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A summary of a study covering both modelling and control of a drum boiler is presented. A systematic approach to the modelling problem - numerical modelbuilding - is introduced. This technique was applied to the modelling of the drum of the boiler. The dynamics of different order models were compared. The load disturbances were modelled from measurements as a stationary stochastic process with rat
Popular Abstract in Swedish De flesta komponenter som används i vårt samhälle har genomgått en bearbetningsprocess i något skede i sin tillverkningscykel. På grund av detta spelar de ekonomiska aspekterna av bearbetningsprocessen en viktig roll i tillverkningskostnaden. Det finns flera skäl till att utveckla ett rationellt förhållningssätt till skärande bearbetning, såsom att förbättra skärteknik,Most components in use in our society have undergone a machining process at some stage within its manufacturing cycle. As a result, the economics of the machining process plays an important role in the manufacturing costs. There are several reasons for developing a rational approach to material removal, such as improving cutting techniques, producing products with enhanced precision, and increasin
A single antenna based virtual antenna array at the receiver can be used to find direction of different incoming radio signals impinging at the receiver. In this paper, we investigate the performance of random 3D virtual antenna arrays for DoA estimation. We have computed a Cramer-Rao Lower Bound (CRLB) for DoA estimation if the true antenna positions are not known, but these are estimated with an
This study presents a novel approach for object detection and tracking in aerial images using a multi-scale Northern Goshawk Pyramid Generative Adversarial Network (NGPGAN). The research evaluates different algorithms and features to identify people, trees, cars, and buildings in real-world drone videos, addressing challenges in pinpointing specific objects among multiple entities. Object detectio
Real-time fault monitoring and control of the Vacuum Assisted Resin Transfer Moulding production process requires knowledge of the position of the epoxy flow-front inside the mould. Therefore, a fast and accurate flow-front tracking system is highly prized. Physics-informed grey-box models deliver a good trade-off between high fidelity and data-driven black-box models for designing such a flow-fro
Cellular radio based localization can be an important complement or alternative to other localization technologies, as base stations continuously transmit signals of opportunity with beneficial positioning properties. In this paper, we use the long term evolution (LTE) cell-specific reference signal for this purpose. The multipath component delays are estimated by the ESPRIT algorithm, and the est
A new approach to the problem of estimating parameter in material models is presented. The approach is based on a state space representation of the constitutive equations and one step predictions. The differences between one-step predictions and the corresponding measurements are used to design generic one-step prediction error estimators, and in particular, the maximum likelihood method is presen
This paper is concerned with the estimation of unknown drift functions of stochastic differential equations (SDEs) from observations of their sample paths. We propose to formulate this as a non-parametric Gaussian process regression problem and use an Ito-Taylor expansion for approximating the SDE. To address the computational complexity problem of Gaussian process regression, we cast the model in
The master thesis seeks to develop a control system for the Crazyflie 2.0 unmanned aerial vehicle to enable aggressive and autonomous flight. For this purpose, different rigid-body models are considered, differing primarily in their parametrisation of rotation. The property of differential flatness is explored and several means of parametrising trajectories in at output space are implemented. A ne
Liner shipping, which provides transportation by ships operating on a regular schedule between specified ports in accordance with publicly available timetables of sailing dates, is now a mature industry. The various players which are part of the liner shipping industry, namely, ocean carriers, port operators, freight forwarders or consolidators, customs, hinterland haulage carriers, inland navigat
The objective was to clarify whether and how it is possible to detect, track and identify with an EO/IR (electro optical/infrared) sensor. Moreover, the sight of robotic system 90 was tested in order to clarify the possibilities of using it as a sensor. The sight has a field of view of 3x4° with the TV camera and 4x6° with the IRV camera. Therefore, the project focused on a moving sensor, in order
Lane association is the problem of determining in which lane a vehicle is currently driving, which is of interest for automated driving where the vehicle must understand its surroundings. Limited to highway scenarios, a method combining data from different sensors to extract information about the currently associated lane is presented. The suggested method splits the problem in two main parts, la
Operating lignocellulosic fermentation processes to produce fuels and chemicals is challenging due to the inherent complexity and variability of the fermentation media. Real-time monitoring is necessary to compensate for these challenges, but the traditional process monitoring methods fail to deliver actionable information that can be used to implement advanced control strategies. In this study, a
The topic of this paper is linear optimal prediction of hidden Markov models (HMMs) and innovations representations of HMMs. Our interest in these topics primarily arise from subspace estimation methods, which are intrinsically linked to such representations. For HMMs, derivation of innovations representations is complicated by non-minimality of the corresponding state space representations, and r
This paper presents an algorithm for Model Predictive Control of SISO systems. Based on a quadratic objective in addition to (hard) input constraints it features soft upper as well as lower constraints on the output and an input rate-of-change penalty term. It keeps the deterministic and stochastic model parts separate. The controller is designed based on the deterministic model, while the Kalman
We study an image-based visual servoing system implemented on a non-dedicated network with non-deterministic computational nodes. A problem is that time delays are typically non-deterministic and variable and may cause significant degradation of control system performance, stability and robustness if not compensated for. Another problem is the presence of noise due to information loss and measurem
