Blar i NTNU Open på forfatter "Imsland, Lars Struen"
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Block factorization of step response model predictive control problems
Kufoalor, D. Kwame Minde; Frison, Gianluca; Imsland, Lars Struen; Johansen, Tor Arne; Jørgensen, JB (Journal article; Peer reviewed, 2017)By introducing a stage-wise prediction formulation that enables the use of highly efficient quadratic programming (QP) solution methods, this paper expands the computational toolbox for solving step response MPC problems. ... -
Campaign-based modeling for degradation evolution in batch processes using a multiway partial least squares approach
Wu, Ouyang; Bouaswaig, Ala; Imsland, Lars Struen; Schneider, Stefan; Roth, Matthias; Moreno Leira, Fernando (Journal article; Peer reviewed, 2019)In the process industry, various types of degradation occur in processing plants, resulting in significant economic losses. Modeling of degradation is important because it provides quantitative insights for consideration ... -
Cautious optimization - based with Machine Learning
Bargen, Robin von (Master thesis, 2020)Model Predictive Control (MPC) algoritmer har blitt en utbredt teknikk innen industriell kontrol. I de senere årene har MPC drevne kontrollere utvidet sitt virkeomr åde og er å finne innen stadig nye forskningsfelt, som ... -
Combined Optimal Control and Combinatorial Optimization for Searching and Tracking Using an Unmanned Aerial Vehicle
Albert, Anders; Imsland, Lars Struen (Journal article; Peer reviewed, 2018)Combined searching and tracking of objects using Unmanned Aerial Vehicles (UAVs) is an important task with many applications. One way to approach this task is to formulate path-planning as a continuous optimal control ... -
Comparison of statistical iceberg forecast models
Andersson, Leif Erik; Scibilia, Francesco; Copland, Luke; Imsland, Lars Struen (Journal article; Peer reviewed, 2018)Short-term iceberg drift prediction is challenging. Large uncertainties in the driving forces – current, wind and waves – usually prevent accurate forecasts. Recently several statistical iceberg forecast models have been ... -
Constrained Posterior Cramér-Rao Bound for Discrete-Time Systems
Andersson, Leif Erik; Brekke, Edmund Førland; Imsland, Lars Struen; Scibilia, Francesco (Journal article, 2017)This article presents a Cramér-Rao lower bound for the discrete-time filtering problem under linear state constraints. A simple recursive algorithm is presented that extends the computation of the Cramér-Rao lower bound ... -
Coordinated Control of Multiple HVDC links using backstepping
Ersdal, Anne Mai; Imsland, Lars Struen; Uhlen, Kjetil (Journal article, 2012)This article regards a power system containing multiple High Voltage Direct Current (HVDC) links. The topic is to exploit the HVDC lines’ ability to control the power supplied by them to increase the stability of the system. ... -
Data pre-processing and optimization techniques for stochastic and deterministic low-order grey-box models of residential buildings
Yu, Xingji; Georges, Laurent; Imsland, Lars Struen (Journal article; Peer reviewed, 2021)Grey-box models are data-driven models where the structure is defined by the physics while the parameters are calibrated using data. Low-order grey-box models of the building envelope are typically used for two main ... -
Data-driven degradation model for batch processes: a case study on heat exchanger fouling
Wu, Ouyang; Bouaswaig, Ala; Schneider, Stefan; Leira, Fernando; Imsland, Lars Struen; Roth, Matthias (Journal article; Peer reviewed, 2018) -
Data-driven derivative-free trust-region model-based method for resource allocation problems
Andersen, Joakim Rostrup; Imsland, Lars Struen; Pavlov, Alexey (Peer reviewed; Journal article, 2023)Allocating a limited available resource between a set of units is a problem that arises in several application areas. We propose an online derivative-free trust-region model-based method to tackle a fairly general version ... -
Data-Driven Reservoir Modeling: Application of Proxy Models in Reservoir Management
Ng, Cuthbert Shang Wui (Doctoral theses at NTNU;2023:183, Doctoral thesis, 2023)This Ph.D. thesis consists of 8 papers that summarize the main contents of the research work done over the past 3 years. Due to the ability of machine learning (ML) in capturing high nonlinearity, the thesis mainly touches ... -
Design and Experimental Validation of Nonlinear Infinite-Dimensional Adaptive Observer in Automated Managed Pressure Drilling
Hasan, Agus Ismail; Imsland, Lars Struen; Hauge, Espen (Journal article; Peer reviewed, 2017)Utilizing flow rate and pressure data in and out of the fluid circulation loop provides a driller with real-time trends for early detection of well-control problems that impact the drilling efficiency. Due to limited number ... -
Design and Implementation of a Simulation System for Vertical and Directional Drilling in an Autonomous Miniature Drilling Rig
Sundseth, Mads; Tjåland, Tor Arne (Master thesis, 2020)Digitalisering og automatisering av prosesser har i flere bransjer hatt stor påvirkning, særlig over de siste årene. Selv om R&D har utviklet en rekke før manuelle prosesser til å nå bli autonome, gjelder dette fortsatt ... -
Design and Implementation of a Simulation System for Vertical and Directional Drilling in an Autonomous Miniature Drilling Rig
Tjåland, Tor Arne; Sundseth, Mads (Master thesis, 2020)Digitalisering og automatisering av prosesser har i flere bransjer hatt stor påvirkning, særlig over de siste årene. Selv om R&D har utviklet en rekke før manuelle prosesser til å nå bli autonome, gjelder dette fortsatt ... -
Developing a Hybrid Data-Driven, Mechanistic Virtual Flow Meter - a Case Study
Hotvedt, Mathilde; Grimstad, Bjarne Andre; Imsland, Lars Struen (Peer reviewed; Journal article, 2021)Virtual flow meters, mathematical models predicting production flow rates in petroleum assets, are useful aids in production monitoring and optimization. Mechanistic models based on first-principles are most common, however, ... -
Distributed learning for wind farm optimization with Gaussian processes
Andersson, Leif Erik; Bradford, Eric; Imsland, Lars Struen (Journal article; Peer reviewed, 2020) -
DrillFeel - Haptic Feedback for Enhancing Drillers Situational Awareness
Ødegård, Olav (Master thesis, 2023)Offshore drilling er en risikofylt operasjon med potensielt dødelige konsekvenser hvis et system svikter eller operatøren mister situasjonsbevisstheten og derfor gjør feil. Dagens løsninger for drilling og boring innebærer ... -
Drillstring Washout Diagnosis using Friction Estimation and Statistical Change Detection
Willersrud, Anders; Blanke, Mogens; Imsland, Lars Struen; Pavlov, Alexey K. (Journal article; Peer reviewed, 2015)In oil and gas drilling, corrosion or tensile stress can give small holes in the drillstring, which can cause leakage and prevent sufficient flow of drilling fluid. If such \emph{washout} remains undetected and develops, ... -
Dynamic Real-Time Optimisation of a CO2 Capture Facility
Hotvedt, Mathilde; Hauger, Svein Olav; Gjertsen, Fredrik; Imsland, Lars Struen (Journal article; Peer reviewed, 2019)This work investigates economic optimisation of an energy-intensive amine regeneration process in a post-combustion CO2 capture plant, subject to a minimum CO2 capture ratio over 24 hours. A Dynamic Real-Time Optimisation ... -
Early pack-off diagnosis in drilling using an adaptive observer and statistical change detection
Willersrud, Anders; Imsland, Lars Struen; Blanke, Mogens (Journal article, 2015)Pack-off is a partially or complete blocking of the circulation flow in oil and gas drilling, which can lead to costly delays. Early detection and localization of a pack-off is crucial in order to take necessary actions ...