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In this paper we consider calibration of hydraulic models for district heating networks based on operational data. We extend previous theoretical work on the topic to handle real-world complications, namely unknown valve characteristics and hysteresis. We generate two datasets in the Smart Water Infrastructure Laboratory in Aalborg, Denmark, on which we evaluate the proposed procedure. In the firs
We consider control of multiple stable first-order systems which have a control coupling described by an M-matrix. These agents are subject to incremental sector-bounded nonlinearities. We show that such plants can be globally asymptotically stabilized to a unique equilibrium using fully decentralized proportional integral anti-windup-equipped controllers subject to local tuning rules. In addition
Context: Evidence-based software engineering (EBSE) aims to improve research utilization in practice. It relies on systematic methods to identify, appraise, and synthesize existing research findings to answer questions of interest for practice. However, the lack of practitioners’ involvement in these studies’ design, execution, and reporting indicates a lack of appreciation for the need for knowle
The rise of water-based electromagnetic devices opens up new possibilities for controlling electromagnetic performance due to the liquid state of crucial parts of the device. This letter proposes the siphon mechanism as a novel way to achieve reconfigurability in these types of electromagnetic devices. To demonstrate this, a simple polarization-reconfigurable device based on a siphon is introduced
This paper derives theoretical results for adaptive bias in Doherty amplifiers and presents the design and measurements of an integrated adaptive bias circuit tailored for high peak-to-average high bandwidth signals. Fundamental equations for output power, impedance, and efficiency of the complete Doherty amplifier are derived. Even with ideal transistor models, the Doherty amplifier is fundamenta
New results on continuous time nonlinear consensus under varying topology are presented. The results are proved utilizing non Lyapunov based methods, i.e., the Hilbert metric, showing the possibility of further investigation of Hilbert metric for consensus and synchronization problems.
In this paper we provide an analytical solution to an H2 optimal control problem, that applies whenever the process corresponds to a uniformly damped network of masses and springs. The solution covers both stable and unstable systems, and illustrates analytically how damping affects the levels of achievable performance. Furthermore, the resulting optimal controllers can be synthesised using passiv
This paper examines the local exponential stability (LES) of trajectories for nonlinear systems on Riemannian manifolds. We present necessary and sufficient conditions for LES of a trajectory on a Riemannian manifold by analyzing the complete lift of the system along the given trajectory. These conditions are coordinate-free which reveal fundamental relationships between exponential stability and
The need for autonomous robot systems in both the service and the industrial domain is larger than ever. In the latter, the transition to small batches or even “batch size 1” in production created a need for robot control system architectures that can provide the required flexibility. Such architectures must not only have a sufficient knowledge integration framework. It must also support autonomou
Introduction: Extrauterine pregnancy (EP), represents a significant challenge in reproductive medicine, manifesting in approximately 2% of all pregnancies, primarily implanting within the fallopian tubes (95%). Surgery remains a cornerstone in the therapeutic options for ectopic pregnancies. The most common surgical approach at the moment is laparoscopy. However a relatively new surgical technique
Beijing is particularly prone to frequent wintertime haze episodes. In this study, we introduce the FLEXPART (FLEXible PARTicle dispersion model) and SOSAA (the model to Simulate the concentration of Organic vapors, Sulfuric Acid, and Aerosols) modeling system for air quality analysis and applied the newly developed modeling system to a severe pollution episode during a case study in Beijing in No
Precise statistics about crop types and productions can support establishing more efficient decisions in the food security framework. The applicability of remote sensing imagery has been confirmed worldwide in crop-related studies. In this chapter, time series Sentinel-1 and Sentinel-2 images were integrated, along with crop inventory, to generate crop-type maps in Imperial County, CA, USA, within
Remembering everyday events involves noticing what different experiences share and preserving the details that set them apart, yet the neural processes supporting this balance remain unclear. Here, we record EEG while participants view naturalistic movie scenes that introduce episodic events with overlapping elements. Using time-resolved representational similarity analysis, we find that these eve
This study investigates the neural encoding of speech features in hearing aid users using electroencephalography (EEG) during a simulated cocktail party scenario. The objective was to investigate neural tracking of various acoustic and linguistic features and how hearing aid noise reduction influenced this tracking. The features analyzed included the acoustic envelope, phonetic features, word onse
BackgroundSuicide is a leading cause of premature mortality worldwide, but the impact of system-level mental health resources remains unclear despite the central role of psychiatric inpatient care and declining bed capacity. Prior research has yielded inconsistent findings with limited control for confounding. We aimed to estimate the effect of psychiatric inpatient bed availability on suicide mor
Finger tapping to isochronous pacing stimuli is a well established experimental paradigm first described in the late 19th century. Two variables of common interest in rhythmic tapping tasks are timing variability and constant error. However, a difficulty when estimating these variables is that at interstimulus intervals longer than 2 seconds participants regularly overshoot the target interval and
