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Combination of Backstepping and Reduced Indirect FCS-MPC for Modular Multilevel Converters
(Chapter, 2021)In this paper, backstepping is applied as a first step of modulation control in the abc reference frame for modular multilevel converters (MMCs). In the second step, reduced indirect FCS-MPC is applied where the number of ... -
Combinatorial approach toward multiparametric quadratic programming based on characterizing adjacent critical regions
(Journal article; Peer reviewed, 2018)Several optimization-based control design techniques can be cast in the form of parametric optimization problems. The multiparametric quadratic programming (mpQP) represents a popular class often related to the control of ... -
Combined Geometric and Neural Network Approach to Generic Fault Diagnosis in Satellite Actuators and Sensors
(Journal article; Peer reviewed, 2016)This paper presents a novel scheme for diagnosis of faults affecting the sensors measuring the satellite attitude, body angular velocity and flywheel spin rates as well as defects related to the control torques provided by ... -
A combined informative and representative active learning approach for plankton taxa labeling
(Peer reviewed; Journal article, 2021)With an ever-increasing amount of image data, the manual labeling process has become the bottleneck in many machine learning applications. Plankton taxa labeling is especially a challenge due to its complex nature, and the ... -
Combined kinematic and dynamic control of an underwater swimming manipulator
(Journal article; Peer reviewed, 2019)An underwater swimming manipulator (USM) is a long and slender underwater vehicle composed of multiple links that are connected by motorized joints and equipped with thrusters. The USM belongs to the class of underwater ... -
Combined Kinematic and Dynamic Control of Vehicle-Manipulator Systems
(Peer reviewed; Journal article, 2020)A vehicle-manipulator system (VMS) is a class of mobile robots characterised by their ability to carry or be a robotic arm and therefore also manipulate objects. The VMS class includes vehicles with a robotic manipulator, ... -
Combined Optimal Control and Combinatorial Optimization for Searching and Tracking Using an Unmanned Aerial Vehicle
(Journal article; Peer reviewed, 2018)Combined searching and tracking of objects using Unmanned Aerial Vehicles (UAVs) is an important task with many applications. One way to approach this task is to formulate path-planning as a continuous optimal control ... -
Combined Safety and Security Analysis on an Autonomous Passenger Ferry Using CyPHASS
(Master thesis, 2022)Dagens samfunn blir mer og mer avansert innen teknologi, i den grad at det prøver å erstatte mennesker til fordel for autonomi. Det finnes allerede biler som under visse begrensninger kan kjøre autonomt, og dette bringes ... -
Combined Safety and Security Risk Analysis using the UFoI-E method: A Case Study of an Autonomous Surface vessel
(Chapter, 2019)Many standards consider safety and security risk analysis as separate fields, specifying the system specific safety or security issues and methods to analyze them. Having these separated fields of safety and security ... -
Combined state and parameter estimation for not fully observable dynamic systems
(Journal article, 2020)In this paper, a simple, yet novel method for state estimation and parameter identification for dynamic systems is presented. Apart from providing estimates of non-measurable state variables, the algorithm is also capable ... -
Combining Bluetooth Low Energy and IEEE 802.15.4 on a Single Chip Solution - A feasibility study
(Master thesis, 2015)This thesis has looked on the feasibility to run Bluetooth Low Energy and IEEE 802.15.4 in parallel on a single-chip solution. Due to the increasing number of small devices that are interconnected and connected to the ... -
Combining EDF Scheduling with occam using the Toc Programming Language
(Concurrent Systems Engineering Series; 66, Chapter, 2008)A special feature of the occam programming language is that its concurrency support is at the very base of the language. However, its ability to specify scheduling requirements is insufficient for use in some real-time ... -
Combining Grid-Based Uncertainty Propagation and Neural Networks With Uncertainty Estimation
(Master thesis, 2020)Punktbaserte metoder for deterministisk videresending av usikkerhet kan benyttes i kombinasjon med usikkerhetsestimering for nevrale nettverk. Dette kan brukes for å modellere dynamiske tilstandsromprosesser samt deres ... -
Combining Image and Depth Data for Efficient Semantic Segmentation
(Master thesis, 2018)Unmanned ground vehicles (UGVs) and other autonomous systems rely on sensors to understand their environments. These systems are often equipped with cameras which capture detailed descriptions of surrounding scenes. Computer ... -
Combining laser triangulation with rotary measurements to generate a positional basis for a welding robot
(Master thesis, 2019)Bedriften WellConnection Monstad rapporterer at en tidskrevende sveise-prosess av roterende borerør forårsaker en flaskehals i produksjonslinjen deres. Etter et ønske om å fjerne denne flaskehalsen, vil bedriften undersøke ... -
Combining Methods of Mathematical Optimization and Artificial Intelligence for Autonomous UAV Mission Planning and Execution
(Master thesis, 2017)In this thesis, different solutions for autonomous mission planning and execution aimed at Unmanned Aerial Vehicles (UAV) is investigated using methods of Artificial Intelligence (AI) and Mathematical Optimization. Different ... -
Combining model-free and model-based angle of attack estimation for small fixed-wing UAVs using a standard sensor suite
(Chapter, 2016)We propose to estimate steady and turbulent wind velocities and aerodynamic coefficients of a fixed-wing Unmanned Aerial Vehicle (UAV) by using frequency separation as well as kinematic, aerodynamic and wind models combined ... -
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach
(Peer reviewed; Journal article, 2022)Upcoming technologies like digital twins, autonomous, and artificial intelligent systems involving safety–critical applications require accurate, interpretable, computationally efficient, and generalizable models. ... -
Combining Reinforcement Learning and Robotic Vision for Human-Machine Cooperation
(Master thesis, 2022)Maskiner har påvirket livene våre i årtusener, helt siden romerne først konstruerte vannturbiner for å drive mekaniske enheter brukt i produksjon av mel i industriell skala. Fremskritt innen vitenskap og teknologi bringer ... -
Combining system identification with reinforcement learning-based MPC
(Peer reviewed; Journal article, 2020)In this paper we propose and compare methods for combining system identification (SYSID) and reinforcement learning (RL) in the context of data-driven model predictive control (MPC). Assuming a known model structure of the ...