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In this paper extrema1 control of a simple nonlinear stochastic system is analyzed. The process is modeled as a generalized Hammerstein model. Different problem formulations are discussed and the performances of the resulting nonlinear adaptive controllers are investigated. The adaptive controllers are based on on-line estimation of the parameters of the process and the certainty equivalence princ
This paper gives examples of industrial adaptive controllers and of true industrial applications of adaptive control. Adaptive control algorithms are found in single-loop controllers as well as in distributed control systems. The applications are from a wide range of industries, from process control to engine control in cars.
The article describes and analyzes how random time delays effect control loops that are closed over a communication network. Analysis as well as LQG-design are presented. The optimal controller is using timestamps to determine the timedelay between the sensor and the controller.
Every day we perform several recurring activities with little or no guidance from conscious intention. These daily and repetitive actions are often referred to as habits. The situation with Covid-19 has had a dramatic impact on how we go about our daily lives and how we interact with other persons at home or at work. In relation to working life one specific aspect was that many office workers were
In this paper we study the problem of minimum variance prediction for linear time-varying systems. We consider the standard time-varying autoregression moving average (ARMA) model and develop a predictor which guarantees minimum variance prediction for a large class of linear time-varying systems. The predictor is developed based on a pseudocommutation technique for dealing with noncommutativity o
The selections of design method and design specifications for sampled-data adaptive controllers are discussed. The following issues are considered: choice of design method, choice and effect of sampling frequency and antialiasing filters, interplay between estimation and design, and implementation aspects and numerics.
Recent theories on the growth of continental crust stress its formation in pre-Archean and Archean times with minor additions at later times. The Earth has gone through a unidirectional evolution including surface changes, the genesis of life and an important loss of energy. The energy loss drives tectonic processes, but at a rate declining with available energy and thus with time. Semiquantitativ
Bio-separation plays a crucial role in many areas. Different polymers are suitable for bio-separation and are useful for applications in applications in both science and technology. Besides biopolymers, there are a broad spectrum of synthetic polymers with tailor-made properties. The synthetic polymers are characterized by their charges, solubility, hydrophilicity/hydrophobicity, sensitivity to en
Basal metabolic rate (BMR) constitutes the lowest metabolic rate in a resting animal and is, therefore, considered to reflect the energetic cost of maintenance in endotherms. BMR is a reversible plastic trait that changes with environmental and ecological circumstances, albeit being heritable and susceptible to selection. Inter-individual variation within populations of small birds is substantial,
BACKGROUND: The principles of palliative care were developed in hospices and specialised palliative care units and have not been sufficiently adapted to and evaluated in nursing homes. Therefore, an educational intervention from an interprofessional education perspective was performed within the project Implementation of Knowledge-Based Palliative Care in Nursing Homes. The aim of this study was t
Dying in older persons precedes often by a prolonged period of frailty and multimorbidity. The global increase in the aged population means more death at an older age and highlights the need to integrate palliative care in elderly care. Knowledge-based palliative care is lacking outside the specialist units, for which reason there is insufficient access to palliative care for older persons. Thus t
We describe the outcome of a data challenge conducted as part of the Dark Machines (https://www.darkmachines.org) initiative and the Les Houches 2019 workshop on Physics at TeV colliders. The challenged aims to detect signals of new physics at the Large Hadron Collider (LHC) using unsupervised machine learning algorithms. First, we propose how an anomaly score could be implemented to define model-
Many insect-pollinated plants use floral scent signals to attract and guide the effective pollinators, and temporal patterns of their floral scent emission may be tuned to respond to the pollinator's activity and pollination status. In the intimate nursery pollination mutualism between monoecious Glochidion trees (Phyllanthaceae) and Epicephala moths (Gracillariidae), floral scent signals mediate
Cloud computing has emerged as a key technology in the latest decade and continues to be applied to manage the computing needs of new domains. As a result, the requirements on predictable behavior in the cloud increase, thus the hosted applications need to be recognized as both fault-tolerant and responsive even under difficult conditions.In this thesis, new modeling methods and decision-making st
BackgroundLiver metastases are a common consequence of colorectal cancer. When feasible, surgical resection is first-line treatment. Synchronous disease can be treated with different strategies. Traditionally, the primary tumour is resected first followed by resection of the liver metastases (bowel-first). The other option, which is increasing, is the liver-first strategy, where resection of the l
Contributing to research on civil society elites in the EU context, this articlefocuses on the European Economic and Social Committee (EESC). It exploreswho the main actors are, what roles they play, and what resources they use,value, and compete for in this arena. The theoretical starting points aregrounded in Bourdieu’s notions of field and capital and a Goffmanesqueapproach to drama. Based on s
