Controladores linguísticos Fuzzy

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica

A new approach to the initial value problem

5th Portuguese Conference on Automatic Control, September, 5-7, 2002, Aveiro, Portugal

Dynamic responses of oxygen uptake at the onset and end of moderate and heavy exercise in trained subjects.

Inconsistencies about dynamic asymmetry between the on- and off-transient responses in VO2 are found in the literature. Therefore the purpose of this study was to examine VO2 on- and off-transients during moderate- and heavy-intensity cycling exercise in trained subjects. Ten men underwent an initial incremental test for the estimation of ventilatory threshold (VT) and, on different days, two bouts of square-wave exercise at moderate (<VT) and heavy (>VT) intensities. VO2 kinetics in exercise and recovery were better described by a single exponential model (<VT), or by a double exponential with two time delays (>VT). For moderate exercise, we found a symmetry of VO2 kinetics between the on- and off-transients (i.e., fundamental component), consistent with a system manifesting linear control dynamics. For heavy exercise, a slow component superimposed on the fundamental phase was expressed in both the exercise and recovery, with similar parameter estimates. But the on-transient values of the time constant were appreciably faster than the associated off-transient, and independent of the work rate imposed (<VT and >VT). Our results do not support a dynamically linear system model of VO2 during cycling exercise in the heavy-intensity domain.

Dynamic responses of O2 uptake at the onset and end of exercise in trained subjects.

Inconsistencies about dynamic asymmetry between the on- and off-transient responses in .VO2 are found in the literature. Therefore the purpose of this study was to examine .VO2on- and off-transients during moderate- and heavy-intensity cycling exercise in trained subjects. Ten men underwent an initial incremental test for the estimation of ventilatory threshold (VT) and, on different days, two bouts of square-wave exercise at moderate (<VT) and heavy (>VT) intensities. .VO2 kinetics in exercise and recovery were better described by a single exponential model (<VT) or by a double exponential with two time delays (>VT). For moderate exercise, we found a symmetry of .VO2 kinetics between the on- and off-transients (i.e., fundamental component), consistent with a system manifesting linear control dynamics. For heavy exercise, a slow component superimposed on the fundamental phase was expressed in both the exercise and recovery, with similar parameter estimates. But the on-transient values of the time constant were appreciably faster than the associated off-transient, and independent of the work rate imposed (<VT and >VT). Our results do not support a dynamically linear system model of .VO2 during cycling exercise in the heavy-intensity domain.

Mutigrid preconditioner for nonconforming discretization of elliptic problems with jump coefficients

In this paper, we present a multigrid preconditioner for solving the linear system arising from the piecewise linear nonconforming Crouzeix-Raviart discretization of second order elliptic problems with jump coe fficients. The preconditioner uses the standard conforming subspaces as coarse spaces. Numerical tests show both robustness with respect to the jump in the coe fficient and near-optimality with respect to the number of degrees of freedom.

Orthotropic active strain models for the numerical simulation of cardiac biomechanics

An active strain formulation for orthotropic constitutive laws arising in cardiac mechanics modeling is introduced and studied. The passive mechanical properties of the tissue are described by the Holzapfel-Ogden relation. In the active strain formulation, the Euler-Lagrange equations for minimizing the total energy are written in terms of active and passive deformation factors, where the active part is assumed to depend, at the cell level, on the electrodynamics and on the specific orientation of the cardiac cells. The well-posedness of the linear system derived from a generic Newton iteration of the original problem is analyzed and different mechanical activation functions are considered. In addition, the active strain formulation is compared with the classical active stress formulation from both numerical and modeling perspectives. Taylor-Hood and MINI finite elements are employed to discretize the mechanical problem. The results of several numerical experiments show that the proposed formulation is mathematically consistent and is able to represent the main key features of the phenomenon, while allowing savings in computational costs.

Aerodynamical instability of web

Diplomityön tavoitteena oli tutkia miten ilman turbulenttisuus vaikuttaa tasaisesti liikkuvan rainan tilaan. Yhtenä sovelluskohteena teollisuudessa voidaan mainita esimerkiksi leiju-kuivain. Tiedetään, että konenopeuksien kasvu ja siitä johtuva ilmavirran nopeuden kasvu aiheuttaa voimavaikutuksia rainaan ja voi aiheuttaa lepatusta. Lepatus johtaa dynaamiseen epästabiilisuuteen, joka voidaan havaita, kun lineaarinen systeemi tulee epävakaaksi ja joh-taa epälineaariseen, rajoitettuun värähtelyyn. Lepatus huonontaa tuotteiden laatua ja voi johtaa ratakatkoihin. Työssä on esitetty tietoa ilman ja rainan vuorovaikutuksesta, jota hyödyntämällä voidaan kehittää yksinkertaistettu malli, jonka avulla liikkuvaa rainaa voidaan simuloida kuivaimes-sa. Kaasufaasin virtausyhtälöt on ratkaistu eri turbulenttimalleja käyttäen. Myös viskoelas-tisen rainan muodonmuutosta on tarkasteltu. Koska rainalle ei ole kirjallisuudesta saatavilla tarkkoja fysikaalisia ja mekaanisia arvoja, näitä ominaisuuksia testattiin eri arvoilla, jotta rainan käyttäytymistä jännityksen alaisena voidaan tarkastella. Näiden ominaisuuksien tun-teminen on ensiarvoisen tärkeää määritettäessä rainan aeroviskoelastista käyttäytymistä. Virtaussimulointi on kallista ja aikaa vievää. Tämä tarkoittaa uusien tutkimusmenetelmien omaksumista. Tässä työssä vaihtoehtoisena lähestymistapana on esitetty yksinkertaistettu malli, joka sisältää ilman ja rainan vuorovaikutusta kuvaavat ominaisuudet. Mallin avulla saadaan tietoa epälineaarisuuden ja turbulenssin vaikutuksesta sekä monimutkaisesta yh-teydestä stabiilisuuden ja ulkoisesti aikaansaadun värähtelyn sekä itse aiheutetun värähtelyn välillä. Työn lopussa on esitetty havainnollinen esimerkki, jolla voidaan kuvata olosuhteita, jossa rainan tasainen liike muuttuu epävakaaksi. Kun turbulenttisuudesta johtuva painevaih-telu ylittää tietyn rajan, rainan värähtely kasvaa muuttuen satunnaisesta järjestäytyneeksi. Saaduttulokset osoittavat, että turbulenttisuudella on suuri vaikutus eikä sitä voi jättää huomioimatta. Myös rainan viskoelastiset ominaisuudet tulee huomioida, jotta rainan käyt-täytymistä voidaan kuvata tarkasti.

Development and Evaluation of Blind Identification Techniques for Nonlinear Systems

Identification and Control of Non‐linear dynamical systems are challenging problems to the control engineers.The topic is equally relevant in communication,weather prediction ,bio medical systems and even in social systems,where nonlinearity is an integral part of the system behavior.Most of the real world systems are nonlinear in nature and wide applications are there for nonlinear system identification/modeling.The basic approach in analyzing the nonlinear systems is to build a model from known behavior manifest in the form of system output.The problem of modeling boils down to computing a suitably parameterized model,representing the process.The parameters of the model are adjusted to optimize a performanace function,based on error between the given process output and identified process/model output.While the linear system identification is well established with many classical approaches,most of those methods cannot be directly applied for nonlinear system identification.The problem becomes more complex if the system is completely unknown but only the output time series is available.Blind recognition problem is the direct consequence of such a situation.The thesis concentrates on such problems.Capability of Artificial Neural Networks to approximate many nonlinear input-output maps makes it predominantly suitable for building a function for the identification of nonlinear systems,where only the time series is available.The literature is rich with a variety of algorithms to train the Neural Network model.A comprehensive study of the computation of the model parameters,using the different algorithms and the comparison among them to choose the best technique is still a demanding requirement from practical system designers,which is not available in a concise form in the literature.The thesis is thus an attempt to develop and evaluate some of the well known algorithms and propose some new techniques,in the context of Blind recognition of nonlinear systems.It also attempts to establish the relative merits and demerits of the different approaches.comprehensiveness is achieved in utilizing the benefits of well known evaluation techniques from statistics. The study concludes by providing the results of implementation of the currently available and modified versions and newly introduced techniques for nonlinear blind system modeling followed by a comparison of their performance.It is expected that,such comprehensive study and the comparison process can be of great relevance in many fields including chemical,electrical,biological,financial and weather data analysis.Further the results reported would be of immense help for practical system designers and analysts in selecting the most appropriate method based on the goodness of the model for the particular context.

Quadratic Predictor based Differential Encoding and Decoding of Speech Signals

Modeling nonlinear systems using Volterra series is a century old method but practical realizations were hampered by inadequate hardware to handle the increased computational complexity stemming from its use. But interest is renewed recently, in designing and implementing filters which can model much of the polynomial nonlinearities inherent in practical systems. The key advantage in resorting to Volterra power series for this purpose is that nonlinear filters so designed can be made to work in parallel with the existing LTI systems, yielding improved performance. This paper describes the inclusion of a quadratic predictor (with nonlinearity order 2) with a linear predictor in an analog source coding system. Analog coding schemes generally ignore the source generation mechanisms but focuses on high fidelity reconstruction at the receiver. The widely used method of differential pnlse code modulation (DPCM) for speech transmission uses a linear predictor to estimate the next possible value of the input speech signal. But this linear system do not account for the inherent nonlinearities in speech signals arising out of multiple reflections in the vocal tract. So a quadratic predictor is designed and implemented in parallel with the linear predictor to yield improved mean square error performance. The augmented speech coder is tested on speech signals transmitted over an additive white gaussian noise (AWGN) channel.

Diazafluoren-9-yliden als Bindungsmotiv für Metallfragmente in kreuzkonjugierten π-Systemen

In der vorliegenden Dissertation wurden kreuzkonjugierte organische Verbindungen basierend auf Diazafluorenmethyliden- sowie Dipyridylmethyliden-Bausteinen synthetisiert, die zum einen photoredoxaktive Metallfragmente komplexieren können und zum anderen erweiterte π-konjugierte Pfade auf der Grundlage von Alkineinheiten ermöglichen. Das kreuzkonjugierte Motiv wurde über die Kupplung von Alkineinheiten an halogenierte Methyliden-Einheiten, den so genannten Dibromolefinen, zugänglich gemacht. Zur Synthese von Dibromolefinen wurden verschiedene Methoden untersucht. Literaturbekannte Methoden wie die Wittig-Reaktion und ihre Modifikationen sowie die Corey-Fuchs-Reaktion konnten für die Diazafluoreneinheit nicht erfolgreich angewendet werden. Bei einer mikrowellenunterstützten Reaktion konnte sowohl ausgehend von Diazafluoren-9-on als auch von Di-2-pyridylketon eine Dibromolefinierung (55 % und 65 %) erreicht werden. Die Eignung der Mikrowellenstrahlung für Dibromolefinierungsreaktionen nach Corey und Fuchs wurde weiterhin an verschiedenen Aldehyden und Ketonen untersucht. In den meisten Fällen konnten gute bis sehr gute Ergebnisse erzielt werden. Durch die erfolgreiche Synthese von Dibromolefinen über Mikrowellensynthese wurde die Realisierung von diversen π-konjugierten Systemen möglich. Dies erfolgte exemplarisch durch die Kupplung der Alkine 5-Ethinyl-2,2’-bipyridin, 1-(Ferrocenylethinyl)-4-(ethinyl)benzol, Tri(tolyl)propin sowie der TIPS- und TMS-Acetylene. Neben der Vielfalt an Möglichkeiten zur Funktionalisierung von Dipyridyl- und Diazafluorenbausteinen zeigte sich zudem, dass sogar räumlich anspruchsvolle Verbindungen wie die geminale angeordneten voluminösen Tri(tolyl)propinyl-Substituenten an der Doppelbindung erfolgreich synthetisiert werden können. Die Koordinationseigenschaften der neu synthetisierten Verbindungen konnten durch Umsetzungen der Diazafluoren- und Dipyridylverbindungen mit PdCl2 und [RuCl2(bpy)2] erfolgreich gezeigt werden. Im Hinblick auf die Herstellung von Funktionsmaterialien eignen sich die Endiin-Strukturmotive aufgrund von diversen Variationsmöglichkeiten wie Koordination von Übergangsmetallen sowie Funktionalisierung der Peripherie gut. Dadurch können die elektronischen Eigenschaften wie die Absorption oder elektrochemische Potentiale der Verbindungen modifiziert werden. Die UV/Vis-Spektren der neu synthetisierten Verbindungen zeigen, dass Absorptionen in längerwelligen Bereichen durch Verlängerung des Konjugationspfades gesteuert werden können. Zudem lassen sich weitere photophysikalische Eigenschaften wie MC-, LC-, LMCT- oder MLCT-Übergänge durch Koordination von Metallen generieren. Die elektrochemischen Potentiale der Dipyridyl- und Diazafluorenbausteine konnten durch Anbindung von verschiedenen Substituenten beeinflusst werden. Es zeigte sich, dass sich die Reduktionswellen im Vergleich zu denen der Ketone zu niedrigeren Potentialen verschieben, wenn Alkine an die Dipyridylmethyliden- und Diazafluorenmethyliden-Bausteine geknüpft wurden. Zudem konnte beobachtet werden, dass die Signale nicht immer reversibel sind. Insbesondere die Dipyridylverbindungen zeichneten sich durch irreversible Reduktionswellen aus. Die Realisierung von π-konjugierten Systemen gelang auch mit cyclischen kohlenstoffbasierten Verbindungen. Über das separat synthetisierte 2,2’-Diethinyltolan konnte eine cyclische Verbindung, ein dehydroannulen-radialenisches System, erfolgreich hergestellt werden. Die Koordination von redoxaktiven Metallzentren wie [Ru(bpy)2] konnte für diese Verbindung ebenfalls erfolgreich gezeigt werden. Die elektronische Wechselwirkung zwischen dem Metallzentrum und dem dehydroannulenischen System könnte sowohl über theoretische Methoden (zeitabhängige Dichtefunktionaltheorie) als auch experimentell wie z. B. über transiente Absorptionsspektroskopie untersucht werden. Diese zukünftig durchzuführenden Untersuchungen können Aufschluss über die Ladungstransferraten und -dauer geben. Im Hinblick auf die Realisierung von Modellverbindungen für molekulare Drähte wurden lineare Systeme basierend auf der Diazafluoreneinheit synthetisiert. Zur Synthese von derartigen Systemen war es zunächst notwendig, die Dibromolefine unsymmetrisch zu alkinylieren. Die unsymmetrische Substitution gestaltete sich als Herausforderung, da eine Einfachkupplung mit einem Acetylen nicht möglich war. In den meisten Fällen wurden zweifach substituierte Spezies mit den identischen Alkinen erhalten. Die besten Ausbeuten konnten durch die konsekutive Zugabe von TIPS-Acetylen und darauffolgend TMS-Acetylen in die Reaktionsmischung erhalten werden. Offenbar spielt der räumliche Anspruch des Erstsubstituenten in diesem Zusammenhang eine Rolle. Die selektive Entschützung der unterschiedlich silylierten Verbindungen erfolgte mit K2CO3 in MeOH/THF (1:1). Die oxidative Homokupplungsreaktion erfolgte ohne Isolierung der entschützten Spezies, da diese instabil ist und zur Polymerisation neigt. Aufgrund der Instabilität der entschützten Spezies sowie möglichen Nebenreaktionen waren die Ausbeuten sowohl bei der TIPS-geschützten Verbindung als auch bei der TTP-geschützten Verbindung gering. Versuche, lineare Systeme von dipyridylbasierten Verbindungen zu erhalten, schlugen fehl. Die π-konjugierten Systeme lassen aufgrund der effektiven Überlappung der beteiligten π-Orbitale hohe Ladungsträgermobilitäten vermuten. Die im Rahmen dieser Arbeit synthetisierten Verbindungen könnten mit Schwefelverbindungen die Anbindung an Elektroden zulassen, worüber die Leitfähigkeiten der Verbindungen gemessen werden könnten.

On integral equation and least squares methods for scattering by diffraction gratings

In this paper we consider the scattering of a plane acoustic or electromagnetic wave by a one-dimensional, periodic rough surface. We restrict the discussion to the case when the boundary is sound soft in the acoustic case, perfectly reflecting with TE polarization in the EM case, so that the total field vanishes on the boundary. We propose a uniquely solvable first kind integral equation formulation of the problem, which amounts to a requirement that the normal derivative of the Green's representation formula for the total field vanish on a horizontal line below the scattering surface. We then discuss the numerical solution by Galerkin's method of this (ill-posed) integral equation. We point out that, with two particular choices of the trial and test spaces, we recover the so-called SC (spectral-coordinate) and SS (spectral-spectral) numerical schemes of DeSanto et al., Waves Random Media, 8, 315-414 1998. We next propose a new Galerkin scheme, a modification of the SS method that we term the SS* method, which is an instance of the well-known dual least squares Galerkin method. We show that the SS* method is always well-defined and is optimally convergent as the size of the approximation space increases. Moreover, we make a connection with the classical least squares method, in which the coefficients in the Rayleigh expansion of the solution are determined by enforcing the boundary condition in a least squares sense, pointing out that the linear system to be solved in the SS* method is identical to that in the least squares method. Using this connection we show that (reflecting the ill-posed nature of the integral equation solved) the condition number of the linear system in the SS* and least squares methods approaches infinity as the approximation space increases in size. We also provide theoretical error bounds on the condition number and on the errors induced in the numerical solution computed as a result of ill-conditioning. Numerical results confirm the convergence of the SS* method and illustrate the ill-conditioning that arises.

State-space model identification of a wireless THz network

We model the large scale fading of wireless THz communications links deployed in a metropolitan area taking into account reception through direct line of sight, ground or wall reflection and diffraction. The movement of the receiver in the three dimensions is modelled by an autonomous dynamic linear system in state-space whereas the geometric relations involved in the attenuation and multi-path propagation of the electric field are described by a static non-linear mapping. A subspace algorithm in conjunction with polynomial regression is used to identify a Wiener model from time-domain measurements of the field intensity.

Predictive control using feedback linearization based on dynamic neural models

This paper presents a hybrid control strategy integrating dynamic neural networks and feedback linearization into a predictive control scheme. Feedback linearization is an important nonlinear control technique which transforms a nonlinear system into a linear system using nonlinear transformations and a model of the plant. In this work, empirical models based on dynamic neural networks have been employed. Dynamic neural networks are mathematical structures described by differential equations, which can be trained to approximate general nonlinear systems. A case study based on a mixing process is presented.

MIMO Wiener model identification for large scale fading of wireless mobile communications links

The large scale fading of wireless mobile communications links is modelled assuming the mobile receiver motion is described by a dynamic linear system in state-space. The geometric relations involved in the attenuation and multi-path propagation of the electric field are described by a static non-linear mapping. A Wiener system subspace identification algorithm in conjunction with polynomial regression is used to identify a model from time-domain estimates of the field intensity assuming a multitude of emitters and an antenna array at the receiver end.

Adaptive modelling with tunable RBF network using multi-innovation RLS algorithm assisted by swarm intelligence

In this paper, we propose a new on-line learning algorithm for the non-linear system identification: the swarm intelligence aided multi-innovation recursive least squares (SI-MRLS) algorithm. The SI-MRLS algorithm applies the particle swarm optimization (PSO) to construct a flexible radial basis function (RBF) model so that both the model structure and output weights can be adapted. By replacing an insignificant RBF node with a new one based on the increment of error variance criterion at every iteration, the model remains at a limited size. The multi-innovation RLS algorithm is used to update the RBF output weights which are known to have better accuracy than the classic RLS. The proposed method can produces a parsimonious model with good performance. Simulation result are also shown to verify the SI-MRLS algorithm.