Blar i NTNU Open på forfatter "Foss, Bjarne Anton"
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Decentralized Decision Making in Multi-Agent Systems
Pedersen, Sindre Sønvisen (Master thesis, 2011)The literature in the feld of multi-agent manufacturing control predom-inantly presents qualitative arguments to motivate its usage. This workpresents quantitative meaning to some of these arguments. The work alsodiscusses ... -
Dual adaptive model predictive control
Heirung, Tor Aksel N.; Ydstie, Birger Erik; Foss, Bjarne Anton (Journal article; Peer reviewed, 2017)We present an adaptive dual model predictive controller (dmpc) that uses current and future parameter-estimation errors to minimize expected output error by optimally combining probing for uncertainty reduction with control ... -
Dynamic behaviour of an HMR pre-combustion gas power cycle
Zhao, Lei; Michelsen, Finn Are; Foss, Bjarne Anton; Aasen, Knut I (Journal article; Peer reviewed, 2010)This paper explores dynamics for control design of a Hydrogen Membrane Reformer (HMR) pre-combustion gas power cycle. For this type of reforming to be competitive to power generation with carbon ... -
Dynamic Estimation for Controlling a Subsea Production System - Virtual Flow Metering using B-spline Surrogate Models
Robertson, Patrick Michael (Master thesis, 2014)Knowledge of the flow rates from individual wells in a subsea production system can greatly improve decision-making processes. This thesis investigates flow estimation in the subsea template Tilje in the BP-operated Skarv ... -
Echo State Networks for data-driven downhole pressure estimation in gas-lift oil wells
Antonelo, Eric; Camponogara, Eduardo; Foss, Bjarne Anton (Journal article; Peer reviewed, 2017)Process measurements are of vital importance for monitoring and control of industrial plants. When we consider offshore oil production platforms, wells that require gas-lift technology to yield oil production from low ... -
Efficient optimization for Model Predictive Control in reservoir models
Borgesen, Jørgen Frenken (Master thesis, 2009)The purpose of this thesis was to study the use of adjoint methods for gradient calculations in Model Predictive Control (MPC) applications. The goal was to find and test efficient optimization methods to use in MPC on oil ... -
Efficient optimization in Model Predictive Control
Ringset, Ruben Køste (Master thesis, 2009)Adjoint based gradient calculation for Nonlinear Model Predictive Control. -
Emission Constrained Unit Commitment: Impacts of the Shale Gas Revolution
Wold, Einar (Master thesis, 2014)In view of global warming, the world is facing a common responsibility in terms of reducing its CO2 emissions. The extensive use of fossil fuels in the power industry is a significant source of carbon emissions, and in ... -
Ensemble Kalman Filtering for State and Parameter Estimation on a Reservoir Model
Jensen, John Petter (Master thesis, 2007)In reservoir management it is important with reservoir models that have good predictive abilities. Since the models initially are based on measurements with high uncertainties it is important to utilize new available data. ... -
Global optimization of multiphase flow networks using spline surrogate models
Grimstad, Bjarne André; Foss, Bjarne Anton; Heddle, Richard; Woodman, Malcolm (Journal article; Peer reviewed, 2016)A general modelling framework for optimization of multiphase flow networks with discrete decision variables is presented. The framework is expressed with the graph and special attention is given to the convexity properties ... -
Improving Scenario Decomposition for Multistage MPC using a Sensitivity-based Path-following Algorithm
Krishnamoorthy, Dinesh; Suwartadi, Eka; Foss, Bjarne Anton; Skogestad, Sigurd; Jäschke, Johannes (Journal article; Peer reviewed, 2018)This letter proposes a computationally efficient algorithm for robust multistage scenario model predictive control (MPC). In multistage scenario MPC, the evolution of uncertainty in the prediction horizon is represented ... -
Incipient Actuator Fault Handling in Nonlinear Model Predictive Control
Knudsen, Brage Rugstad; Faulwasser, Timm; Jones, Colin N.; Foss, Bjarne Anton (Journal article; Peer reviewed, 2017)This paper presents a reconfigurable nonlinear model predictive control (NMPC) scheme for handling of incipient actuator faults in nonlinear plants. The scheme seeks to ensure recoverability from an incipient actuator fault ... -
Introducing a MATLAB Toolbox for F-Lipschitz Optimization
Leithe, Maren Åshild (Master thesis, 2011)The theory of mathematical optimization is useful within a wide range of disciplines such as science, engineering, economics and industry. Application areas have been growing steadily, driving forward the development of ... -
Joint Optimization of Oil Well Placement and Controls
Bellout, Mathias Rodrigez; Ciaurri, David Echeverria; Durlofsky, Louis J.; Foss, Bjarne Anton; Kleppe, Jon (Journal article; Peer reviewed, 2012)Well placement and control optimization in oil field development are commonly performed in a sequential manner. In this work, we propose a joint approach that embeds well control optimization within the search for optimum ... -
Learning and Penalty Methods for the Feasibility Pump in Mixed Integer Nonlinear Programming
Langmyrlia, Kjetil (Master thesis, 2017). -
Mixed Integer Model Predictive Control of Multiple Shale Gas Wells
Nordsveen, Espen T (Master thesis, 2012)Horizontal wells with multistage hydraulic fracturing are today the most important drilling technology for shale gas extraction. Considered unprofitable before, the production has now become economically profitable due to ... -
Mixed-Integer Nonlinear Programming Heuristics Applied to a Shale Gas Production Optimization Problem
Sharma, Shaurya (Master thesis, 2013)Mixed-Integer nonlinear programs(MINLPs) are a general class of nonlinear optimization problems that have a wide array of real-world applications. These problems are in general notoriously difficult to solve, and it is ... -
Model Predictive Control of District Heating Systems
Rene, Anders Svenheim (Master thesis, 2016)A district heating system is a network of pipelines where heating is delivered to a number of customers from a centralized heating station. For the operators of these systems, the ideal operating scenario is to deliver ... -
Modeling and Dynamic Optimization in Oil Production
Nalum, Konstantin (Master thesis, 2013)The concept of Real-Time Production Optimization is a key for improving operational performance and productivity in the process industry. This includes utilization of computational technology, combining real-time measurements ... -
Modelling of Processes in Solar-Grade Silicon Production
Paulsen, Hanne (Master thesis, 2008)As the solar cell market is continuing to grow, the opportunities for silicon producers specifically targeting a product quality adjusted to solar cell applications have increased. To improve the possibilities for automatic ...