This paper concerns control of a class of systems where multiple dynamically stable agents share a nonlinear and bounded control-interconnection. The agents are subject to a disturbance which is too large to reject with the available control action, making it impossible to stabilize all agents in their desired states. In this nonlinear setting, we consider two different anti-windup equipped propor

Context:Bug reports created during software development and maintenance do not always describe deviations from a system’s valid behavior. Such invalid bug reports may consume significant resources and adversely affect the prioritization and resolution of valid bug reports. There is a need to identify preventive actions to reduce the inflow of invalid bug reports. Existing research has shown that m

Purpose This study reports on the development of an auditory passage comprehension task for Swedish primary school children of cultural and linguistic diversity. It also reports on their performance on the task in quiet and in noise. Method Eighty-eight children aged 7-9 years and showing normal hearing participated. The children were divided into three groups based on presumed language exposure:

We present an explicit solution to the discrete-time Bellman equation for minimax optimal control of positive systems under unconstrained disturbances. The primary contribution of our result relies on deducing a bound for the disturbance penalty, which characterizes the existence of a finite solution to the problem class. Moreover, this constraint on the disturbance penalty reveals that, in scenar

Contextual shifts are crucial for episodic memory, setting event boundaries during event segmentation. While lab research provides insights, it often lacks the complexity of real-world experiences. We addressed this gap by examining perceptual and conceptual boundaries using virtual reality (VR). Participants acted as salespeople, interacting with customers in a VR environment. Spatial boundaries

Episodic memory allows the flexible retrieval of commonalities and idiosyncrasies of overlapping life events. For example, seeing a woman in the city with your colleague's daughter may form an integrated memory representation involving the woman and your colleague. However, you may also keep a specific representation of the city event to talk with your colleague about the circumstances of having m

This study investigates how the brain encodes episodic events to support diverse memory functions. Thirty-six participants viewed movies simulating real-life interactions while EEG was recorded. They first watched movies featuring two characters (AB), followed by scenes where one original character interacted with a new one (BC). Memory was assessed for direct (AB and BC), indirect (AC) associatio

AUDIOLOGIUTBILDNINGEN TERMIN 7 A14/MAGISTER TIDSPERIOD: HT-17 UPPDATERAT: 170609 1 v. 35 Tid Lokal Titel Föreläsare Måndag 28/8 10.15-11.00 13.15-14.00 14.15-15.00 15.15-17.00 F1 F4, Kioskgatan 21 F4, Kioskgatan 21 F4, Kioskgatan 21 Terminsintroduktion A14, magister T1 AUDN72 Vetenskapsmetodik I, kursintro Psykometri, introduktion Psykometri I Boel Heister Trygg, Kajsa Johansson Jonas Brännström M

https://www.student.med.lu.se/sites/student.med.lu.se/files/schema_magister_audiologi_t_1_t7_2017.pdf - 2025-05-20

Human–robot collaboration (HRC) in manufacturing environments requires that physical safety can be guaranteed. Control methods that implicitly regulate the interaction forces between a controlled robot and its environment, such as impedance control, are often used for safety in HRC. However, these methods could be complemented by restricting the robot operational space for additional safety guaran

In this paper, an iterative learning strategy was developed to improve trajectory tracking for an impedance-controlled robot manipulator. In this learning strategy, an update law was proposed to modify the Cartesian reference of an impedance controller. Also, the conditions that ensure its convergence considering the dynamics of the robot were derived. Finally, an experimental evaluation was perfo

This paper introduces an improved method for real-time brain computer interface control. We demonstrate how Bayesian optimization and feedback can be used to achieve faster statistical convergence by controlling the sequence of stimuli shown in a brain computer interface based on a visual oddball paradigm.

The PID controller is the by far most frequently employed type of controller. As you read, billions of digitally implemented PID controllers are running, shaping the dynamic behavior of anything from the fan speed in your laptop to safety-critical components in nuclear power plants. Given the abundance of commissioned PID controllers, it is surprisingly hard to find a single source that provides a

Gaze-control and gaze-assistance in software development tools have so far been explored in the setting of code editing, but other developer activities like code review could also benefit from this kind of tool support.In this paper, we present GANDER, a platform for user studies on gaze-assisted code review. As a proof of concept, we extend the platform with an assistant that highlights name rela

With increased autonomy in marine vessels, autonomous surface vessels (ASVs) and conventionally manned vessels need to coexist at sea. Any relocation needs to include collision avoidance according to the traffic rules at sea, COLREGs. Here, a local collision-avoidance planner for an archipelago environment is presented. The optimization-based local planner presented considers a predefined nominal

This paper presents a novel domain adaptation framework to enhance the accuracy of EEG-based auditory attention classification, specifically for classifying the direction (left or right) of attended speech. The framework aims to improve the performances for subjects with initially low classification accuracy, overcoming challenges posed by instrumental and human factors. Limited dataset size, vari

Effectively identifying deviations in real-world medical time-series data is a critical endeavor, essential for early surveillance of disease outbreaks. This paper demonstrates the integration of time-series anomaly detection techniques to develop surveillance systems for disease outbreaks. Utilizing data from Sweden's telephone counseling service (1177), we first illustrate the trends in physical

Optimization of vehicle maneuvers using dynamic models in constrained spaces is challenging. Homotopic optimization, which has shown success for vehicle maneuvers with kinematic models, is studied in the case where the vehicle model is governed by dynamic equations considering road-tire interactions. This method involves a sequence of optimization problems that start with a large free space. By it

The potential of additional steering possibilities (like rear-wheel or all-wheel steering) is analyzed for critical situations to investigate possible safety improvements. For this purpose, a dynamic optimization problem is formulated to find the best possible maneuver. The optimization criterion is to maximize the entry speed into a constant radius 90°-curve. The optimization problem is solved fo

Distributed massive multiple-input multiple-output (D-MIMO) has been identified as a promising technology to meet the service requirements of 6 G wireless networks and beyond. The coordination between a massive number of distributed antennas introduces stiff challenges and requires a substantial amount of computing resources that must be put together with careful algorithm-architecture codesign. T

Anxiety before an MRI examination is common, even though the technique is noninvasive and painless. In a 7T MRI study, healthy volunteers also reported anxiety before the examination. This study aimed to assess anxiety levels in healthy individuals undergoing 7T MRI and to determine if their anxiety decreased during subsequent examinations. Participants filled out a questionnaire on anxiety. Eleve