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#1Xiao Liu (NUS: National University of Singapore)H-Index: 14
#2Xiang SongH-Index: 9
#1Dhruv Gupta (UW: University of Wisconsin-Madison)H-Index: 3
#2Christos T. Maravelias (UW: University of Wisconsin-Madison)H-Index: 36
Abstract We present a framework to study quality of schedules obtained iteratively and online (real-time) in the presence of demand uncertainty Using this framework, we carry out a computational study, and make interesting observations. First, we find that uncertainty plays a less important role as a manufacturing facility is operated close to capacity. Second, the choice of the horizon for the online iterations, is dependent on the mean load, but independent of the accuracy of the forecasts. Fi...
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#1Claudia Califano (Sapienza University of Rome)H-Index: 11
#2Hiroshi Ito (Kyushu Institute of Technology)H-Index: 21
Last.Christophe Prieur (CNRS: Centre national de la recherche scientifique)H-Index: 27
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Abstract This contribution aims at making an overview of the most recent activities/contributions in education in the control field by members of the Technical Committee Nonlinear Systems, in order to share the best practices and ideas in the community, as well as to investigate into the level of awareness, interest and involvement of the TC members in several aspects concerning education.
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#1Alex F. Teixeira (Petrobras)H-Index: 6
#2Argimiro Resende Secchi (UFRJ: Federal University of Rio de Janeiro)H-Index: 15
Abstract Traditionally, numerical simulators are used in combination with an optimization algorithm to determine optimum controls that maximize total oil production or net present value (NPV) over the life of the reservoir. These simulators are complex dynamic models that consider geological information, rock and fluid properties, as well as information about the completion of the wells. This complexity results in a high computational time and pose a challenge for the application of gradient-bas...
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#1Iiro Harjunkoski (Ladenburg Thalmann)H-Index: 28
Abstract Energy storage systems are becoming critical in the future along the increasing renewable energy generation. Their role is central in balancing unexpected deviations in the electricity production and consumption in order to help maintaining the stability of the power system. Similar benefits can be also drawn from demand-side management solutions, where the consumers adapt their short- or mid-term energy needs according to the price and availability of electricity. This paper discusses ...
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#1Gustavo A. de Andrade (UFSC: Universidade Federal de Santa Catarina)H-Index: 5
#2José G. García-Clúa (UNLP: National University of La Plata)
Last.Julio E. Normey-Rico (UFSC: Universidade Federal de Santa Catarina)H-Index: 27
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Abstract This paper deals with the optimal control of a H 2 production system supplied by a photovoltaic solar energy and assisted by the grid. For that, we propose a simple dynamic model accounting for the main features of the system, where the electrolizer current is used as the control variable, and we obtain the control law that optimizes the grid energy consumption despites the solar energy variability An important constraint on the obtained solution is the physical limits of the hydrogen s...
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#1Steen HørsholtH-Index: 1
#2Hamid NickH-Index: 1
Last.John Bagterp JørgensenH-Index: 24
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Abstract The large-scale optimization problems that arise from oil production optimization under geological uncertainty of industry-scale reservoir models poses a challenge even for modern computer architecture. In combination with ensemble-based methods for production optimization under uncertainty, gradient-based optimization algorithms provides a powerful approach that ensures a high convergence rate. However, the spatial resolution and complexity of typical industry-scale models has a signif...
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#1Carles Batlle Arnau (UPC: Polytechnic University of Catalonia)H-Index: 15
#2Nestor Roqueiro (UFSC: Universidade Federal de Santa Catarina)H-Index: 3
Abstract We provide an analytical framework for balanced realization model order reduction of linear control systems which depend on an unknown parameter. Besides recovering known results for the first order corrections, we obtain explicit novel expressions for the form of second order corrections for singular values and singular vectors. The final result of our procedure is an order reduced model which incorporates the uncertain parameter. We apply our algorithm to a system of masses and spring...
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#1Matthew Hilliard (AU: Auburn University)H-Index: 2
#2Q. Peter He (AU: Auburn University)H-Index: 13
Last.Jin Wang (AU: Auburn University)H-Index: 19
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Abstract Genome-scale metabolic network models (GEMs) have been applied successfully in many applications, and one important application is to predict different growth phenotypes in various genetic and environmental conditions. Phenotype phase plane (PhPP) analysis is a powerful tool that uses flux balance analysis (FBA) with the GEM to provide a global perspective on the genotype-phenotype relationship, which relies on shadow prices of different metabolites to characterize different metabolic p...
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#1Devarshi Shah (AU: Auburn University)H-Index: 2
#2Jin Wang (AU: Auburn University)H-Index: 19
Last.Q. Peter He (AU: Auburn University)H-Index: 13
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Abstract The emergence of the industrial Internet of Things (IoT) and ever advancing computing and communication technologies have fueled a new industrial revolution which is happening worldwide to make current manufacturing systems smarter, safer, and more efficient. Although many general frameworks have been proposed for IoT enabled systems for industrial application, there is limited literature on demonstrations or testbeds of such systems. In addition, there is a lack of systematic study on ...
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