Lars Imsland

About Lars Imsland

Lars Imsland, With an exceptional h-index of 37 and a recent h-index of 24 (since 2020), a distinguished researcher at Norges teknisk-naturvitenskaplige universitet, specializes in the field of Control and estimation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Comparison of time-invariant and adaptive linear grey-box models for model predictive control of residential buildings

Complementarity-constrained predictive control for efficient gas-balanced hybrid power systems

Neural networks informed by physics for modeling mass flow rate in a production wellbore

Probabilistic forecasting-based stochastic nonlinear model predictive control for power systems with intermittent renewables and energy storage

Tuning of Online Feedback Optimization for setpoint tracking in centrifugal compressors

Progressor Transformation of Dynamical Systems and Application to Dynamic Optimization*

Data-driven derivative-free trust-region model-based method for resource allocation problems

Reference optimisation of uncertain offshore hybrid power systems with multi-stage nonlinear model predictive control

Lars Imsland Information

University

Position

Professor

Citations(all)

5922

Citations(since 2020)

2263

Cited By

4578

hIndex(all)

37

hIndex(since 2020)

24

i10Index(all)

98

i10Index(since 2020)

60

Email

University Profile Page

Google Scholar

Lars Imsland Skills & Research Interests

Control and estimation

Top articles of Lars Imsland

Comparison of time-invariant and adaptive linear grey-box models for model predictive control of residential buildings

Building and Environment

2024/4/15

Complementarity-constrained predictive control for efficient gas-balanced hybrid power systems

arXiv preprint arXiv:2404.06813

2024/4/10

Neural networks informed by physics for modeling mass flow rate in a production wellbore

Engineering Applications of Artificial Intelligence

2024/2/1

Probabilistic forecasting-based stochastic nonlinear model predictive control for power systems with intermittent renewables and energy storage

IEEE Transactions on Power Systems

2023/12/20

Tuning of Online Feedback Optimization for setpoint tracking in centrifugal compressors

arXiv preprint arXiv:2312.01996

2023/12/4

Lars Imsland
Lars Imsland

H-Index: 22

Progressor Transformation of Dynamical Systems and Application to Dynamic Optimization*

2023/8/16

Data-driven derivative-free trust-region model-based method for resource allocation problems

Computers & Chemical Engineering

2023/8/1

Lars Imsland
Lars Imsland

H-Index: 22

Alexey Pavlov
Alexey Pavlov

H-Index: 19

Reference optimisation of uncertain offshore hybrid power systems with multi-stage nonlinear model predictive control

2023/5/31

Lars Imsland
Lars Imsland

H-Index: 22

Parameter and state estimation of managed pressure drilling system using the optimization-based supervisory framework

IEEE Transactions on Control Systems Technology

2023/5/19

Amirmasoud Molaei
Amirmasoud Molaei

H-Index: 1

Lars Imsland
Lars Imsland

H-Index: 22

A regularized Moving Horizon Estimator for combined state and parameter estimation in a bioprocess experimental application

Computers & Chemical Engineering

2023/4/1

Johannes Jäschke
Johannes Jäschke

H-Index: 12

Lars Imsland
Lars Imsland

H-Index: 22

A survey on the application of machine learning and metaheuristic algorithms for intelligent proxy modeling in reservoir simulation

2023/2/1

Heteroscedastic Bayesian optimisation for active power control of wind farms

IFAC-PapersOnLine

2023/1/1

Ali Mesbah
Ali Mesbah

H-Index: 25

Lars Imsland
Lars Imsland

H-Index: 22

Passive learning to address nonstationarity in virtual flow metering applications

Expert Systems With Applications

2022/12/30

Adjustment formulas for learning causal steady-state models from closed-loop operational data

arXiv preprint arXiv:2211.05613

2022/11/10

Integration of maintenance scheduling and planning for large-scale asset fleets

Optimization and Engineering

2022/9

Nonlinear model predictive control of electrical submersible pumps based on echo state networks

Advanced Engineering Informatics

2022/4/1

Lars Imsland
Lars Imsland

H-Index: 22

Influence of data pre-processing and sensor dynamics on grey-box models for space-heating: Analysis using field measurements

Building and Environment

2022/3/15

Framework for produced water discharge management with flow-weighted mean concentration based economic model predictive control

2022

Adaptive Linear Grey-Box Models for Model Predictive Controller of Residential Buildings

E3S Web of Conferences

2022

Laurent Georges
Laurent Georges

H-Index: 15

Lars Imsland
Lars Imsland

H-Index: 22

Hierarchical nonlinear model predictive control of offshore hybrid power systems

IFAC-PapersOnLine

2022/1/1

See List of Professors in Lars Imsland University(Norges teknisk-naturvitenskaplige universitet)

Co-Authors

academic-engine