrid description of the model and fans operation, provides automatic verification of the wireless control thanks to abstraction techniques. These control strategies are compared with simulations, in terms of regulation efficiency, energy consumption and the need for computational capabilities. The Industrial Case description and control strategies open new vistas for the development of global system approaches that allow for the optimization of energy consumption of complex large-scale systems.QC 2011012
Päivi Juutilainen - One of the best experts on this subject based on the ideXlab platform.
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Assessing software replacement success : An Industrial Case study applying four approaches
Lecture Notes in Computer Science, 2006Co-Authors: Jussi Koskinen, Tero Tilus, Jarmo J. Ahonen, Henna Sivula, Irja Kankaanpää, Päivi JuutilainenAbstract:This paper describes an Industrial Case study assessing software replacement success and other effects. The target of assessments has been a large commercial legacy system for customer register management. The success of its replacement by its performed rewrite has been assessed via four approaches concerning: user satisfaction, strengths and problems of the system, problem surveillance and expert judgments. The approaches and metrics have been selected in cooperation with Industrial experts in order that they would meet the needs of their organization. The assessments have been conducted by comparing the situations before and after the rewrite. They have included quality aspects. The applied approaches have supplemented each other well and results provided by them have been mainly consistent. The study has offered a wide view of the system replacement effects and lessons for the replacement assessment process improvement in Industrial settings.
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EuroSPI - Assessing software replacement success: an Industrial Case study applying four approaches
Lecture Notes in Computer Science, 2006Co-Authors: Jussi Koskinen, Tero Tilus, Jarmo J. Ahonen, Henna Sivula, Irja Kankaanpää, Päivi JuutilainenAbstract:This paper describes an Industrial Case study assessing software replacement success and other effects. The target of assessments has been a large commercial legacy system for customer register management. The success of its replacement by its performed rewrite has been assessed via four approaches concerning: user satisfaction, strengths and problems of the system, problem surveillance and expert judgments. The approaches and metrics have been selected in cooperation with Industrial experts in order that they would meet the needs of their organization. The assessments have been conducted by comparing the situations before and after the rewrite. They have included quality aspects. The applied approaches have supplemented each other well and results provided by them have been mainly consistent. The study has offered a wide view of the system replacement effects and lessons for the replacement assessment process improvement in Industrial settings.
Emmanuel Witrant - One of the best experts on this subject based on the ideXlab platform.
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Wireless Ventilation Control for Large-Scale Systems: the Mining Industrial Case
International Journal of Robust and Nonlinear Control, 2010Co-Authors: Emmanuel Witrant, Alessandro D'innocenzo, Guillaume Sandou, Fortunato Santucci, Maria Domenica Di Benedetto, Alf J. Isaksson, Karl Henrik Johansson, Silviu-iulian Niculescu, Sorin Olaru, Emmanuele SerraAbstract:This paper describes a new Industrial Case on automation, for large scale systems with high environmental impact: the \emph{mining ventilation} control systems. Ventilation control is essential for the operation of a mine in terms of safety ($CO$ and $NO_x$ regulation) and energy optimization. We first discuss a novel regulation architecture, highlighting the interest for a model-based control approach and the use of distributed sensing capabilities thanks to a wireless sensor network (WSN). We propose a new model for underground ventilation. The main components of the system dynamics are described with time-delays, transmission errors, energy losses and concentration profiles. Two different model-based control approaches, which can embody the complex dynamics of the system, are proposed. The first one resorts to a nonlinear model predictive control strategy (receding horizon) and aims to energy minimization thanks to a continuous operation of the fans. The second one, based on a hybrid description of the model and fans operation, provides automatic verification of the wireless control thanks to abstraction techniques. These control strategies are compared with simulations, in terms of regulation efficiency, energy consumption and need for computational capabilities. The Industrial Case description and control strategies open new vistas for the development of global system approaches that allow for the optimization of energy consumption of complex large-scale systems.
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Wireless ventilation control for large-scale systems: The mining Industrial Case: WIRELESS VENTILATION CONTROL
International Journal of Robust and Nonlinear Control, 2009Co-Authors: Emmanuel Witrant, Alessandro D'innocenzo, Guillaume Sandou, Fortunato Santucci, Maria Domenica Di Benedetto, Alf J. Isaksson, Karl Henrik Johansson, Silviu-iulian Niculescu, Sorin Olaru, Emmanuele SerraAbstract:This paper describes a new Industrial Case on automation, for large-scale systems with high environmental impact: the mining ventilation control systems. Ventilation control is essential for the operation of a mine in terms of safety (CO and NO, regulation) and energy optimization. We first discuss a novel regulation architecture, highlighting the interest for a model-based control approach and the use of distributed sensing capabilities thanks to a wireless sensor network (WSN). We propose a new model for underground ventilation. The main components of the system dynamics are described with time-delays, transmission errors, energy losses and concentration profiles. Two different model-based control approaches, which can embody the complex dynamics of the system, are proposed. The first one resorts to a nonlinear model predictive control strategy (receding horizon) and aims to energy minimization, thanks to a continuous operation of the fans. The second one, based on a hybrid description of the model and fans operation, provides automatic verification of the wireless control thanks to abstraction techniques. These control strategies are compared with simulations, in terms of regulation efficiency, energy consumption and the need for computational capabilities. The Industrial Case description and control strategies open new vistas for the development of global system approaches that allow for the optimization of energy consumption of complex large-scale systems.QC 2011012
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mining ventilation control a new Industrial Case for wireless automation
IEEE CASE Washington DC USA, 2008Co-Authors: Emmanuel Witrant, Fortunato Santucci, Maria Domenica Di Benedetto, Alf J. Isaksson, Karl Henrik Johansson, Alessandro Dinnocenzo, M StrandAbstract:This paper describes a new Industrial Case on wireless automation, for a large scale system with high environmental impact: the mining ventilation. We do not pretend to solve the global control problem but rather propose a novel approach based on distributed sensing/actuation capabilities, which can be allowed by the installation of an heterogeneous network in the underground process. Several key issues, such as the centralized vs. decentralized control, the macroscopic physical models for the main components and the network structure, are introduced to motivate future research along this line. We particularly highlight new grounds for the development of global control strategies that would allow for the energy consumption optimization of this large-scale system.
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Mining ventilation control: a new Industrial Case for wireless automation
2008Co-Authors: Emmanuel Witrant, Alessandro D'innocenzo, Fortunato Santucci, Maria Domenica Di Benedetto, Alf J. Isaksson, Karl Henrik Johansson, M StrandAbstract:This paper serves as an introduction to Special Session on Ventilation Control in Large-Scale Systems. We describe a new Industrial Case on wireless automation, for a large scale system with high environmental impact: the mining ventilation. We do not pretend to solve the global control problem but rather propose a novel approach based on distributed sensing/actuation capabilities, which can be allowed by the installation of an heterogeneous network in the underground process. Several key issues, such as the centralized vs. decentralized control, the macroscopic physical models for the main components and the network structure, are introduced to motivate future research along this line. We particularly highlight new grounds for the development of global control strategies that would allow for the energy consumption optimization of this large-scale system. Specific technical details along this line are presented in the companion papers.
Fortunato Santucci - One of the best experts on this subject based on the ideXlab platform.
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Wireless Ventilation Control for Large-Scale Systems: the Mining Industrial Case
International Journal of Robust and Nonlinear Control, 2010Co-Authors: Emmanuel Witrant, Alessandro D'innocenzo, Guillaume Sandou, Fortunato Santucci, Maria Domenica Di Benedetto, Alf J. Isaksson, Karl Henrik Johansson, Silviu-iulian Niculescu, Sorin Olaru, Emmanuele SerraAbstract:This paper describes a new Industrial Case on automation, for large scale systems with high environmental impact: the \emph{mining ventilation} control systems. Ventilation control is essential for the operation of a mine in terms of safety ($CO$ and $NO_x$ regulation) and energy optimization. We first discuss a novel regulation architecture, highlighting the interest for a model-based control approach and the use of distributed sensing capabilities thanks to a wireless sensor network (WSN). We propose a new model for underground ventilation. The main components of the system dynamics are described with time-delays, transmission errors, energy losses and concentration profiles. Two different model-based control approaches, which can embody the complex dynamics of the system, are proposed. The first one resorts to a nonlinear model predictive control strategy (receding horizon) and aims to energy minimization thanks to a continuous operation of the fans. The second one, based on a hybrid description of the model and fans operation, provides automatic verification of the wireless control thanks to abstraction techniques. These control strategies are compared with simulations, in terms of regulation efficiency, energy consumption and need for computational capabilities. The Industrial Case description and control strategies open new vistas for the development of global system approaches that allow for the optimization of energy consumption of complex large-scale systems.
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Wireless ventilation control for large-scale systems: The mining Industrial Case: WIRELESS VENTILATION CONTROL
International Journal of Robust and Nonlinear Control, 2009Co-Authors: Emmanuel Witrant, Alessandro D'innocenzo, Guillaume Sandou, Fortunato Santucci, Maria Domenica Di Benedetto, Alf J. Isaksson, Karl Henrik Johansson, Silviu-iulian Niculescu, Sorin Olaru, Emmanuele SerraAbstract:This paper describes a new Industrial Case on automation, for large-scale systems with high environmental impact: the mining ventilation control systems. Ventilation control is essential for the operation of a mine in terms of safety (CO and NO, regulation) and energy optimization. We first discuss a novel regulation architecture, highlighting the interest for a model-based control approach and the use of distributed sensing capabilities thanks to a wireless sensor network (WSN). We propose a new model for underground ventilation. The main components of the system dynamics are described with time-delays, transmission errors, energy losses and concentration profiles. Two different model-based control approaches, which can embody the complex dynamics of the system, are proposed. The first one resorts to a nonlinear model predictive control strategy (receding horizon) and aims to energy minimization, thanks to a continuous operation of the fans. The second one, based on a hybrid description of the model and fans operation, provides automatic verification of the wireless control thanks to abstraction techniques. These control strategies are compared with simulations, in terms of regulation efficiency, energy consumption and the need for computational capabilities. The Industrial Case description and control strategies open new vistas for the development of global system approaches that allow for the optimization of energy consumption of complex large-scale systems.QC 2011012
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mining ventilation control a new Industrial Case for wireless automation
IEEE CASE Washington DC USA, 2008Co-Authors: Emmanuel Witrant, Fortunato Santucci, Maria Domenica Di Benedetto, Alf J. Isaksson, Karl Henrik Johansson, Alessandro Dinnocenzo, M StrandAbstract:This paper describes a new Industrial Case on wireless automation, for a large scale system with high environmental impact: the mining ventilation. We do not pretend to solve the global control problem but rather propose a novel approach based on distributed sensing/actuation capabilities, which can be allowed by the installation of an heterogeneous network in the underground process. Several key issues, such as the centralized vs. decentralized control, the macroscopic physical models for the main components and the network structure, are introduced to motivate future research along this line. We particularly highlight new grounds for the development of global control strategies that would allow for the energy consumption optimization of this large-scale system.
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Mining ventilation control: a new Industrial Case for wireless automation
2008Co-Authors: Emmanuel Witrant, Alessandro D'innocenzo, Fortunato Santucci, Maria Domenica Di Benedetto, Alf J. Isaksson, Karl Henrik Johansson, M StrandAbstract:This paper serves as an introduction to Special Session on Ventilation Control in Large-Scale Systems. We describe a new Industrial Case on wireless automation, for a large scale system with high environmental impact: the mining ventilation. We do not pretend to solve the global control problem but rather propose a novel approach based on distributed sensing/actuation capabilities, which can be allowed by the installation of an heterogeneous network in the underground process. Several key issues, such as the centralized vs. decentralized control, the macroscopic physical models for the main components and the network structure, are introduced to motivate future research along this line. We particularly highlight new grounds for the development of global control strategies that would allow for the energy consumption optimization of this large-scale system. Specific technical details along this line are presented in the companion papers.
Maria Domenica Di Benedetto - One of the best experts on this subject based on the ideXlab platform.
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Wireless Ventilation Control for Large-Scale Systems: the Mining Industrial Case
International Journal of Robust and Nonlinear Control, 2010Co-Authors: Emmanuel Witrant, Alessandro D'innocenzo, Guillaume Sandou, Fortunato Santucci, Maria Domenica Di Benedetto, Alf J. Isaksson, Karl Henrik Johansson, Silviu-iulian Niculescu, Sorin Olaru, Emmanuele SerraAbstract:This paper describes a new Industrial Case on automation, for large scale systems with high environmental impact: the \emph{mining ventilation} control systems. Ventilation control is essential for the operation of a mine in terms of safety ($CO$ and $NO_x$ regulation) and energy optimization. We first discuss a novel regulation architecture, highlighting the interest for a model-based control approach and the use of distributed sensing capabilities thanks to a wireless sensor network (WSN). We propose a new model for underground ventilation. The main components of the system dynamics are described with time-delays, transmission errors, energy losses and concentration profiles. Two different model-based control approaches, which can embody the complex dynamics of the system, are proposed. The first one resorts to a nonlinear model predictive control strategy (receding horizon) and aims to energy minimization thanks to a continuous operation of the fans. The second one, based on a hybrid description of the model and fans operation, provides automatic verification of the wireless control thanks to abstraction techniques. These control strategies are compared with simulations, in terms of regulation efficiency, energy consumption and need for computational capabilities. The Industrial Case description and control strategies open new vistas for the development of global system approaches that allow for the optimization of energy consumption of complex large-scale systems.
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Wireless ventilation control for large-scale systems: The mining Industrial Case: WIRELESS VENTILATION CONTROL
International Journal of Robust and Nonlinear Control, 2009Co-Authors: Emmanuel Witrant, Alessandro D'innocenzo, Guillaume Sandou, Fortunato Santucci, Maria Domenica Di Benedetto, Alf J. Isaksson, Karl Henrik Johansson, Silviu-iulian Niculescu, Sorin Olaru, Emmanuele SerraAbstract:This paper describes a new Industrial Case on automation, for large-scale systems with high environmental impact: the mining ventilation control systems. Ventilation control is essential for the operation of a mine in terms of safety (CO and NO, regulation) and energy optimization. We first discuss a novel regulation architecture, highlighting the interest for a model-based control approach and the use of distributed sensing capabilities thanks to a wireless sensor network (WSN). We propose a new model for underground ventilation. The main components of the system dynamics are described with time-delays, transmission errors, energy losses and concentration profiles. Two different model-based control approaches, which can embody the complex dynamics of the system, are proposed. The first one resorts to a nonlinear model predictive control strategy (receding horizon) and aims to energy minimization, thanks to a continuous operation of the fans. The second one, based on a hybrid description of the model and fans operation, provides automatic verification of the wireless control thanks to abstraction techniques. These control strategies are compared with simulations, in terms of regulation efficiency, energy consumption and the need for computational capabilities. The Industrial Case description and control strategies open new vistas for the development of global system approaches that allow for the optimization of energy consumption of complex large-scale systems.QC 2011012
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mining ventilation control a new Industrial Case for wireless automation
IEEE CASE Washington DC USA, 2008Co-Authors: Emmanuel Witrant, Fortunato Santucci, Maria Domenica Di Benedetto, Alf J. Isaksson, Karl Henrik Johansson, Alessandro Dinnocenzo, M StrandAbstract:This paper describes a new Industrial Case on wireless automation, for a large scale system with high environmental impact: the mining ventilation. We do not pretend to solve the global control problem but rather propose a novel approach based on distributed sensing/actuation capabilities, which can be allowed by the installation of an heterogeneous network in the underground process. Several key issues, such as the centralized vs. decentralized control, the macroscopic physical models for the main components and the network structure, are introduced to motivate future research along this line. We particularly highlight new grounds for the development of global control strategies that would allow for the energy consumption optimization of this large-scale system.
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Mining ventilation control: a new Industrial Case for wireless automation
2008Co-Authors: Emmanuel Witrant, Alessandro D'innocenzo, Fortunato Santucci, Maria Domenica Di Benedetto, Alf J. Isaksson, Karl Henrik Johansson, M StrandAbstract:This paper serves as an introduction to Special Session on Ventilation Control in Large-Scale Systems. We describe a new Industrial Case on wireless automation, for a large scale system with high environmental impact: the mining ventilation. We do not pretend to solve the global control problem but rather propose a novel approach based on distributed sensing/actuation capabilities, which can be allowed by the installation of an heterogeneous network in the underground process. Several key issues, such as the centralized vs. decentralized control, the macroscopic physical models for the main components and the network structure, are introduced to motivate future research along this line. We particularly highlight new grounds for the development of global control strategies that would allow for the energy consumption optimization of this large-scale system. Specific technical details along this line are presented in the companion papers.
