Blar i Institutt for teknisk kybernetikk på tidsskrift "American Control Conference (ACC)"
Viser treff 1-20 av 25
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A multiple model adaptive architecture for the state estimation in discrete-time uncertain LPV systems
(Journal article, 2017)This paper addresses the problem of multiple model adaptive estimation (MMAE) for discrete-time linear parameter varying (LPV) systems that are affected by parametric uncertainty. The MMAE system relies on a finite number ... -
Adaptive Boundary Observer for Nonlinear Hyperbolic Systems: Design and Field Testing in Managed Pressure Drilling
(Journal article; Peer reviewed, 2015)The present paper develops an adaptive boundary observer for systems modeled by nonlinear hyperbolic PDEs with limited number of measurements. The design is based on the backstepping method and relies only on one boundary ... -
Adaptive Control of a Scalar 1-D Linear Hyperbolic PDE with Uncertain Transport Speed Using Boundary Sensing
(Peer reviewed; Journal article, 2020)We solve an adaptive boundary control problem for an 1-D linear hyperbolic partial differential equation (PDE) with an uncertain in-domain source parameter and uncertain transport speed using boundary sensing only. Convergence ... -
Adaptive sampling for UAV sensor network in oil spill management
(Peer reviewed; Journal article, 2021)In this paper we propose a method for adaptive sampling using Unmanned Aerial Vehicles (UAVs) in oil spill management. The goal is to measure and estimate oil spill concentrations at the sea surface, while at the same time ... -
An Adaptive Observer Design for 2×2 Semi-linear Hyperbolic Systems using Distributed Sensing
(Journal article; Peer reviewed, 2019)We design an adaptive model-based observer for state and parameter estimation in 2 × 2 semi-linear hyperbolic systems with uncertain parameters where we assume that one of the two distributed states is available through ... -
Anti-Slug Control Experiments Using Nonlinear Observers
(Journal article; Peer reviewed, 2013)Abstract: To prevent slug-flow on offshore oil production units, controlling a subsea pressure is the recommended solution. However, the subsea pressure is not often available as a measurement. The top-side pressure is ... -
Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning
(Peer reviewed; Journal article, 2022)We investigate the effect of including application knowledge about a robotic system states’ causal relations when generating explanations of deep neural network policies. To this end, we compare two methods from explainable ... -
Constructing transverse coordinates for orbital stabilization of periodic trajectories
(Peer reviewed; Journal article, 2020)An approach for introduction of transverse coordinates in a vicinity of a periodic trajectory is presented. The approach allows finding by numerical integration periodic normalized mutually-orthogonal vector-functions that ... -
Design and comparison of adaptive estimators for Under-Balanced Drilling
(Journal article, 2014)Real time knowledge of total mass of gas and liquid in the annulus and geological properties of the reservoir is very useful in many active controllers, fault detection systems and safety applications in the well during ... -
Distributed learning for wind farm optimization with Gaussian processes
(Journal article; Peer reviewed, 2020) -
Extremum seeking for real-time optimal drilling control
(Peer reviewed; Journal article, 2019)This paper demonstrate the feasibility and illustrates some challenges of applying extremum seeking control to online optimization of the drilling process. Specifically, we consider the problem of finding the hook-load ... -
Extremum-seeking control for steady-state performance optimization of nonlinear plants with time-varying steady-state outputs
(Journal article; Peer reviewed, 2018)Extremum-seeking control is a useful tool for the steady-state performance optimization of plants for which the dynamics and disturbance situation can be unknown. The case when steady-state plant outputs are constant ... -
Frequency domain analysis of robust demodulators for high-speed atomic force microscopy
(Journal article; Peer reviewed, 2017)A fundamental but often overlooked component in the z-axis feedback loop of the atomic force microscope (AFM) operated in dynamic mode is the demodulator. Its purpose is to obtain a preferably fast and low-noise estimate ... -
Globally Exponentially Stable Aided Inertial Navigation with hydroacoustic Measurements from A Single Transponder
(Journal article; Peer reviewed, 2017)This paper provides a novel formulation relating underwater range measurements to body-fixed position when several acoustic transceivers are mounted on the vehicle and only one transponder is placed in the vehicle's ... -
Glucose-insulin metabolism model reduction and parameter selection using sensitivity analysis
(Journal article; Peer reviewed, 2019)Glucose-insulin metabolism models are useful tools for research on diabetes, in development of diabetes-related medical devices like artificial pancreas systems, insulin pumps and continuous glucose monitors, and may also ... -
Hydroacoustically Aided Inertial Navigation for Joint Position and Attitude Estimation in Absence of Magnetic Field Measurements
(Journal article; Peer reviewed, 2017)When an underwater intervention vehicle is close to large metallic structures, e.g. subsea oil and gas facilities, magnetic disturbances might render magnetic field measurements biased or useless. This loss of information ... -
Maximum Hands-Off Attitude Control
(Peer reviewed; Journal article, 2022)In this paper, we explore the use of maximum hands-off control for attitude control of a spacecraft actuated by reaction wheels. The maximum hands-off, or L 0 -optimal, controller aims to find the sparsest control signal ... -
Minimum Time Disturbance Rejection and Tracking Control of n+m Linear Hyperbolic PDEs
(Journal article; Peer reviewed, 2018)We extend recent results regarding disturbance rejection control of n+m linear hyperbolic partial differential equations (PDEs) in a number of ways: 1) We allow spatially varying coefficients; 2) The disturbance is allowed ... -
Neural Network-based Model Predictive Control with Input-to-State Stability
(Peer reviewed; Journal article, 2021)Learning-based controllers, and especially learning-based model predictive controllers, have been used for a number of different applications with great success. In spite of good performance, a lot of these cases lack ... -
On the globally exponentially convergent immersion and invariance speed observer for mechanical systems
(Journal article; Peer reviewed, 2017)In this article we present a reformulation of the invariance and immersion speed observer of Astolfi et al. as applied to mechanical systems with bounded inertia matrices. This is done to explore the possibility of its ...