• Anomaly Detection with Unknown Anomalies: Application to Maritime Machinery 

      Michalowska, Katarzyna; Riemer-Sørensen, Signe; Sterud, Camilla; Hjellset, Ole Magnus (Peer reviewed; Journal article, 2021)
      We present a framework for deriving anomaly detection algorithms on timeseries data when the time and expression of anomalous behaviour is unknown. The framework is suited for problems in which individual machine learning ...
    • Autonomous Monitoring and Inspection Operations with UUVs in Fish Farms 

      Kelasidi, Eleni; Su, Biao; Caharija, Walter; Føre, Martin; Pedersen, Magnus Oshaug; Frank, Kevin (Peer reviewed; Journal article, 2022)
      In this study, a general control framework for autonomous operations in highly complex and dynamically changing environments such as fish farms is proposed and experimentally validated. Since fish farms feature an environment ...
    • Autonomous subsea intervention (SEAVENTION) 

      Transeth, Aksel Andreas; Schjølberg, Ingrid; Lekkas, Anastasios; Risholm, Petter; Mohammed, Ahmed Kedir; Skaldebø, Martin Breivik; Haugaløkken, Bent Oddvar Arnesen; Bjerkeng, Magnus Christian; Tsiourva, Maria Efstathia; Py, Frédéric (Journal article; Peer reviewed, 2022)
      This paper presents the main results and latest developments in a 4-year project called autonomous subsea intervention (SEAVENTION). In the project we have developed new methods for autonomous inspection, maintenance and ...
    • Control of steam bottoming cycles using nonlinear input and output transformations for feedforward disturbance rejection 

      Zotica, Cristina Florina; Mocholí Montañés, Rubén; Reyes Lua, Adriana; Skogestad, Sigurd (Peer reviewed; Journal article, 2022)
    • Design and verification of a sway-yaw control system for Surface Effect Ships using vent valves 

      Teigland, Håkon; Hassani, Vahid; Auestad, Øyvind Fidje (Journal article; Peer reviewed, 2019)
      For an offshore worker in the oil and gas industry, the helicopter transport is the activity associated with the highest risk. An alternative to helicopter crew transfers is to use Surface Effect Ships (SES) to transport ...
    • Distributed MPC for Formation Path-Following of Multi-Vehicle Systems 

      Matous, Josef; Varagnolo, Damiano; Pettersen, Kristin Ytterstad; Paliotta, Claudio (Peer reviewed; Journal article, 2022)
      The paper considers the problem of formation path-following of multiple vehicles and proposes a solution based on combining distributed model predictive control with parametrizations of the trajectories of the vehicles ...
    • Force actuated real-tme hybrid model testing of a moored vessel: A case study investigating force errors 

      Ueland, Einar Skiftestad; Skjetne, Roger; Vilsen, Stefan Arenfeldt (Journal article; Peer reviewed, 2018)
      This paper presents a study where real-time hybrid testing is used to emulate a moored barge. The barge is modelled physically while the mooring forces are simulated numerically and actuated onto the physical substructure. ...
    • Hierarchical nonlinear model predictive control of offshore hybrid power systems 

      Hoang, Kiet Tuan; Knudsen, Brage Rugstad; Imsland, Lars Struen (Peer reviewed; Journal article, 2022)
      This paper presents an approach for controlling ofshore hybrid power systems consisting of gas turbines, offshore wind, and batteries for satisfying an exogenous power demand. A hierarchical controller is developed comprising ...
    • Learning-based Robust Model Predictive Control for Sector-bounded Lur'e Systems 

      Seel, Katrine; Haring, Mark A. M.; Grøtli, Esten Ingar; Pettersen, Kristin Ytterstad; Gravdahl, Jan Tommy (Peer reviewed; Journal article, 2021)
      For dynamical systems with uncertainty, robust controllers can be designed by assuming that the uncertainty is bounded. The less we know about the uncertainty in the system, the more conservative the bound must be, which ...
    • Marine Engine Centered Localized Models for Sensor Fault Detection under Ship Performance Monitoring 

      Perera, Lokukaluge Prasad (Journal article; Peer reviewed, 2016)
      Sensor fault detection under marine engine centered localized models of an engine propeller combinator diagram is presented in this study. The proposed approach consists of two detection levels to identify of sensor fault ...
    • Marine Engine Operating Regions under Principal Component Analysis to evaluate Ship Performance and Navigation Behavior 

      Perera, Lokukaluge Prasad; Mo, Brage (Journal article; Peer reviewed, 2016)
      Marine engine operating regions under principal component analysis (PCA) to evaluate ship performance and navigation behavior are presented in this study. A data set with ship performance and navigation information (i.e. ...
    • MES as an Enabler of Lean Manufacturing 

      Perico, Paolo; Arica, Emrah; Powell, Daryl John; Gaiardelli, Paolo (Journal article; Peer reviewed, 2019)
      Many firms have adopted Lean Manufacturing as a means of increasing productivity and reducing cost, often by focusing on the implementation of Lean best practices to identify and eliminate waste. This paper explores the ...
    • Motion Trajectory Estimation of Salmon Using Stereo Vision 

      Nygård, Trym Anthonsen; Jahren, Jan Henrik; Schellewald, Christian; Stahl, Annette (Peer reviewed; Journal article, 2022)
      A main concern for the aquaculture industry is the fish behaviour and welfare. Motion trajectory analysis of salmon at aquaculture farming sites with respect to certain aquaculture operations aims to provide information ...
    • Multi-Robot Exploration of Underwater Structures 

      Xanthidis, Marios; Joshi, Bharat; O'Kane, Jason M.; Rekleitis, Ioannis (Peer reviewed; Journal article, 2022)
      This paper discusses a novel approach for the exploration of an underwater structure. A team of robots splits into two roles: certain robots approach the structure collecting detailed information (proximal observers) while ...
    • Path planning for marine vehicles using Bezier curves 

      Hassani, Vahid; Lande, Simen V. (Journal article; Peer reviewed, 2018-05)
      Over the past few years maritime sector has witnessed an increasing interest in use of autonomous ships and in particular Autonomous Surface Vehicles (ASV) in complex applications with high associated risks. There is an ...
    • Proactive Collision Avoidance for Autonomous Ships: Leveraging Machine Learning to Emulate Situation Awareness 

      Murray, Brian; Perera, Lokukaluge Prasad (Peer reviewed; Journal article, 2021)
      Autonomous ship technology is developing at a rapid pace, with the aim of facilitating safe ship operations. Collision avoidance is one of the most critical tasks that autonomous ships must handle. To support the level of ...
    • Semiglobal exponential stability of a counter-current and co-current guidance scheme 

      Caharija, Walter; Grøtli, Esten Ingar; Pettersen, Kristin Ytterstad (Journal article; Peer reviewed, 2018)
      A control technique for counter-current and co-current guidance of underactuated marine vehicles is revisited and stronger stability properties are shown. In particular, the stronger property of uniform semiglobal exponential ...
    • Semiglobal exponential stability of a counter-current and co-current guidance scheme 

      Caharija, Walter; Grøtli, Esten Ingar; Pettersen, Kristin Ytterstad (Journal article; Peer reviewed, 2018)
      A control technique for counter-current and co-current guidance of underactuated marine vehicles is revisited and stronger stability properties are shown. In particular, the stronger property of uniform semiglobal exponential ...
    • Statistical Filter based Sensor and DAQ Fault Detection for Onboard Ship Performance and Navigation Monitoring Systems 

      Perera, Lokukaluge Prasad (Journal article; Peer reviewed, 2016)
      Statistical filter based sensor and data acquisition (DAQ) fault detection is presented in this study. The parameters of a large-scale data set of ship performance and navigation information are considered as statistical ...
    • Switching sequences for non-predictive declutching control of wave energy converters 

      Garcia Rosa, Paula Bastos; Fosso, Olav B; Molinas Cabrera, Maria Marta (Peer reviewed; Journal article, 2021)
      Aiming at improving the energy absorption from waves, a number of studies have considered declutching control - a phase-control method that consists of disengaging the power take-off (PTO) system from the oscillating body ...