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ORCIDLars Imsland
Lars Struen Imsland
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- affiliation: Norwegian University of Science and Technology
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2020 – today
- 2024
[j33]Jonas Ekeland Kittelsen, Eric Aislan Antonelo
, Eduardo Camponogara, Lars Struen Imsland:
Physics-Informed Neural Networks with skip connections for modeling and control of gas-lifted oil wells. Appl. Soft Comput. 158: 111603 (2024)- [j32]Luis Fernando Nazari, Eduardo Camponogara, Lars Struen Imsland, Laio Oriel Seman:
Neural networks informed by physics for modeling mass flow rate in a production wellbore. Eng. Appl. Artif. Intell. 128: 107528 (2024) - [i16]Jonas Ekeland Kittelsen, Eric Aislan Antonelo, Eduardo Camponogara, Lars Struen Imsland:
Physics-Informed Neural Networks with Skip Connections for Modeling and Control of Gas-Lifted Oil Wells. CoRR abs/2403.02289 (2024) - [i15]Kiet Tuan Hoang, Brage Rugstad Knudsen, Lars Struen Imsland:
Complementarity-constrained predictive control for efficient gas-balanced hybrid power systems. CoRR abs/2404.06813 (2024) - [i14]Bjarne A. Grimstad, Kristian Løvland, Lars Struen Imsland, Vidar Gunnerud:
A deep latent variable model for semi-supervised multi-unit soft sensing in industrial processes. CoRR abs/2407.13310 (2024) - [i13]Kristian Løvland, Bjarne A. Grimstad, Lars Struen Imsland:
An updated look on the convergence and consistency of data-driven dynamical models. CoRR abs/2409.04120 (2024) - 2023
- [j31]Cuthbert Shang Wui Ng, Menad Nait Amar, Ashkan Jahanbani Ghahfarokhi, Lars Struen Imsland:
A Survey on the Application of Machine Learning and Metaheuristic Algorithms for Intelligent Proxy Modeling in Reservoir Simulation. Comput. Chem. Eng. 170: 108107 (2023) - [j30]Andrea Tuveri, Caroline S. M. Nakama, José Matias, Haakon Eng Holck, Johannes Jäschke, Lars Imsland, Nadav Bar:
A regularized Moving Horizon Estimator for combined state and parameter estimation in a bioprocess experimental application. Comput. Chem. Eng. 172: 108183 (2023) - [j29]Joakim Rostrup Andersen, Lars Imsland, Alexey Pavlov:
Data-driven derivative-free trust-region model-based method for resource allocation problems. Comput. Chem. Eng. 176: 108282 (2023) - [j28]Amir Masoud Molaei, Amirhossein Nikoofard, Ali Khaki-Sedigh, Lars Imsland:
Parameter and State Estimation of Managed Pressure Drilling System Using the Optimization-Based Supervisory Framework. IEEE Trans. Control. Syst. Technol. 31(6): 2937-2944 (2023) - [c47]Kiet Tuan Hoang, Brage Rugstad Knudsen, Lars Imsland:
Reference optimisation of uncertain offshore hybrid power systems with multi-stage nonlinear model predictive control. ACC 2023: 1251-1257 - [c46]Trym Arve L. Gabrielsen, Lars Imsland:
Progressor Transformation of Dynamical Systems and Application to Dynamic Optimization*. CCTA 2023: 496-501 - [i12]Bjarne A. Grimstad, Kristian Løvland, Lars Struen Imsland:
Multi-unit soft sensing permits few-shot learning. CoRR abs/2309.15828 (2023) - [i11]Marta A. Zagorowska, Lukas Ortmann, Alisa Rupenyan, Mehmet Mercangöz, Lars Imsland:
Tuning of Online Feedback Optimization for setpoint tracking in centrifugal compressors. CoRR abs/2312.01996 (2023) - 2022
- [j27]Jean Panaioti Jordanou, Iver Osnes, Sondre B. Hernes, Eduardo Camponogara, Eric Aislan Antonelo, Lars Imsland:
Nonlinear Model Predictive Control of Electrical Submersible Pumps based on Echo State Networks. Adv. Eng. Informatics 52: 101553 (2022) - [j26]Otávio Fonseca Ivo, Lars Struen Imsland:
Framework for produced water discharge management with flow-weighted mean concentration based economic model predictive control. Comput. Chem. Eng. 157: 107604 (2022) - [j25]Mathilde Hotvedt, Bjarne A. Grimstad, Lars Struen Imsland:
Passive learning to address nonstationarity in virtual flow metering applications. Expert Syst. Appl. 210: 118382 (2022) - [i10]Mathilde Hotvedt, Bjarne A. Grimstad, Lars Imsland:
Passive learning to address nonstationarity in virtual flow metering applications. CoRR abs/2202.03236 (2022) - [i9]Kristian Løvland, Bjarne A. Grimstad, Lars Struen Imsland:
Adjustment formulas for learning causal steady-state models from closed-loop operational data. CoRR abs/2211.05613 (2022) - 2021
- [j24]Bjarne A. Grimstad, Mathilde Hotvedt, Anders T. Sandnes, Odd Kolbjørnsen, Lars Struen Imsland:
Bayesian neural networks for virtual flow metering: An empirical study. Appl. Soft Comput. 112: 107776 (2021) - [j23]Ouyang Wu, Giancarlo Dalle Ave, Iiro Harjunkoski, Lars Imsland:
A rolling horizon approach for scheduling of multiproduct batch production and maintenance using generalized disjunctive programming models. Comput. Chem. Eng. 148: 107268 (2021) - [c45]Esten Ingar Grøtli, Joakim Haugen, Tor Arne Johansen, Lars Imsland:
Adaptive sampling for UAV sensor network in oil spill management. ACC 2021: 1515-1522 - [i8]Bjarne A. Grimstad, Mathilde Hotvedt, Anders T. Sandnes, Odd Kolbjørnsen, Lars Struen Imsland:
Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study. CoRR abs/2102.01391 (2021) - [i7]Mathilde Hotvedt, Bjarne A. Grimstad, Dag Ljungquist, Lars Imsland:
On gray-box modeling for virtual flow metering. CoRR abs/2103.12513 (2021) - [i6]Eric Bradford, Lars Imsland, Marcus Reble, Ehecatl Antonio del Rio-Chanona:
Hybrid Gaussian Process Modeling Applied to Economic Stochastic Model Predictive Control of Batch Processes. CoRR abs/2108.06430 (2021) - [i5]Mathilde Hotvedt, Bjarne A. Grimstad, Dag Ljungquist, Lars Imsland:
When is gray-box modeling advantageous for virtual flow metering? CoRR abs/2110.05034 (2021) - 2020
- [j22]Ouyang Wu, Giancarlo Dalle Ave, Iiro Harjunkoski, Ala E. F. Bouaswaig, Stefan Marco Schneider, Matthias Roth, Lars Imsland:
Optimal production and maintenance scheduling for a multiproduct batch plant considering degradation. Comput. Chem. Eng. 135: 106734 (2020) - [j21]Eric Bradford, Lars Imsland, Dongda Zhang, Ehecatl Antonio del Rio-Chanona:
Stochastic data-driven model predictive control using gaussian processes. Comput. Chem. Eng. 139: 106844 (2020) - [j20]Frederik Schulze Spüntrup, Giancarlo Dalle Ave, Lars Imsland, Iiro Harjunkoski:
Optimal Maintenance for Degrading Assets in the Context of Asset Fleets-A Case Study. Frontiers Appl. Math. Stat. 6: 528181 (2020) - [c44]Leif Erik Andersson, Eric Christopher Bradford, Lars Imsland:
Distributed learning for wind farm optimization with Gaussian processes. ACC 2020: 4058-4064 - [c43]Joakim Rostrup Andersen, Thiago Lima Silva, Lars Imsland, Alexey Pavlov:
Real time optimization of systems with fast and slow dynamics using a lookahead strategy. CDC 2020: 2342-2349 - [c42]Amir Masoud Molaei, Amir Hossein Nikoofard, Ali Khaki-Sedigh, Lars Imsland:
Managed Pressure Drilling System State Estimation Using The Multiple Model Adaptive Estimation Approach. ECC 2020: 985-990 - [i4]Mathilde Hotvedt, Bjarne A. Grimstad, Lars Imsland:
Developing a Hybrid Data-Driven, Mechanistic Virtual Flow Meter - a Case Study. CoRR abs/2002.02737 (2020) - [i3]Leif Erik Andersson, Bart M. Doekemeijer, Daan C. van der Hoek, Jan-Willem van Wingerden, Lars Imsland:
Adaptation of Engineering Wake Models using Gaussian Process Regression and High-Fidelity Simulation Data. CoRR abs/2003.13323 (2020) - [i2]Mathilde Hotvedt, Bjarne A. Grimstad, Lars Imsland:
Identifiability and interpretability of hybrid, gray-box models. CoRR abs/2010.13416 (2020)
2010 – 2019
- 2019
- [j19]Leif Erik Andersson, Lars Imsland, Edmund Førland Brekke, Francesco Scibilia:
On Kalman filtering with linear state equality constraints. Autom. 101: 467-470 (2019) - [j18]Eric Bradford, Lars Imsland:
Output feedback stochastic nonlinear model predictive control for batch processes. Comput. Chem. Eng. 126: 434-450 (2019) - [j17]Ouyang Wu, Ala E. F. Bouaswaig, Lars Imsland, Stefan Marco Schneider, Matthias Roth, Fernando Moreno Leira:
Campaign-based modeling for degradation evolution in batch processes using a multiway partial least squares approach. Comput. Chem. Eng. 128: 117-127 (2019) - [j16]Anders Albert, Lars Imsland:
Combined Optimal Control and Combinatorial Optimization for Searching and Tracking Using an Unmanned Aerial Vehicle. J. Intell. Robotic Syst. 95(2): 691-706 (2019) - [c41]Eric Bradford, Lars Imsland, Ehecatl Antonio del Rio-Chanona:
Nonlinear model predictive control with explicit back-offs for Gaussian process state space models. CDC 2019: 4747-4754 - [c40]Eric Bradford, Marcus Reble, Lars Imsland:
Output feedback stochastic nonlinear model predictive control of a polymerization batch process. ECC 2019: 3144-3151 - [i1]Eric Bradford, Lars Imsland, Dongda Zhang, Ehecatl Antonio del Rio-Chanona:
Stochastic data-driven model predictive control using Gaussian processes. CoRR abs/1908.01786 (2019) - 2018
- [c39]Eric Bradford, Lars Imsland:
Stochastic Nonlinear Model Predictive Control Using Gaussian Processes. ECC 2018: 1027-1034 - 2017
- [j15]Ivan Ganchev Ivanov, Lars Imsland, Boryana C. Bogdanova:
Iterative algorithms for computing the feedback Nash equilibrium point for positive systems. Int. J. Syst. Sci. 48(4): 729-737 (2017) - [c38]Leif Erik Andersson, Muhammad Faisal Aftab, Francesco Scibilia, Lars Imsland:
Forecasting using multivariate empirical mode decomposition - Applied to iceberg drift forecast. CCTA 2017: 1097-1103 - [c37]D. Kwame Minde Kufoalor, Stefan Richter, Lars Imsland, Tor Arne Johansen:
Structure exploitation of practical MPC formulations for speeding up first-order methods. CDC 2017: 1912-1918 - [c36]Lars Imsland:
Partially distributed optimization for mobile sensor path-planning. CDC 2017: 3101-3106 - 2016
- [j14]Johannes Philippus Maree, Lars Imsland:
Combined economic and regulatory predictive control. Autom. 69: 342-347 (2016) - [j13]D. Kwame Minde Kufoalor, Lars Imsland, Tor Arne Johansen:
Efficient implementation of step response models for embedded Model Predictive Control. Comput. Chem. Eng. 90: 121-135 (2016) - [j12]Johannes Philippus Maree, Lars Imsland, Jérôme Jouffroy:
On convergence of the unscented Kalman-Bucy filter using contraction theory. Int. J. Syst. Sci. 47(8): 1816-1827 (2016) - [j11]Joakim Haugen, Lars Imsland:
Monitoring Moving Objects Using Aerial Mobile Sensors. IEEE Trans. Control. Syst. Technol. 24(2): 475-486 (2016) - [c35]Leif Erik Andersson, Francesco Scibilia, Lars Imsland:
Estimation of systems with oscillating inputs - applied to iceberg drift forecast. CCA 2016: 940-947 - [c34]D. Kwame Minde Kufoalor, Lars Imsland, Tor Arne Johansen:
Efficient quadratic programming frameworks for industrial embedded model predictive control. ECC 2016: 602 - [c33]Leif Erik Andersson, Francesco Scibilia, Lars Imsland:
The moving horizon estimator used in iceberg drift estimation and Forecast. ECC 2016: 1271-1277 - [c32]Agus Hasan, Lars Imsland, Ivan Ganchev Ivanov, Snezhana Kostova, Boryana C. Bogdanova:
Optimal boundary control of 2 × 2 linear hyperbolic PDEs. MED 2016: 164-169 - 2015
- [j10]Anders Willersrud, Mogens Blanke, Lars Imsland, Alexey Pavlov:
Drillstring Washout Diagnosis Using Friction Estimation and Statistical Change Detection. IEEE Trans. Control. Syst. Technol. 23(5): 1886-1900 (2015) - [j9]Joakim Haugen, Lars Imsland:
Monitoring an Advection-Diffusion Process Using Aerial Mobile Sensors. Unmanned Syst. 3(3): 221-238 (2015) - [c31]D. Kwame Minde Kufoalor, B. J. T. Binder, Hans Joachim Ferreau, Lars Imsland, Tor Arne Johansen, Moritz Diehl:
Automatic deployment of industrial embedded model predictive control using qpOASES. ECC 2015: 2601-2608 - [c30]Anders Albert, Lars Imsland:
Mobile Sensor Path Planning for Iceberg Monitoring using a MILP Framework. ICINCO (1) 2015: 131-138 - 2014
- [c29]Johannes Philippus Maree, Lars Imsland:
Optimal control strategies for oil production under gas coning conditions. CCA 2014: 572-578 - [c28]Agus Hasan, Lars Imsland:
Moving horizon estimation in managed pressure drilling using distributed models. CCA 2014: 605-610 - [c27]Gianluca Frison, D. Kwame Minde Kufoalor, Lars Imsland, John Bagterp Jørgensen:
Efficient implementation of solvers for linear model predictive control on embedded devices. CCA 2014: 1954-1959 - [c26]Torstein Thode Kristoffersen, Dagfinn Snarheim, Lars Imsland, Marius Store Govatsmark:
Optimal and robust production of high pressure steam. ECC 2014: 491-497 - [c25]Ralf Hannemann-Tamás, Lars Struen Imsland:
Full algorithmic differentiation of a Rosenbrock-type method for direct single shooting. ECC 2014: 1242-1248 - [c24]D. Kwame Minde Kufoalor, Stefan Richter, Lars Imsland, Tor Arne Johansen, Manfred Morari, Gisle Otto Eikrem:
Embedded Model Predictive Control on a PLC using a primal-dual first-order method for a subsea separation process. MED 2014: 368-373 - 2013
- [c23]Joakim Haugen, Lars Imsland:
Optimization-based autonomous remote sensing of surface objects using an unmanned aerial vehicle. ECC 2013: 1242-1249 - [c22]Johannes Philippus Maree, Lars Imsland:
Multi-objective Predictive Control for non steady-state operation. ECC 2013: 1541-1546 - [c21]Anders Willersrud, Lars Imsland:
Fault diagnosis in managed pressure drilling using nonlinear adaptive observers. ECC 2013: 1946-1951 - [c20]Johannes Philippus Maree, Lars Imsland, Jérôme Jouffroy:
A convergence result for the unscented Kalman-Bucy filter using contraction theory. ECC 2013: 2134-2139 - [c19]Anne Mai Ersdal, Ines M. Cecilio, Davide Fabozzi, Lars Imsland, Nina F. Thornhill:
Applying model predictive control to power system frequency control. ISGT Europe 2013: 1-5 - 2012
- [c18]Lars Imsland, Glenn-Ole Kaasa:
Adaptive approximation-based estimation of downhole pressure in managed pressure drilling. CCA 2012: 104-111 - [c17]Joakim Haugen, Esten Ingar Grøtli, Lars Imsland:
State estimation of ice thickness distribution using mobile sensors. CCA 2012: 336-343 - [c16]Anne Mai Ersdal, Lars Imsland, Kjetil Uhlen:
Coordinated control of multiple HVDC links using backstepping. CCA 2012: 1118-1123 - 2011
- [c15]Radek Horalek, Lars Imsland:
Nonlinear model predictive control of a benchmark nonlinear boiler. ICAT 2011: 1-6 - 2010
- [j8]Håvard Fjær Grip, Tor Arne Johansen, Lars Imsland, Glenn-Ole Kaasa:
Parameter estimation and compensation in systems with nonlinearly parameterized perturbations. Autom. 46(1): 19-28 (2010)
2000 – 2009
- 2009
- [c14]Håvard Fjær Grip, Lars Imsland, Tor Arne Johansen, Jens Kalkkuhl, Avshalom Suissa:
Estimation of road inclination and bank angle in automotive vehicles. ACC 2009: 426-432 - [c13]Dagfinn Snarheim, Lars Imsland, Bjarne A. Foss:
Active control of oxy-fuel combustion using preflame CO2-injection. ECC 2009: 4169-4174 - 2008
- [j7]Håvard Fjær Grip, Lars Imsland, Tor Arne Johansen, Thor I. Fossen, Jens Kalkkuhl, Avshalom Suissa:
Nonlinear vehicle side-slip estimation with friction adaptation. Autom. 44(3): 611-622 (2008) - [j6]Lars Imsland, J. Anthony Rossiter, Bert Pluymers, Johan A. K. Suykens:
Robust triple mode MPC. Int. J. Control 81(4): 679-689 (2008) - 2007
- [j5]Lars Imsland, Tor Arne Johansen, Håvard Fjær Grip, Thor I. Fossen:
On non-linear unknown input observers-applied to lateral vehicle velocity estimation on banked roads. Int. J. Control 80(11): 1741-1750 (2007) - 2006
- [j4]Lars Imsland, Tor Arne Johansen, Thor I. Fossen, Håvard Fjær Grip, Jens Kalkkuhl, Avshalom Suissa:
Vehicle velocity estimation using nonlinear observers. Autom. 42(12): 2091-2103 (2006) - [c12]Lars Imsland, J. Anthony Rossiter, Bert Pluymers, Johan A. K. Suykens:
Robust triple mode MPC. ACC 2006 - [c11]Rambabu Kandepu, Bjarne A. Foss, Lars Imsland:
Integrated modeling and control of a load-connected SOFC-GT autonomous power system. ACC 2006: 1-6 - [c10]Håvard Fjær Grip, Lars Imsland, Tor Arne Johansen, Thor I. Fossen, Jens C. Kalkkuhl, Avshalom Suissa:
Nonlinear Vehicle Velocity Observer with Road-Tire Friction Adaptation. CDC 2006: 3603-3608 - 2005
- [j3]Lars Imsland, Nadav S. Bar, Bjarne A. Foss:
More efficient predictive control. Autom. 41(8): 1395-1403 (2005) - [c9]Lars Imsland, Tor Arne Johansen, Thor I. Fossen, Jens C. Kalkkuhl, Avshalom Suissa:
Vehicle Velocity Estimation using Modular Nonlinear Observers. CDC/ECC 2005: 6728-6733 - 2004
- [c8]Lars Imsland, Nadav S. Bar, Bjame A. Foss:
A new algorithm for efficient MPC and a comparison with competing schemes. ACC 2004: 222-227 - 2003
- [j2]Rolf Findeisen, Lars Imsland, Frank Allgöwer:
State and Output Feedback Nonlinear Model Predictive Control: An Overview. Eur. J. Control 9(2-3): 190-206 (2003) - [c7]Lars Imsland, Rolf Findeisen, Frank Allgöwer, Bjarne A. Foss:
Output feedback stabilization with nonlinear predictive control: asymptotic properties. ACC 2003: 4908-4913 - [c6]Rolf Findeisen, Lars Imsland, Frank Allgöwer, Bjame A. Foss:
Stability conditions for observer based output feedback stabilization with nonlinear model predictive control. CDC 2003: 1425-1430 - [c5]Stian Drageset, Lars Imsland, Bjarne A. Foss:
Efficient model predictive control with prediction dynamics. ECC 2003: 1087-1092 - [c4]Rolf Findeisen, Lars Imsland, Frank Allgöwer, Bjarne A. Foss:
Output-feedback nonlinear model predictive control using high-gain observers in original coordinates. ECC 2003: 2014-2019 - [c3]Lars Imsland, Bjarne A. Foss, Gisle Otto Eikrem:
State feedback control of a class of positive systems: Application to gas-lift stabilization. ECC 2003: 2499-2504 - [c2]Lars Imsland, Bjarne A. Foss:
State Feedback Set Stabilization for a Class of Nonlinear Systems. POSTA 2003: 337-344 - 2002
- [j1]Lars Imsland:
Discussion on: Robust Controller Design for Uncertain Nonlinear Systems via Fuzzy Modelling Approach with Application to the Stabilization of Power Systems. Eur. J. Control 8(6): 551-552 (2002) - 2001
- [c1]Lars Imsland, Olav Slupphaug, Bjarne A. Foss:
Piecewise affine observer-based robust controllers for constrained nonlinear systems. ECC 2001: 1876-1881
Coauthor Index
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