Piecewise affine observer-based robust controllers for constrained nonlinear systems. - Lars Imsland; Olav Slupphaug; Bjarne A. Foss (ECC, 2001)

Discussion on: Robust Controller Design for Uncertain Nonlinear Systems via Fuzzy Modelling Approach with Application to the Stabilization of Power Systems. - Lars Imsland (Eur. J. Control, 2002)

Output feedback stabilization with nonlinear predictive control: asymptotic properties. - Lars Imsland; Rolf Findeisen; Frank Allgöwer; Bjarne A. Foss (ACC, 2003)

Stability conditions for observer based output feedback stabilization with nonlinear model predictive control. - Rolf Findeisen; Lars Imsland; Frank Allgöwer; Bjame A. Foss (CDC, 2003)

Efficient model predictive control with prediction dynamics. - Stian Drageset; Lars Imsland; Bjarne A. Foss (ECC, 2003)

Output-feedback nonlinear model predictive control using high-gain observers in original coordinates. - Rolf Findeisen; Lars Imsland; Frank Allgöwer; Bjarne A. Foss (ECC, 2003)

State feedback control of a class of positive systems: Application to gas-lift stabilization. - Lars Imsland; Bjarne A. Foss; Gisle Otto Eikrem (ECC, 2003)

State Feedback Set Stabilization for a Class of Nonlinear Systems. - Lars Imsland; Bjarne A. Foss (POSTA, 2003)

State and Output Feedback Nonlinear Model Predictive Control: An Overview. - Rolf Findeisen; Lars Imsland; Frank Allgöwer (Eur. J. Control, 2003)

A new algorithm for efficient MPC and a comparison with competing schemes. - Lars Imsland; Nadav S. Bar; Bjame A. Foss (ACC, 2004)

Vehicle Velocity Estimation using Modular Nonlinear Observers. - Lars Imsland; Tor Arne Johansen; Thor I. Fossen; Jens C. Kalkkuhl; Avshalom Suissa (CDC/ECC, 2005)

More efficient predictive control. - Lars Imsland; Nadav S. Bar; Bjarne A. Foss (Autom., 2005)

Integrated modeling and control of a load-connected SOFC-GT autonomous power system. - Rambabu Kandepu; Bjarne A. Foss; Lars Imsland (ACC, 2006)

Nonlinear Vehicle Velocity Observer with Road-Tire Friction Adaptation. - Håvard Fjær Grip; Lars Imsland; Tor Arne Johansen; Thor I. Fossen; Jens C. Kalkkuhl; Avshalom Suissa (CDC, 2006)

Vehicle velocity estimation using nonlinear observers. - Lars Imsland; Tor Arne Johansen; Thor I. Fossen; Håvard Fjær Grip; Jens Kalkkuhl; Avshalom Suissa (Autom., 2006)

On non-linear unknown input observers-applied to lateral vehicle velocity estimation on banked roads. - Lars Imsland; Tor Arne Johansen; Håvard Fjær Grip; Thor I. Fossen (Int. J. Control, 2007)

Nonlinear vehicle side-slip estimation with friction adaptation. - Håvard Fjær Grip; Lars Imsland; Tor Arne Johansen; Thor I. Fossen; Jens Kalkkuhl; Avshalom Suissa (Autom., 2008)

Robust triple mode MPC. - Lars Imsland; J. Anthony Rossiter; Bert Pluymers; Johan A. K. Suykens (Int. J. Control, 2008)

Estimation of road inclination and bank angle in automotive vehicles. - Håvard Fjær Grip; Lars Imsland; Tor Arne Johansen; Jens Kalkkuhl; Avshalom Suissa (ACC, 2009)

Active control of oxy-fuel combustion using preflame CO2-injection. - Dagfinn Snarheim; Lars Imsland; Bjarne A. Foss (ECC, 2009)

Parameter estimation and compensation in systems with nonlinearly parameterized perturbations. - Håvard Fjær Grip; Tor Arne Johansen; Lars Imsland; Glenn-Ole Kaasa (Autom., 2010)

Nonlinear model predictive control of a benchmark nonlinear boiler. - Radek Horalek; Lars Imsland (ICAT, 2011)

Coordinated control of multiple HVDC links using backstepping. - Anne Mai Ersdal; Lars Imsland; Kjetil Uhlen (CCA, 2012)

State estimation of ice thickness distribution using mobile sensors. - Joakim Haugen; Esten Ingar Grøtli; Lars Imsland (CCA, 2012)

Adaptive approximation-based estimation of downhole pressure in managed pressure drilling. - Lars Imsland; Glenn-Ole Kaasa (CCA, 2012)

Optimization-based autonomous remote sensing of surface objects using an unmanned aerial vehicle. - Joakim Haugen; Lars Imsland (ECC, 2013)

Multi-objective Predictive Control for non steady-state operation. - Johannes Philippus Maree; Lars Imsland (ECC, 2013)

A convergence result for the unscented Kalman-Bucy filter using contraction theory. - Johannes Philippus Maree; Lars Imsland; Jérôme Jouffroy (ECC, 2013)

Fault diagnosis in managed pressure drilling using nonlinear adaptive observers. - Anders Willersrud; Lars Imsland (ECC, 2013)

Applying model predictive control to power system frequency control. - Anne Mai Ersdal; Ines M. Cecilio; Davide Fabozzi; Lars Imsland; Nina F. Thornhill (ISGT Europe, 2013)

Efficient implementation of solvers for linear model predictive control on embedded devices. - Gianluca Frison; D. Kwame Minde Kufoalor; Lars Imsland; John Bagterp Jørgensen (CCA, 2014)

Moving horizon estimation in managed pressure drilling using distributed models. - Agus Hasan; Lars Imsland (CCA, 2014)

Optimal control strategies for oil production under gas coning conditions. - Johannes Philippus Maree; Lars Imsland (CCA, 2014)

Full algorithmic differentiation of a Rosenbrock-type method for direct single shooting. - Ralf Hannemann-Tamás; Lars Struen Imsland (ECC, 2014)

Optimal and robust production of high pressure steam. - Torstein Thode Kristoffersen; Dagfinn Snarheim; Lars Imsland; Marius Store Govatsmark (ECC, 2014)

Embedded Model Predictive Control on a PLC using a primal-dual first-order method for a subsea separation process. - D. Kwame Minde Kufoalor; Stefan Richter 005; Lars Imsland; Tor Arne Johansen; Manfred Morari; Gisle Otto Eikrem (MED, 2014)

Automatic deployment of industrial embedded model predictive control using qpOASES. - D. Kwame Minde Kufoalor; B. J. T. Binder; Hans Joachim Ferreau; Lars Imsland; Tor Arne Johansen; Moritz Diehl (ECC, 2015)

Mobile Sensor Path Planning for Iceberg Monitoring using a MILP Framework. - Anders Albert; Lars Imsland (ICINCO (1), 2015)

Drillstring Washout Diagnosis Using Friction Estimation and Statistical Change Detection. - Anders Willersrud; Mogens Blanke; Lars Imsland; Alexey Pavlov 001 (IEEE Trans. Control. Syst. Technol., 2015)

Monitoring an Advection-Diffusion Process Using Aerial Mobile Sensors. - Joakim Haugen; Lars Imsland (Unmanned Syst., 2015)

Estimation of systems with oscillating inputs - applied to iceberg drift forecast. - Leif Erik Andersson; Francesco Scibilia; Lars Imsland (CCA, 2016)

The moving horizon estimator used in iceberg drift estimation and Forecast. - Leif Erik Andersson; Francesco Scibilia; Lars Imsland (ECC, 2016)

Efficient quadratic programming frameworks for industrial embedded model predictive control. - D. Kwame Minde Kufoalor; Lars Imsland; Tor Arne Johansen (ECC, 2016)

Optimal boundary control of 2 × 2 linear hyperbolic PDEs. - Agus Hasan; Lars Imsland; Ivan Ganchev Ivanov; Snezhana Kostova; Boryana C. Bogdanova (MED, 2016)

Combined economic and regulatory predictive control. - Johannes Philippus Maree; Lars Imsland (Autom., 2016)

Efficient implementation of step response models for embedded Model Predictive Control. - D. Kwame Minde Kufoalor; Lars Imsland; Tor Arne Johansen (Comput. Chem. Eng., 2016)

On convergence of the unscented Kalman-Bucy filter using contraction theory. - Johannes Philippus Maree; Lars Imsland; Jérôme Jouffroy (Int. J. Syst. Sci., 2016)

Monitoring Moving Objects Using Aerial Mobile Sensors. - Joakim Haugen; Lars Imsland (IEEE Trans. Control. Syst. Technol., 2016)

Forecasting using multivariate empirical mode decomposition - Applied to iceberg drift forecast. - Leif Erik Andersson; Muhammad Faisal Aftab; Francesco Scibilia; Lars Imsland (CCTA, 2017)

Partially distributed optimization for mobile sensor path-planning. - Lars Imsland (CDC, 2017)

Structure exploitation of practical MPC formulations for speeding up first-order methods. - D. Kwame Minde Kufoalor; Stefan Richter 005; Lars Imsland; Tor Arne Johansen (CDC, 2017)

Iterative algorithms for computing the feedback Nash equilibrium point for positive systems. - Ivan Ganchev Ivanov; Lars Imsland; Boryana C. Bogdanova (Int. J. Syst. Sci., 2017)

Stochastic Nonlinear Model Predictive Control Using Gaussian Processes. - Eric Bradford; Lars Imsland (ECC, 2018)

Nonlinear model predictive control with explicit back-offs for Gaussian process state space models. - Eric Bradford; Lars Imsland; Ehecatl Antonio del Rio-Chanona (CDC, 2019)

Output feedback stochastic nonlinear model predictive control of a polymerization batch process. - Eric Bradford; Marcus Reble; Lars Imsland (ECC, 2019)

On Kalman filtering with linear state equality constraints. - Leif Erik Andersson; Lars Imsland; Edmund Førland Brekke; Francesco Scibilia (Autom., 2019)

Output feedback stochastic nonlinear model predictive control for batch processes. - Eric Bradford; Lars Imsland (Comput. Chem. Eng., 2019)

Campaign-based modeling for degradation evolution in batch processes using a multiway partial least squares approach. - Ouyang Wu; Ala E. F. Bouaswaig; Lars Imsland; Stefan Marco Schneider; Matthias Roth; Fernando Moreno Leira (Comput. Chem. Eng., 2019)

Combined Optimal Control and Combinatorial Optimization for Searching and Tracking Using an Unmanned Aerial Vehicle. - Anders Albert; Lars Imsland (J. Intell. Robotic Syst., 2019)

Distributed learning for wind farm optimization with Gaussian processes. - Leif Erik Andersson; Eric Christopher Bradford; Lars Imsland (ACC, 2020)

Real time optimization of systems with fast and slow dynamics using a lookahead strategy. - Joakim Rostrup Andersen; Thiago Lima Silva; Lars Imsland; Alexey Pavlov 001 (CDC, 2020)

Managed Pressure Drilling System State Estimation Using The Multiple Model Adaptive Estimation Approach. - Amir Masoud Molaei; Amir Hossein Nikoofard; Ali Khaki-Sedigh; Lars Imsland (ECC, 2020)

Stochastic data-driven model predictive control using gaussian processes. - Eric Bradford; Lars Imsland; Dongda Zhang; Ehecatl Antonio del Rio-Chanona (Comput. Chem. Eng., 2020)

Optimal production and maintenance scheduling for a multiproduct batch plant considering degradation. - Ouyang Wu; Giancarlo Dalle Ave; Iiro Harjunkoski; Ala E. F. Bouaswaig; Stefan Marco Schneider; Matthias Roth; Lars Imsland (Comput. Chem. Eng., 2020)

Developing a Hybrid Data-Driven, Mechanistic Virtual Flow Meter - a Case Study. - Mathilde Hotvedt; Bjarne A. Grimstad; Lars Imsland (CoRR, 2020)

Adaptation of Engineering Wake Models using Gaussian Process Regression and High-Fidelity Simulation Data. - Leif Erik Andersson; Bart M. Doekemeijer; Daan C. van der Hoek; Jan-Willem van Wingerden; Lars Imsland (CoRR, 2020)

Identifiability and interpretability of hybrid, gray-box models. - Mathilde Hotvedt; Bjarne A. Grimstad; Lars Imsland (CoRR, 2020)

Optimal Maintenance for Degrading Assets in the Context of Asset Fleets-A Case Study. - Frederik Schulze Spüntrup; Giancarlo Dalle Ave; Lars Imsland; Iiro Harjunkoski (Frontiers Appl. Math. Stat., 2020)

Adaptive sampling for UAV sensor network in oil spill management. - Esten Ingar Grøtli; Joakim Haugen; Tor Arne Johansen; Lars Imsland (ACC, 2021)

Bayesian neural networks for virtual flow metering: An empirical study. - Bjarne A. Grimstad; Mathilde Hotvedt; Anders T. Sandnes; Odd Kolbjørnsen; Lars Struen Imsland (Appl. Soft Comput., 2021)

A rolling horizon approach for scheduling of multiproduct batch production and maintenance using generalized disjunctive programming models. - Ouyang Wu; Giancarlo Dalle Ave; Iiro Harjunkoski; Lars Imsland (Comput. Chem. Eng., 2021)

On gray-box modeling for virtual flow metering. - Mathilde Hotvedt; Bjarne A. Grimstad; Dag Ljungquist; Lars Imsland (CoRR, 2021)

Hybrid Gaussian Process Modeling Applied to Economic Stochastic Model Predictive Control of Batch Processes. - Eric Bradford; Lars Imsland; Marcus Reble; Ehecatl Antonio del Rio-Chanona (CoRR, 2021)

When is gray-box modeling advantageous for virtual flow metering? - Mathilde Hotvedt; Bjarne A. Grimstad; Dag Ljungquist; Lars Imsland (CoRR, 2021)

Nonlinear Model Predictive Control of Electrical Submersible Pumps based on Echo State Networks. - Jean Panaioti Jordanou; Iver Osnes; Sondre B. Hernes; Eduardo Camponogara; Eric Aislan Antonelo; Lars Imsland (Adv. Eng. Informatics, 2022)

Framework for produced water discharge management with flow-weighted mean concentration based economic model predictive control. - Otávio Fonseca Ivo; Lars Struen Imsland (Comput. Chem. Eng., 2022)

Adjustment formulas for learning causal steady-state models from closed-loop operational data. - Kristian Løvland; Bjarne A. Grimstad; Lars Struen Imsland (CoRR, 2022)

Passive learning to address nonstationarity in virtual flow metering applications. - Mathilde Hotvedt; Bjarne A. Grimstad; Lars Struen Imsland (Expert Syst. Appl., 2022)

Reference optimisation of uncertain offshore hybrid power systems with multi-stage nonlinear model predictive control. - Kiet Tuan Hoang; Brage Rugstad Knudsen; Lars Imsland (ACC, 2023)

Progressor Transformation of Dynamical Systems and Application to Dynamic Optimization*. - Trym Arve L. Gabrielsen; Lars Imsland (CCTA, 2023)

Multi-unit soft sensing permits few-shot learning. - Bjarne A. Grimstad; Kristian Løvland; Lars Struen Imsland (CoRR, 2023)

Tuning of Online Feedback Optimization for setpoint tracking in centrifugal compressors. - Marta A. Zagorowska; Lukas Ortmann; Alisa Rupenyan; Mehmet Mercangöz; Lars Imsland (CoRR, 2023)

A Survey on the Application of Machine Learning and Metaheuristic Algorithms for Intelligent Proxy Modeling in Reservoir Simulation. - Cuthbert Shang Wui Ng; Menad Nait Amar; Ashkan Jahanbani Ghahfarokhi; Lars Struen Imsland (Comput. Chem. Eng., 2023)

A regularized Moving Horizon Estimator for combined state and parameter estimation in a bioprocess experimental application. - Andrea Tuveri; Caroline S. M. Nakama; José Matias; Haakon Eng Holck; Johannes Jäschke; Lars Imsland; Nadav Bar (Comput. Chem. Eng., 2023)

Data-driven derivative-free trust-region model-based method for resource allocation problems. - Joakim Rostrup Andersen; Lars Imsland; Alexey Pavlov 001 (Comput. Chem. Eng., 2023)

Parameter and State Estimation of Managed Pressure Drilling System Using the Optimization-Based Supervisory Framework. - Amir Masoud Molaei; Amirhossein Nikoofard; Ali Khaki-Sedigh; Lars Imsland (IEEE Trans. Control. Syst. Technol., 2023)

An updated look on the convergence and consistency of data-driven dynamical models. - Kristian Løvland; Bjarne A. Grimstad; Lars Struen Imsland (CDC, 2024)

Physics-Informed Neural Networks with skip connections for modeling and control of gas-lifted oil wells. - Jonas Ekeland Kittelsen; Eric Aislan Antonelo; Eduardo Camponogara; Lars Struen Imsland (Appl. Soft Comput., 2024)

Complementarity-constrained predictive control for efficient gas-balanced hybrid power systems. - Kiet Tuan Hoang; Brage Rugstad Knudsen; Lars Struen Imsland (CoRR, 2024)

A deep latent variable model for semi-supervised multi-unit soft sensing in industrial processes. - Bjarne A. Grimstad; Kristian Løvland; Lars Struen Imsland; Vidar Gunnerud (CoRR, 2024)

Neural networks informed by physics for modeling mass flow rate in a production wellbore. - Luis Fernando Nazari; Eduardo Camponogara; Lars Struen Imsland; Laio Oriel Seman (Eng. Appl. Artif. Intell., 2024)

Sensitivity of Online Feedback Optimization to time-varying parameters. - Marta A. Zagorowska; Lars Imsland (CoRR, 2025)

Persistently Exciting Online Feedback Optimization Controller with Minimal Perturbations. - Tore Gude; Marta A. Zagorowska; Lars Struen Imsland (CoRR, 2025)