Lars Imsland

Orcid: 0000-0001-7615-774X

Affiliations:
  • Norwegian University of Science and Technology


According to our database1, Lars Imsland authored at least 91 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Neural networks informed by physics for modeling mass flow rate in a production wellbore.
Eng. Appl. Artif. Intell., 2024

An updated look on the convergence and consistency of data-driven dynamical models.
CoRR, 2024

A deep latent variable model for semi-supervised multi-unit soft sensing in industrial processes.
CoRR, 2024

Complementarity-constrained predictive control for efficient gas-balanced hybrid power systems.
CoRR, 2024

Physics-Informed Neural Networks with skip connections for modeling and control of gas-lifted oil wells.
Appl. Soft Comput., 2024

2023
Parameter and State Estimation of Managed Pressure Drilling System Using the Optimization-Based Supervisory Framework.
IEEE Trans. Control. Syst. Technol., November, 2023

Data-driven derivative-free trust-region model-based method for resource allocation problems.
Comput. Chem. Eng., August, 2023

A regularized Moving Horizon Estimator for combined state and parameter estimation in a bioprocess experimental application.
Comput. Chem. Eng., April, 2023

A Survey on the Application of Machine Learning and Metaheuristic Algorithms for Intelligent Proxy Modeling in Reservoir Simulation.
Comput. Chem. Eng., February, 2023

Tuning of Online Feedback Optimization for setpoint tracking in centrifugal compressors.
CoRR, 2023

Multi-unit soft sensing permits few-shot learning.
CoRR, 2023

Progressor Transformation of Dynamical Systems and Application to Dynamic Optimization<sup>*</sup>.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

Reference optimisation of uncertain offshore hybrid power systems with multi-stage nonlinear model predictive control.
Proceedings of the American Control Conference, 2023

2022
Passive learning to address nonstationarity in virtual flow metering applications.
Expert Syst. Appl., 2022

Adjustment formulas for learning causal steady-state models from closed-loop operational data.
CoRR, 2022

Framework for produced water discharge management with flow-weighted mean concentration based economic model predictive control.
Comput. Chem. Eng., 2022

Nonlinear Model Predictive Control of Electrical Submersible Pumps based on Echo State Networks.
Adv. Eng. Informatics, 2022

2021
When is gray-box modeling advantageous for virtual flow metering?
CoRR, 2021

Hybrid Gaussian Process Modeling Applied to Economic Stochastic Model Predictive Control of Batch Processes.
CoRR, 2021

On gray-box modeling for virtual flow metering.
CoRR, 2021

A rolling horizon approach for scheduling of multiproduct batch production and maintenance using generalized disjunctive programming models.
Comput. Chem. Eng., 2021

Bayesian neural networks for virtual flow metering: An empirical study.
Appl. Soft Comput., 2021

Adaptive sampling for UAV sensor network in oil spill management.
Proceedings of the 2021 American Control Conference, 2021

2020
Optimal Maintenance for Degrading Assets in the Context of Asset Fleets-A Case Study.
Frontiers Appl. Math. Stat., 2020

Identifiability and interpretability of hybrid, gray-box models.
CoRR, 2020

Adaptation of Engineering Wake Models using Gaussian Process Regression and High-Fidelity Simulation Data.
CoRR, 2020

Developing a Hybrid Data-Driven, Mechanistic Virtual Flow Meter - a Case Study.
CoRR, 2020

Optimal production and maintenance scheduling for a multiproduct batch plant considering degradation.
Comput. Chem. Eng., 2020

Stochastic data-driven model predictive control using gaussian processes.
Comput. Chem. Eng., 2020

Managed Pressure Drilling System State Estimation Using The Multiple Model Adaptive Estimation Approach.
Proceedings of the 18th European Control Conference, 2020

Real time optimization of systems with fast and slow dynamics using a lookahead strategy.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Distributed learning for wind farm optimization with Gaussian processes.
Proceedings of the 2020 American Control Conference, 2020

2019
Combined Optimal Control and Combinatorial Optimization for Searching and Tracking Using an Unmanned Aerial Vehicle.
J. Intell. Robotic Syst., 2019

Campaign-based modeling for degradation evolution in batch processes using a multiway partial least squares approach.
Comput. Chem. Eng., 2019

Output feedback stochastic nonlinear model predictive control for batch processes.
Comput. Chem. Eng., 2019

On Kalman filtering with linear state equality constraints.
Autom., 2019

Output feedback stochastic nonlinear model predictive control of a polymerization batch process.
Proceedings of the 17th European Control Conference, 2019

Nonlinear model predictive control with explicit back-offs for Gaussian process state space models.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Stochastic Nonlinear Model Predictive Control Using Gaussian Processes.
Proceedings of the 16th European Control Conference, 2018

2017
Iterative algorithms for computing the feedback Nash equilibrium point for positive systems.
Int. J. Syst. Sci., 2017

Structure exploitation of practical MPC formulations for speeding up first-order methods.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Partially distributed optimization for mobile sensor path-planning.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Forecasting using multivariate empirical mode decomposition - Applied to iceberg drift forecast.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017

2016
Monitoring Moving Objects Using Aerial Mobile Sensors.
IEEE Trans. Control. Syst. Technol., 2016

On convergence of the unscented Kalman-Bucy filter using contraction theory.
Int. J. Syst. Sci., 2016

Efficient implementation of step response models for embedded Model Predictive Control.
Comput. Chem. Eng., 2016

Combined economic and regulatory predictive control.
Autom., 2016

Optimal boundary control of 2 × 2 linear hyperbolic PDEs.
Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016

Efficient quadratic programming frameworks for industrial embedded model predictive control.
Proceedings of the 15th European Control Conference, 2016

The moving horizon estimator used in iceberg drift estimation and Forecast.
Proceedings of the 15th European Control Conference, 2016

Estimation of systems with oscillating inputs - applied to iceberg drift forecast.
Proceedings of the 2016 IEEE Conference on Control Applications, 2016

2015
Monitoring an Advection-Diffusion Process Using Aerial Mobile Sensors.
Unmanned Syst., 2015

Drillstring Washout Diagnosis Using Friction Estimation and Statistical Change Detection.
IEEE Trans. Control. Syst. Technol., 2015

Mobile Sensor Path Planning for Iceberg Monitoring using a MILP Framework.
Proceedings of the ICINCO 2015, 2015

Automatic deployment of industrial embedded model predictive control using qpOASES.
Proceedings of the 14th European Control Conference, 2015

2014
Embedded Model Predictive Control on a PLC using a primal-dual first-order method for a subsea separation process.
Proceedings of the 22nd Mediterranean Conference on Control and Automation, 2014

Optimal and robust production of high pressure steam.
Proceedings of the 13th European Control Conference, 2014

Full algorithmic differentiation of a Rosenbrock-type method for direct single shooting.
Proceedings of the 13th European Control Conference, 2014

Optimal control strategies for oil production under gas coning conditions.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014

Moving horizon estimation in managed pressure drilling using distributed models.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014

Efficient implementation of solvers for linear model predictive control on embedded devices.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014

2013
Applying model predictive control to power system frequency control.
Proceedings of the 4th IEEE PES Innovative Smart Grid Technologies Europe, 2013

Fault diagnosis in managed pressure drilling using nonlinear adaptive observers.
Proceedings of the 12th European Control Conference, 2013

A convergence result for the unscented Kalman-Bucy filter using contraction theory.
Proceedings of the 12th European Control Conference, 2013

Multi-objective Predictive Control for non steady-state operation.
Proceedings of the 12th European Control Conference, 2013

Optimization-based autonomous remote sensing of surface objects using an unmanned aerial vehicle.
Proceedings of the 12th European Control Conference, 2013

2012
Adaptive approximation-based estimation of downhole pressure in managed pressure drilling.
Proceedings of the IEEE International Conference on Control Applications, 2012

State estimation of ice thickness distribution using mobile sensors.
Proceedings of the IEEE International Conference on Control Applications, 2012

Coordinated control of multiple HVDC links using backstepping.
Proceedings of the IEEE International Conference on Control Applications, 2012

2011
Nonlinear model predictive control of a benchmark nonlinear boiler.
Proceedings of the XXIII International Symposium on Information, 2011

2010
Parameter estimation and compensation in systems with nonlinearly parameterized perturbations.
Autom., 2010

2009
Active control of oxy-fuel combustion using preflame CO2-injection.
Proceedings of the 10th European Control Conference, 2009

Estimation of road inclination and bank angle in automotive vehicles.
Proceedings of the American Control Conference, 2009

2008
Robust triple mode MPC.
Int. J. Control, 2008

Nonlinear vehicle side-slip estimation with friction adaptation.
Autom., 2008

2007
On non-linear unknown input observers-applied to lateral vehicle velocity estimation on banked roads.
Int. J. Control, 2007

2006
Vehicle velocity estimation using nonlinear observers.
Autom., 2006

Nonlinear Vehicle Velocity Observer with Road-Tire Friction Adaptation.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

Integrated modeling and control of a load-connected SOFC-GT autonomous power system.
Proceedings of the American Control Conference, 2006

2005
More efficient predictive control.
Autom., 2005

Vehicle Velocity Estimation using Modular Nonlinear Observers.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004
A new algorithm for efficient MPC and a comparison with competing schemes.
Proceedings of the 2004 American Control Conference, 2004

2003
State and Output Feedback Nonlinear Model Predictive Control: An Overview.
Eur. J. Control, 2003

State Feedback Set Stabilization for a Class of Nonlinear Systems.
Proceedings of the Positive Systems, 2003

State feedback control of a class of positive systems: Application to gas-lift stabilization.
Proceedings of the 7th European Control Conference, 2003

Output-feedback nonlinear model predictive control using high-gain observers in original coordinates.
Proceedings of the 7th European Control Conference, 2003

Efficient model predictive control with prediction dynamics.
Proceedings of the 7th European Control Conference, 2003

Stability conditions for observer based output feedback stabilization with nonlinear model predictive control.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Output feedback stabilization with nonlinear predictive control: asymptotic properties.
Proceedings of the American Control Conference, 2003

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

2001
Piecewise affine observer-based robust controllers for constrained nonlinear systems.
Proceedings of the 6th European Control Conference, 2001


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