Having a accurate model of a system is essential for many applications today, especially those related to advanced process control. When executing a project often a lot of time is spent performing experiments on the real system to estimate a model. By designing higher quality experiments the time needed to estimate and identify these models can be reduced saving both resources and engineering efforts. This masters thesis investigates optimal input design to minimize the time needed to identify a linear time-invariant multivariable system fulfilling certain requirements on the model accuracy. Previous input designs mostly focused on sequential excitation but here the effects of using combined simultaneous and sequential excitation is investigated. The design is performed in simulations and evaluated in closed loop using a model predictive controller to further guarantee that the output constraints are not violated. The results indicate that there are many cases where using combined simultaneous and sequential excitation outperforms the previous methods. The effects of the color of the noise on the input design is investigated and the ability of different designs to estimate system delay is also studied. In addition it is shown how an iterative scheme can be used to guarantee that the accuracy requirements on the estimated model are met. / Att ha en god modell av ett system är viktigt för många applikationer idag, särskilt de som är relaterade till avancerad processtyrning. När man genomför ett projekt läggs ofta mycket tid på att utföra experiment på det verkliga systemet för att identifiera en modell. Genom att utforma experiment av hög kvalitet kan den tid som behövs för att identifiera dessa modeller minskas, vilket minimerar både processpåverkan och ingenjörsinsatsen. Denna masteruppsats undersöker metoder för optimal experimentdesign för att minimera tiden som behövs för att identifiera ett multivariabelt system där det finns krav på modellens noggrannhet. Tidigare metoder fokuserade mest på sekventiella experiment, men här undersöks effekterna av att använda en kombination av samtidiga och sekventiella experiment. Här används simuleringar som utvärderas i sluten loop med hjälp av en modellprediktiv regulator för att undvika att utsignalbegränsningarna inte överskrids. Resultatet indikerar att det finns många fall där användning av kombinerade samtidiga och sekventiella experiment överträffar tidigare metoder. Effekterna av färgat brus på ingångsdesignen undersöks och olika metoders förmåga att uppskatta systemfördröjning studeras också. Dessutom visas hur ett iterativt schema kan användas för att garantera att noggrannhetskraven på den uppskattade modellen uppfylls.

Optical current sensors (OCSs) are initially developed to measure relatively large current over a wide range of frequency band. They are also used as protective devices in the event a fault occurs due to a short circuit, in the power generation and distribution industries. The basic principal used in OCS is the Faraday effect. When a light guiding faraday medium is placed in a magnetic field which is produced by the current flowing in the conductor around the magnetic core, the plane of polarization of the linearly polarized light is rotated. The angle of rotation is proportional to the magnetic field strength, proportionality constant and the interaction length. The proportionality constant is the Verdet constant V (λ, T), which is dependent on both temperature and wavelength of the light. Opto electrical methods are used to measure the angle of rotation of the polarization plane. By measuring the angle the current flowing in the current carrying conductor can be calculated. But the accuracy of the OCS is lost of the angle of rotation of the polarization plane is dependent on the Verdet constant, apart from the magnetic field strength. As temperature increases the Verdet constant decreases, so the angle of rotation decreases. To compensate the effect of temperature on the OCS, a new method has been proposed. The current and temperature are measured with the help of a duel frequency method. To detect the line current in the conductor or coil, a small signal from the line current is fed to the reference of the lock in. To detect the temperature, the coil is excited with an electrical signal of a frequency different from the line frequency, and a small sample of this frequency signal is applied to the reference of the lock in. The temperature and current readings obtained are look up at the database value to give the actual output. Controlled environment is maintained to record the values in the database that maps the current and temperature magnitude values at the DSP lock in amplifier, to the actual temperature and current. By this method we can achieve better compensation to the temperature changes, with a large dynamic range and better sensitivity and accuracy.

In this thesis two previously separate fields of study are brought together: optical micromanipulation and ultrashort laser research. Here, the benefits of combining the high peak powers of ultrashort pulsed lasers and conventional optical micromanipulation techniques are explored. As optical trapping has been studied extensively, the focus of this research is on optical guiding. Moreover, the emphasis is on the use of Bessel beams as these have been shown to offer greater guiding distances than comparable Gaussian beams. The studies within this thesis show that optical guiding in Bessel and Gaussian beams is governed by the average power of the laser. However, the benefits of guiding with ultrashort pulsed lasers to exploit multi-photon processes become evident as the demonstration of simultaneous optical guiding and second harmonic generation in microscopic nonlinear crystal fragments is detailed. This work is developed by using ultrashort pulses to induce two-photon excitation-induced fluorescence in the guiding medium. This allows direct visualisation of the beam-particle interaction and measurement of the reconstruction of the Bessel beam around an object. Some studies using two-photon excitation to investigate Bessel beam penetration through turbid media are discussed. Finally, the work is concluded by exploring the use of pulsed white-light lasers in optical guiding. The wavelength-dependent propagation and reconstruction properties of the white-light Bessel beam are studied before some preliminary optical guiding experiments are discussed. From this, the broad bandwidth of the supercontinuum source is found to offer extended guiding distances in Gaussian beams thereby negating the need for Bessel beams.

Rett Syndrome (RTT) is a neurodevelopmental disorder affecting 1 out of 10,000 females worldwide. Mutations of the X-linked MECP2 gene encoding methyl CpG binding protein 2 (MeCP2) accounts for >90% of RTT cases. People with RTT and mice with Mecp2 disruption show autonomic dysfunction, especially life-threatening breathing disorders, which involves defects in brainstem neurons for breathing controls, including neurons in the locus coeruleus (LC). Accumulating evidence obtained from Mecp2−/Y mice suggests that imbalanced excitation/inhibition or the impaired synaptic communications in central neurons plays a major role. LC neurons in Mecp2−/Ymice are hyperexcited, attributable to the deficiency in GABA synaptic inhibition. Several previous studies indicate that augmenting synaptic GABA receptors (GABARs) leads to a relief of RTT-like symptoms in mice. The extrasynaptic GABARs located outside synaptic cleft, which have the capability to produce sustained inhibition, and may be a potential therapeutic target for the rebalance of excitation/inhibition in RTT. In contrast to the rich information of the synaptic GABARs in RTT research, however, whether Mecp2 gene disruption affects the extrasynaptic GABARs remains unclear. In this study, we show evidence that the extrasynaptic GABAR mediated tonic inhibition of LC neurons was enhanced in Mecp2−/Ymice, which seems attributable to the augmented δ subunit expression. Low-dose THIP exposure, an agonist specific to δ subunit containing extrasynaptic GABARs, extended the lifespan, alleviated breathing abnormalities, enhanced motor function, and improved social behaviors of Mecp2−/Ymice. Such beneficial effects were associated with stabilization of brainstem neuronal hyperexcitability, including neurons in the LC and the mesencephalic trigeminal V nucleus (Me5), and improvement of norepinephrine (NE) biosynthesis. Such phenomena were found in symptomatic Mecp2+/− (sMecp2+/−) female mice model as well, in which the THIP exposure alleviated the hyperexcitability of both LC and Me5 neurons to a similar level as their counterparts in Mecp2−/Y mice, and improved breathing function. In identified LC neurons of sMecp2+/− mice, the hyperexcitability appeared to be determined by both MeCP2 expression and their environmental cues. In conclusion, intervention to extrasynaptic GABAAR by chronic treatment with THIP might be a therapeutic approach to RTT-like symptoms in both Mecp2−/Y and Mecp2+/− mice models and perhaps in people with RTT as well.

Most modern product development utilizes computational models. With increasing demands on reducing the product development lead-time, it becomes more important to improve the accuracy and efficiency of simulations. In addition, to improve product performance, a lot of products are designed to be lighter and more flexible, thus more prone to nonlinear behaviour. Linear finite element (FE) models, which still form the basis of numerical models used to represent mechanical structures, may not be able to predict structural behaviour with necessary accuracy when nonlinear effects are significant. Nonlinearities are often localized to joints or boundary conditions. Including nonlinear behaviour in FE-models introduces more sources of uncertainty and it is often necessary to calibrate the models with the use of experimental data. This research work presents a model calibration method that is suitable for mechanical systems with structural nonlinearities. The methodology concerns pre-test planning, parameterization, simulation methods, vibrational testing and optimization. The selection of parameters for the calibration requires physical insights together with analyses of the structure; the latter can be achieved by use of simulations. Traditional simulation methods may be computationally expensive when dealing with nonlinear systems; therefore an efficient fixed-step state-space based simulation method was developed. To gain knowledge of the accuracy of different simulation methods, the bias errors for the proposed method as well as other widespread simulation methods were studied and compared. The proposed method performs well in comparison to other simulation methods. To obtain precise estimates of the parameters, the test data should be informative of the parameters chosen and the parameters should be identifiable. Test data informativeness and parameter identifiability are coupled and they can be assessed by the Fisher information matrix (FIM). To optimize the informativeness of test data, a FIM based pre-test planning method was developed and a multi-sinusoidal excitation was designed. The steady-state responses at the side harmonics were shown to contain valuable information for model calibration of FE-models representing mechanical systems with structural nonlinearities. In this work, model calibration was made by minimizing the difference between predicted and measured multi-harmonic frequency response functions using an efficient optimization routine. The steady-state responses were calculated using the extended multi-harmonic balance method. When the parameters were calibrated, a k-fold cross validation was used to obtain parameter uncertainty. The proposed model calibration method was validated using two test-rigs, one with a geometrical nonlinearity and one with a clearance type of nonlinearity. To attain high quality data efficiently, the amplitude of the forcing harmonics was controlled at each frequency step by an off-line force feedback algorithm. The applied force was then measured and used in the numerical simulations of the responses. It was shown in the validation results that the predictions from the calibrated models agree well with the experimental results. In summary, the presented methodology concerns both theoretical and experimental aspects as it includes methods for pre-test planning, simulations, testing, calibration and validation. As such, this research work offers a complete framework and contributes to more effective and efficient analyses on mechanical systems with structural nonlinearities.

<p>U fazi razvoja traktora upotrebom računarski podržanih simulacija, neophodan je odgovarajući model pneumatika. U radu je korišćenjem neuronskih mreža razvijen originalni empirijski model geometrijskog niskopojasnog filtriranja kratkotalasnih neravnina podloge koje vrši pneumatik. Razvoj modela baziran je na sopstvenim eksperimentalnim istraživanjima posmatranog aspekta ponašanja pneumatika. Model je integrisan u globalni oscilatorni model sposoban da opiše osnovne aspekte dinamičkog ponašanja taktorskih pneumatika.</p> / <p>During tractor development phase in which computer aided simulations are used, it is necessary to use appropriate tire model. Original empirical model of tractor tire low-pass geometric filtering behavior on short-wavelength road unevenness was developed in this work by using neural networks. Model development is based on author&#39;s experimental investigations. Model is integrated into global vibration tire model able to describe basic aspects of tractor tire dynamic behavior.</p>

Dynamic characteristics of machining systems are analysed for improved understanding of both structural and process properties. The thesis stresses the use of testing methods under operational like conditions as these are more representative of closed loop systems, such as machining systems, as compared to conventional testing methods. The test instrument proposed is a contactless excitation and response system, developed for testing of machine tool spindles under load and with rotating spindle. The instrument uses electromagnetic excitation and displacement sensors for analysis of rotating milling tools subject to load. A graphical tool for displaying and analysing rotor displacement was developed in conjunction with this. A modelling procedure for both off-line and on-line estimation of dynamic properties of mechanical structure and process information is presented. The proposed auto-regressive moving average models enable calculation of operational dynamic parameters and they can be estimated in a recursive manner, thus enabling real-time monitoring. The discrimination between stable and unstable processes, both in turning and milling, was performed by analysing the damping obtained from the operational dynamic parameters. / <p>QC 20170330</p>

The aim of this research is the occurrence of symptoms of the limbic dysfunction in patients suffering from headaches. By means of the questionnaire survey method was tested group of people with this diagnosis. The basic premise is the assumption that certain symptoms, specifically abnormalities in brain activity, occur more frequently in patients with this diagnosis. The theoretical part of this thesis concentrates on the function of the temporal lobe and the limbic system, a brief outline of the characteristics of temporo-limbic dysfunction and a summary overview of headaches. The research part is addressed to the evaluation questionnaire study and answers to the questions asked. Keywords Temporal lobe, limbic system, temporolimbic dysfunction, headaches, migraine, comorbidity,questionnaire

Cette thèse propose une modélisation du bruit d'origine aérodynamique, avec une attention particulière aux mécanismes de transfert d'énergie entre l'écoulement et le milieu de propagation. Une première partie aborde le problème de la création et du transport de l'énergie acoustique en milieu aérodynamique. Trois grands courants de pensée sont identifiés : l'approche eulérienne linéarise les équations valables en cas de fluide parfait pour former une loi de conservation ; l'approche dissipative développe les équations de Navier-Stokes, fait intervenir les fluctuations de vorticité comment moteur du mouvement acoustique ou décompose la quantité de mouvement en une théorie potentielle ; l'approche lagrangienne décrit le déplacement lagrangien de la perturbation qui suit le passage de l'onde acoustique. La première est la plus naturelle. La deuxième est la plus complète et la seule à expliquer la création d'énergie par l'aérodynamique. Une théorie générale voyant l'acoustique comme le seul champ généralisé qui se trouve piégé par l'aérodynamique en découle. La dernière est la plus prometteuse pour l'avenir. Dans une deuxième partie, les moyens permettant le calcul du champ acoustique à partir d'une sollicitation surfacique sont présentés. Il s'agit de la méthode d'extrapolation des ondes de Kirchhoff basée sur la pression, la formulation de Ffowcs-Williams & Hawkings basée sur les débits, et l'intégrale de Rayleigh basée sur une vitesse vibratoire. Une troisième partie de la thèse utilise les formalismes d'excitation surfacique pour étudier la réaction du milieu acoustique à des excitations génériques sous formes de paquets d'onde, représentatives de l'aérodynamique instationnaire. La réponse acoustique est caractérisée par la direction d'émission privilégiée du rayonnement et son efficacité, défini comme le taux de transfert d'énergie entre l'excitation et son milieu. On montre notamment que l'introduction d'une dissymétrie amont-aval dans l'excitation augmente fortement son efficacité, de même que la prise en compte d'un milieu de propagation en mouvement uniforme. Dans une dernière partie, ces considérations sont étendues au rayonnement d'une couche de mélange et adaptées en se basant sur l'analogie de Liepmann. Cette approche peu répandue est une intégrale de Rayleigh dont l'excitation est la dérivée temporelle de l'épaisseur de déplacement. Les résultats sont comparés avec la base de données d'une simulation acoustique directe et des deux autres méthodes surfaciques. La directivité n'est pas retrouvée par la modélisation proposée. On montre que la prédiction des niveaux nécessite de modéliser une impédance de rayonnement. / This study proposes a model for the noise generated aerodynamically, while focusing on energy transfer mechanisms between the main flow and the propagating medium. Energy harvest in aerodynamic condition is therefore the subject of a first part. Three general trends may be identified ; the eulerian approach uses linearized Euler's equations for inviscid flows in a form of a conservation law ; the dissipating approach expands Navier-Stokes equations in series, relies on vorticity fluctuations to excite the medium or splits velocity or momentum vectors in a general potential theory ; the lagrangian approach describes the lagrangian displacement of the perturbation inherent to an acoustic wave. The first approach is the most commonly adopted. The second one is the most complete and provides aerodynamical mechanisms for energy generation. A general fashion follows where acoustics is a generalized field, trapped by a hydrodynamic impedance. The last one may be subject of close attention for future considerations. In a second part, computational models are presented with their ability to predict acoustic radiation from a surface excitation. These are the Kirchhoff formalism based on the pressure, the Ffowcs Williams & Hawkings formalism based on the mass flow rate and the Rayleigh integral based on the vibration velocity. These are applied in a third part of the study to investigate the response of the acoustic medium to a generique excitation in the form of a wavepacket, representative of unsteady aerodynamics. Such acoustic response is caracterised by its direction of maximum radiation and its efficiency, defined as the rate of energy transfer between the excitation and its surrounding medium. Introducing an upstream-downstream asymmetry in the excitation is showed to significantly enhance its efficiency, as well as a convection velocity in the propagating medium. Within these general considerations, the last part of this study models acoustic excitation in a mixing layer flow based on Liepmann's analogy. This relatively unexplored theory consists in a Rayleigh integral excited by the temporal derivative of the displacement thickness. Results are compared with direct noise computation database and two other methods of surface excitation. Directivity is likely to be found while pressure amplitude is correctly predicted by using a model for radiation impedance.

Les études épidémiologiques ont démontré un risque accru d’autisme chez les enfants nés d’une mère hospitalisée pour infection au cours de la grossesse. L’imitation d’une infection virale dans le but de déclencher une Activation Immunitaire Maternelle (MIA) a été réalisé avec succès dans des modèles animaux. Ceci a démontré qu’une MIA conduit à des altérations physiologiques et comportementales sur le long terme. Notre but consistait à étudier la présence de séquelles néonatales chez des souris nées de mère MIA. Nous avons observé que la MIA altère l’activité et la morphologie des neurones dès la naissance, et que ces modifications restaient présentes dans les animaux âgés de deux semaines. La MIA subie au cours de la grossesse altère donc les neurones dès la naissance. / Epidemiological studies have shown an increased risk for autism in children born from mothers hospitalized for infection during pregnancy. Mimicking a maternal infection during pregnancy to trigger a Maternal Immune Activation (MIA) has been successfully achieved in animal models, showing that it leads to long term physiological and behavioural alterations. Our goal was to investigate neonatal sequels in MIA mice offspring. We found that already at birth MIA alters neuronal activity and morphology, and these changes were still present in two-week-old animals. Consequently, MIA during pregnancy alters neurons already at birth.