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Minimax dual control with finite-dimensional information state

Artikeln behandlar utsignalåterkoppling av system där funktionen som avbildar tillstånden på mätsignarlerna har en mängdvärd invers.Vi visar att om mängden har begränsad kardinalitet, så går det att komprimera historiken till en ändlig vektor som beräknas rekursivt.Resultatet exemplifieras på diskrettidsintegratorn där mätsignalen är absolutbeloppet av tillståndet och får fram en förvånandsvärt enThis article considers output-feedback control of systems where the function mapping states to measurements has a set-valued inverse. We show that if the set has a bounded number of elements, then minimax dual control of such systems admits finite-dimensional information states. We specialize our results to a discrete-time integrator with magnitude measurements and derive a surprisingly simple sub

Landscapes of Hybrid Activism : ‘New Welfarism’ Revisited in the Case of the Danish ‘Turbo Chicken’ Campaign

This chapter explores the Danish case of a years-long campaign to phase out the “production” of the fast-growing industrial chicken breed, Ross 308. Core differences between welfarism, new welfarism, and abolitionist positions of rights and liberation are outlined - and it is investigated how activists navigate the tensions between these approaches in practice. The case makes visible a tangled ter

Minimax Performance Limits for Multiple-Model Estimation

Artikeln behandlar fundamentala prestandabegränsningar för strikt kausala tillståndsskattningar hos linjära system som beskrivs av ett ändligt antal modeller. Systemet antas beskrivas korrekt av en av modellerna, men det är okänt vilken av kandidaterna som är korrekt. Vi ger metoder för att beräkna övre- och undre begränsningar på minimax prestanda, defininerad som förstärkningen från störningar tThis article concerns the performance limits of strictly causal state estimation for linear systems with fixed, but uncertain, parameters belonging to a finite set. In particular, we provide upper and lower bounds on the smallest achievable gain from disturbances to the point-wise estimation error. The bounds rely on forward and backward Riccati recursions-one forward recursion for each feasible m

VR-assisted aggression treatment in forensic psychiatry : a qualitative study in patients with severe mental disorders

Introduction: Improvements in virtual reality (VR) have made it possible to create realistic, virtual settings for behavioral assessment and skills training that cannot otherwise be accessed in a safe way in forensic psychiatric settings. VR interventions are under development but little is known how forensic psychiatric patients with severe mental disorders experience VR-assisted assessments or t

Severe Cognitive Impairment in Trauma-Affected Refugees—Exploring the Impact of Traumatic Brain Injury

Background/Objectives: This study explores the relationship between cognitive performance measured by the Symbol Digit Modality Test (SDMT) and the severity of self-reported head injury, traumatic brain injury (TBI), post-traumatic stress disorder (PTSD), depression, pain, and psychosocial dysfunction in a population of trauma-affected refugees. Refugees, especially those who have been subjected t

Multilevel barriers to guideline implementation - a nationwide multi- professional cross- sectional study within child and adolescent psychiatry

Background: Despite efforts to promote guideline use, guideline adoption is often suboptimal due to failure to identify and address relevant barriers. Barriers vary not only between guidelines but also between settings, intended users, and targeted patients. Multi-professional guidelines are often used in child and adolescent mental health services (CAMHS), making the implementation process more d

Artificial Intelligence, Datafication and Exploring the Minimum Content of Nationality

The paper examines how the increasing datafication of society and advancements in artificial intelligence (AI) offer new empirical opportunities to better understand the Minimum Content of Nationality (MCN). Despite the critical importance of the MCN in statelessness, it has largely been ignored in academic and policy circles. The ambiguity that results from this lack of engagement greatly complic

Subspace Correction and Domain Decomposition Methods for Total Variation Minimization

The minimization of the total variation is a well-established technique of preservingedges and discontinuities. Therefore it has wide applicability in image processing,where one is interested in recovering a corrupted image while preserving edges inthe image. In the last decades, in the literature, there have been introduced manydifferent approaches and algorithms for minimizing the total variatio

Anisotropic Beer-Lambert law in β - Ga2 O3 : Polarization-dependent absorption and photoresponsivity spectra

Due to its low symmetry, β-Ga2O3 exhibits a strongly anisotropic optical response. As a result, the absorption spectra change with the polarization state of the incoming photons. To understand this phenomenon, here we calculate the complete electromagnetic wave equation solutions as a function of linear polarization angle and photon energy for β-Ga2O3 using its previously measured complex dielectr

Art, pictoriality and semiotics - A reflection on Göran Sonesson's contribution to art theory

This reflection on Göran Sonesson's writings and theoretical engagement in art is also a survey of a set of semiotic concepts related to this area. As a semiotician Sonesson wrote about varying sub-genres like fine art, photography, film and architecture. The reflection is also a personal recollection - as a colleague, friend and participant in the Lund circle of semiotics - of ideas and discussio

Commemorating a war that never came : The Cold War as counter-factual war memory

The Cold War never became the global World War III. It was a war that never broke out. Nevertheless, in some countries like for instance Denmark it is commemorated as exactly that: a war. This is particularly apparent at museums and heritage sites, where the narrative and mnemonic frame works used and activated in the representations stem from cultural memories of the Second World War. In the proc

Globally Optimal Relative Pose Estimation with Gravity Prior

Smartphones, tablets and camera systems used, e.g., in cars and UAVs, are typically equipped with IMUs (inertial measurement units) that can measure the gravity vector accurately. Using this additional information, the y-axes of the cameras can be aligned, reducing their relative orientation to a single degree-of-freedom. With this assumption, we propose a novel globally optimal solver, minimizing

Modesty as a Condition for Circular Economy Transition Success

Modesty as a Condition for Circular Economy Transition SuccessThe Promise and Challenges of a Circular Economy TransitionThe circular economy offers much promise. Circularity is meant to be a pathway to material efficiency, energy transitions, green jobs, profitable business opportunities, reduced volatility in price of inputs, secured supplies of critical materials, increased customer experiences

Homography-Based Minimal-Case Relative Pose Estimation With Known Gravity Direction

In this paper, we propose a novel approach to two-view minimal-case relative pose problems based on homography with known gravity direction. This case is relevant to smart phones, tablets, and other camera-IMU (Inertial measurement unit) systems which have accelerometers to measure the gravity vector. We explore the rank-1 constraint on the difference between the euclidean homography matrix and th

Minimal Solutions to Relative Pose Estimation From Two Views Sharing a Common Direction With Unknown Focal Length

We propose minimal solutions to relative pose estimation problem from two views sharing a common direction with unknown focal length. This is relevant for cameras equipped with an IMU (inertial measurement unit), e.g., smart phones, tablets. Similar to the 6-point algorithm for two cameras with unknown but equal focal lengths and 7-point algorithm for two cameras with different and unknown focal l

An Efficient Solution to the Homography-Based Relative Pose Problem With a Common Reference Direction

In this paper, we propose a novel approach to two-view minimal-case relative pose problems based on homography with a common reference direction. We explore the rank-1 constraint on the difference between the Euclidean homography matrix and the corresponding rotation, and propose an efficient two-step solution for solving both the calibrated and partially calibrated (unknown focal length) problems