The Experts below are selected from a list of 39603 Experts worldwide ranked by ideXlab platform
Efstratios N. Pistikopoulos - One of the best experts on this subject based on the ideXlab platform.
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Multi-Parametric Optimization in Smart Manufacturing & Process Intensification
Computer Aided Chemical Engineering, 2018Co-Authors: Efstratios N. PistikopoulosAbstract:Abstract Smart Manufacturing and Process Intensification are major initiatives in the US and worldwide in which process systems engineering core areas, such as modelling, Optimization, control and data analytics, play key role. In Smart manufacturing real-time Optimization and on-line control based on big data analytics and modelling efforts constitute important challenges. In Process Intensification the in-silico modelling, synthesis and Optimization of operable and safe process intensification alternatives constitutes a key research direction. Multi-Parametric Optimization provides a complete map of solutions of an Optimization problem as a function of, unknown but bounded, parameters in the model, in a computationally efficient manner, without exhaustively enumerating the entire parameter space. In a Model-based Control framework, multi-Parametric Optimization can be used to obtain the governing ‘control laws’ – the optimal control/Optimization variables as an explicit function of the state variables/parameters. This offers opportunities to (i) significantly accelerate and facilitate real-time/on-line Optimization solution strategies - in the context of smart manufacturing applications, and (ii) effectively enable the systematic integration of operability criteria in the synthesis and Optimization steps - in the context of process intensification. In this presentation, we will first provide a historical progress report of the key developments in multi-Parametric Optimization and control. We will then describe PAROC, a systematic framework and prototype software system which allows for the representation, modelling and solution of integrated design, operation and advanced control problems – with focus on sustainable energy systems, smart manufacturing and process intensification.
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POP – Parametric Optimization Toolbox
Industrial & Engineering Chemistry Research, 2016Co-Authors: Richard Oberdieck, Nikolaos A. Diangelakis, Maria M. Papathanasiou, Ioana Nascu, Efstratios N. PistikopoulosAbstract:In this paper, we describe POP, a MATLAB toolbox for Parametric Optimization. It features (a) efficient implementations of multiParametric programming problem solvers for multiParametric linear and quadratic programming problems and their mixed-integer counter-parts, (b) a versatile problem generator capable of creating random multiParametric programming problems of arbitrary size, and (c) a comprehensive library of multiParametric programming test problems featuring benchmark test sets for multiParametric linear, quadratic, mixed-integer linear, and mixed-integer quadratic programming problems. In addition, POP is equipped with a graphical user interface which enables the user-friendly use of all functionalities of POP and a link to the solvers of the Multi-Parametric Toolbox (MPT), as well as the ability to design explicit MPC problems. These features are demonstrated in detailed computational studies providing insights into the versatility and applicability of POP. Additionally, the example of a period...
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pop Parametric Optimization toolbox
Industrial & Engineering Chemistry Research, 2016Co-Authors: Richard Oberdieck, Nikolaos A. Diangelakis, Maria M. Papathanasiou, Ioana Nascu, Efstratios N. PistikopoulosAbstract:In this paper, we describe POP, a MATLAB toolbox for Parametric Optimization. It features (a) efficient implementations of multiParametric programming problem solvers for multiParametric linear and quadratic programming problems and their mixed-integer counter-parts, (b) a versatile problem generator capable of creating random multiParametric programming problems of arbitrary size, and (c) a comprehensive library of multiParametric programming test problems featuring benchmark test sets for multiParametric linear, quadratic, mixed-integer linear, and mixed-integer quadratic programming problems. In addition, POP is equipped with a graphical user interface which enables the user-friendly use of all functionalities of POP and a link to the solvers of the Multi-Parametric Toolbox (MPT), as well as the ability to design explicit MPC problems. These features are demonstrated in detailed computational studies providing insights into the versatility and applicability of POP. Additionally, the example of a period...
Richard Oberdieck - One of the best experts on this subject based on the ideXlab platform.
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POP – Parametric Optimization Toolbox
Industrial & Engineering Chemistry Research, 2016Co-Authors: Richard Oberdieck, Nikolaos A. Diangelakis, Maria M. Papathanasiou, Ioana Nascu, Efstratios N. PistikopoulosAbstract:In this paper, we describe POP, a MATLAB toolbox for Parametric Optimization. It features (a) efficient implementations of multiParametric programming problem solvers for multiParametric linear and quadratic programming problems and their mixed-integer counter-parts, (b) a versatile problem generator capable of creating random multiParametric programming problems of arbitrary size, and (c) a comprehensive library of multiParametric programming test problems featuring benchmark test sets for multiParametric linear, quadratic, mixed-integer linear, and mixed-integer quadratic programming problems. In addition, POP is equipped with a graphical user interface which enables the user-friendly use of all functionalities of POP and a link to the solvers of the Multi-Parametric Toolbox (MPT), as well as the ability to design explicit MPC problems. These features are demonstrated in detailed computational studies providing insights into the versatility and applicability of POP. Additionally, the example of a period...
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pop Parametric Optimization toolbox
Industrial & Engineering Chemistry Research, 2016Co-Authors: Richard Oberdieck, Nikolaos A. Diangelakis, Maria M. Papathanasiou, Ioana Nascu, Efstratios N. PistikopoulosAbstract:In this paper, we describe POP, a MATLAB toolbox for Parametric Optimization. It features (a) efficient implementations of multiParametric programming problem solvers for multiParametric linear and quadratic programming problems and their mixed-integer counter-parts, (b) a versatile problem generator capable of creating random multiParametric programming problems of arbitrary size, and (c) a comprehensive library of multiParametric programming test problems featuring benchmark test sets for multiParametric linear, quadratic, mixed-integer linear, and mixed-integer quadratic programming problems. In addition, POP is equipped with a graphical user interface which enables the user-friendly use of all functionalities of POP and a link to the solvers of the Multi-Parametric Toolbox (MPT), as well as the ability to design explicit MPC problems. These features are demonstrated in detailed computational studies providing insights into the versatility and applicability of POP. Additionally, the example of a period...
Nikolaos A. Diangelakis - One of the best experts on this subject based on the ideXlab platform.
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POP – Parametric Optimization Toolbox
Industrial & Engineering Chemistry Research, 2016Co-Authors: Richard Oberdieck, Nikolaos A. Diangelakis, Maria M. Papathanasiou, Ioana Nascu, Efstratios N. PistikopoulosAbstract:In this paper, we describe POP, a MATLAB toolbox for Parametric Optimization. It features (a) efficient implementations of multiParametric programming problem solvers for multiParametric linear and quadratic programming problems and their mixed-integer counter-parts, (b) a versatile problem generator capable of creating random multiParametric programming problems of arbitrary size, and (c) a comprehensive library of multiParametric programming test problems featuring benchmark test sets for multiParametric linear, quadratic, mixed-integer linear, and mixed-integer quadratic programming problems. In addition, POP is equipped with a graphical user interface which enables the user-friendly use of all functionalities of POP and a link to the solvers of the Multi-Parametric Toolbox (MPT), as well as the ability to design explicit MPC problems. These features are demonstrated in detailed computational studies providing insights into the versatility and applicability of POP. Additionally, the example of a period...
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pop Parametric Optimization toolbox
Industrial & Engineering Chemistry Research, 2016Co-Authors: Richard Oberdieck, Nikolaos A. Diangelakis, Maria M. Papathanasiou, Ioana Nascu, Efstratios N. PistikopoulosAbstract:In this paper, we describe POP, a MATLAB toolbox for Parametric Optimization. It features (a) efficient implementations of multiParametric programming problem solvers for multiParametric linear and quadratic programming problems and their mixed-integer counter-parts, (b) a versatile problem generator capable of creating random multiParametric programming problems of arbitrary size, and (c) a comprehensive library of multiParametric programming test problems featuring benchmark test sets for multiParametric linear, quadratic, mixed-integer linear, and mixed-integer quadratic programming problems. In addition, POP is equipped with a graphical user interface which enables the user-friendly use of all functionalities of POP and a link to the solvers of the Multi-Parametric Toolbox (MPT), as well as the ability to design explicit MPC problems. These features are demonstrated in detailed computational studies providing insights into the versatility and applicability of POP. Additionally, the example of a period...
Maria M. Papathanasiou - One of the best experts on this subject based on the ideXlab platform.
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POP – Parametric Optimization Toolbox
Industrial & Engineering Chemistry Research, 2016Co-Authors: Richard Oberdieck, Nikolaos A. Diangelakis, Maria M. Papathanasiou, Ioana Nascu, Efstratios N. PistikopoulosAbstract:In this paper, we describe POP, a MATLAB toolbox for Parametric Optimization. It features (a) efficient implementations of multiParametric programming problem solvers for multiParametric linear and quadratic programming problems and their mixed-integer counter-parts, (b) a versatile problem generator capable of creating random multiParametric programming problems of arbitrary size, and (c) a comprehensive library of multiParametric programming test problems featuring benchmark test sets for multiParametric linear, quadratic, mixed-integer linear, and mixed-integer quadratic programming problems. In addition, POP is equipped with a graphical user interface which enables the user-friendly use of all functionalities of POP and a link to the solvers of the Multi-Parametric Toolbox (MPT), as well as the ability to design explicit MPC problems. These features are demonstrated in detailed computational studies providing insights into the versatility and applicability of POP. Additionally, the example of a period...
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pop Parametric Optimization toolbox
Industrial & Engineering Chemistry Research, 2016Co-Authors: Richard Oberdieck, Nikolaos A. Diangelakis, Maria M. Papathanasiou, Ioana Nascu, Efstratios N. PistikopoulosAbstract:In this paper, we describe POP, a MATLAB toolbox for Parametric Optimization. It features (a) efficient implementations of multiParametric programming problem solvers for multiParametric linear and quadratic programming problems and their mixed-integer counter-parts, (b) a versatile problem generator capable of creating random multiParametric programming problems of arbitrary size, and (c) a comprehensive library of multiParametric programming test problems featuring benchmark test sets for multiParametric linear, quadratic, mixed-integer linear, and mixed-integer quadratic programming problems. In addition, POP is equipped with a graphical user interface which enables the user-friendly use of all functionalities of POP and a link to the solvers of the Multi-Parametric Toolbox (MPT), as well as the ability to design explicit MPC problems. These features are demonstrated in detailed computational studies providing insights into the versatility and applicability of POP. Additionally, the example of a period...
Ioana Nascu - One of the best experts on this subject based on the ideXlab platform.
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POP – Parametric Optimization Toolbox
Industrial & Engineering Chemistry Research, 2016Co-Authors: Richard Oberdieck, Nikolaos A. Diangelakis, Maria M. Papathanasiou, Ioana Nascu, Efstratios N. PistikopoulosAbstract:In this paper, we describe POP, a MATLAB toolbox for Parametric Optimization. It features (a) efficient implementations of multiParametric programming problem solvers for multiParametric linear and quadratic programming problems and their mixed-integer counter-parts, (b) a versatile problem generator capable of creating random multiParametric programming problems of arbitrary size, and (c) a comprehensive library of multiParametric programming test problems featuring benchmark test sets for multiParametric linear, quadratic, mixed-integer linear, and mixed-integer quadratic programming problems. In addition, POP is equipped with a graphical user interface which enables the user-friendly use of all functionalities of POP and a link to the solvers of the Multi-Parametric Toolbox (MPT), as well as the ability to design explicit MPC problems. These features are demonstrated in detailed computational studies providing insights into the versatility and applicability of POP. Additionally, the example of a period...
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pop Parametric Optimization toolbox
Industrial & Engineering Chemistry Research, 2016Co-Authors: Richard Oberdieck, Nikolaos A. Diangelakis, Maria M. Papathanasiou, Ioana Nascu, Efstratios N. PistikopoulosAbstract:In this paper, we describe POP, a MATLAB toolbox for Parametric Optimization. It features (a) efficient implementations of multiParametric programming problem solvers for multiParametric linear and quadratic programming problems and their mixed-integer counter-parts, (b) a versatile problem generator capable of creating random multiParametric programming problems of arbitrary size, and (c) a comprehensive library of multiParametric programming test problems featuring benchmark test sets for multiParametric linear, quadratic, mixed-integer linear, and mixed-integer quadratic programming problems. In addition, POP is equipped with a graphical user interface which enables the user-friendly use of all functionalities of POP and a link to the solvers of the Multi-Parametric Toolbox (MPT), as well as the ability to design explicit MPC problems. These features are demonstrated in detailed computational studies providing insights into the versatility and applicability of POP. Additionally, the example of a period...