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Papers 11464
1 page of 1,147 pages (11.5k results)
Published on Feb 20, 2019in IFAC-PapersOnLine
Xiao Liu13
Estimated H-index: 13
(NUS: National University of Singapore),
Xiang Song8
Estimated H-index: 8
Published in IFAC-PapersOnLine
Hector Ramirez8
Estimated H-index: 8
Daniel Sbarbaro17
Estimated H-index: 17
(UdeC: University of Concepción),
Yann Le Gorrec (UFC: University of Franche-Comté)
Abstract Electrochemical processes have been developed for a wide range of applications such as, mineral refining, water purification, energy storage and generation. The development of models to describe these processes is very important for their analysis, optimization and operation. The framework of irreversible port-Hamiltonian systems has proven to be an important tool to analyze and integrate thermal models with models of different domains. This work discusses the modeling of non-isothermal...
Published on Jan 1, 2019in IFAC-PapersOnLine
Jin I. Ge5
Estimated H-index: 5
(California Institute of Technology),
Richard M. Murray75
Estimated H-index: 75
(California Institute of Technology)
Abstract In this work, we propose control improvisation to synthesize voluntary lane-change policy that meets human preferences under given traffic environments. We first train Markov models to describe the lane-change environment for an automated vehicle under assumed traffic patterns. Parameters in the environment model are trained using traffic data and calibrated using control improvisation. Then, based on human lane-change behavior, we train a voluntary lane-change policy using explicit-dur...
Published on Jan 1, 2019in IFAC-PapersOnLine
S. Hørsholt1
Estimated H-index: 1
(DTU: Technical University of Denmark),
Hamid Nick (DTU: Technical University of Denmark), John Bagterp Jørgensen22
Estimated H-index: 22
(DTU: Technical University of Denmark)
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...
Published on Jan 1, 2019in IFAC-PapersOnLine
Clément Tréangle (UNICAEN: University of Caen Lower Normandy), Mondher Farza20
Estimated H-index: 20
(UNICAEN: University of Caen Lower Normandy),
M. M’Saad5
Estimated H-index: 5
(UNICAEN: University of Caen Lower Normandy)
Abstract This paper provides a simple high gain continuous-discrete time observer to handle the estimation problem of the reaction rates in bioreactors using delayed sampled measurements of the component concentrations in the context of multirate sampling of the outputs each one of which is affected by a constant delay The rational behind the proposed observer design consists in the consideration of an appropriate corrective term provided by a linear Delay Differential Equation (DDE), which acco...
Published on Jan 1, 2019in IFAC-PapersOnLine
Matthew Hilliard2
Estimated H-index: 2
(AU: Auburn University),
Q. Peter He11
Estimated H-index: 11
(AU: Auburn University),
Jin Wang18
Estimated H-index: 18
(AU: Auburn University)
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...
Published on Jan 1, 2019in IFAC-PapersOnLine
Iiro Harjunkoski27
Estimated H-index: 27
(Ladenburg Thalmann)
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 ...