Modelagem e controle avançado não-linear multivariável por lógica nebulosa : aplicação para um processo de copolimerização

A obtenção de um modelo matemático confiável de um dado processo é um pré-requisito fundamental para o projeto de controladores. Contudo, particularmente para sistemas poliméricos que são intrinsecamente caracterizados por dinâmicas complexas, o delineamento de uma aproximação a partir dos primeiros princípios é uma tarefa bastante árdua e, por vezes, não realizável. Logo, representações matemáticas mais simples, porém reprodutivas das principais peculiaridades do sistema, são bem-vindas. Assim sendo, este trabalho apresenta o desenvolvimento e a implementação de dois esquemas de controle preditivo não-linear multivariável baseado em modelo nebuloso para um processo de copolimerização. Modelos MISO (Multi-Input/Single-Output) lineares e exponenciais são construídos a partir da lógica nebulosa, combinados e aplicados para simulação e predição on-line. Os desempenhos das estruturas de controle propostas foram comparados ao DMC (Dynamic Matrix Control) e a um típico NMPC (Nonlinear Model-based Predictive Control) para o problema servo. Os resultados obtidos comprovaram a eficácia das configurações projetadas

Análise do espaço-temporal do uso da terra em microbacias hidrográficas no Município de Paragominas, Estado do Pará.

Paragominas located in the northeastern region of Pará, Brazil, constitutes one of the emblematic regions of deforestation process in Amazonia, this process occurred with the consolidation of the BR-010 Road, in the end of the 60's. In this paper, it is accessed the landscape dynamics in the watershed Cinqüenta e Quatro and Sete rivers, from the use of TM/Landsat of 2002, 2004 and 2005 images, analyzed by supervised classification by regions. It was verified that the class Anthropic Forest still has a prominent role among the mapped units, while the pasture areas represent the dominant patters of land use. For the landscape dynamics, the greatest percentuals of stability occurred for the class Anthropic Forest and Advanced Secondary Regrowth. Among the classes of land use, the pasture areas were more stable, although small conversions occurred for the class Grain Agriculture

Longitudinal photocurrent spectroscopy of a single GaAs/AlGaAs v-groove quantum wire

Modulation-doped GaAs v-groove quantum wires (QWRs) have been fabricated with novel electrical contacts made to two-dimensional electron-gas (2DEG) reservoirs. Here, we present longitudinal photocurrent (photoconductivity/PC) spectroscopy measurements of a single QWR. We clearly observe conductance in the ground-state one-dimensional subbands; in addition, a highly temperature-dependent response is seen from other structures within the v-groove. The latter phenomenon is attributed to the effects of structural topography and localization on carrier relaxation. The results of power-dependent PC measurements suggest that the QWR behaves as a series of weakly interacting localized states, at low temperatures

Carrier relaxation in GaAs v-groove quantum wires and the effects of localization

Carrier relaxation processes have been investigated in GaAs/AlGaAs v-groove quantum wires (QWRs) with a large subband separation (46 meV). Signatures of inhibited carrier relaxation mechanisms are seen in temperature-dependent photoluminescence (PL) and photoluminescence-excitation (PLE) measurements; we observe strong emission from the first excited state of the QWR below ~50 K. This is attributed to reduced inter-subband relaxation via phonon scattering between localized states. Theoretical calculations and experimental results indicate that the pinch-off regions, which provide additional two-dimensional confinement for the QWR structure, have a blocking effect on relaxation mechanisms for certain structures within the v-groove. Time-resolved PL measurements show that efficient carrier relaxation from excited QWR states into the ground state, occurs only at temperatures > 30 K. Values for the low temperature radiative lifetimes of the ground- and first excited-state excitons have been obtained (340 ps and 160 ps respectively), and their corresponding localization lengths along the wire estimated.Comment: 9 pages, 8 figures, submitted to Phys. Rev. B Attempted to correct corrupt figure

Multivariable nonlinear advanced control of copolymerization processes

A reliable multivariable model of a process is a fundamental prerequisite for the design of an efficient control strategy. Though, such a model is often very hard to obtain via a first-principles approach. The development of two fuzzy model-based multivariable nonlinear predictive control schemes and their implementation on a copolymerization process are described in this paper. Multi-input/single-output models are developed using fuzzy logic and combined to form a parallel system model for simulation and online prediction. The behavior of the outlined controllers were compared to the dynamic matrix control (DMC) and to a typical nonlinear model-based predictive control (NMPC) for regulatory problem and the obtained results showed the effectiveness of the proposed structures

Corotation: its influence on the chemical abundance pattern of the Galaxy

A simple theory for the chemical enrichment of the Galaxy which takes into account the effects of spiral arms on heavy elements output was developed. In the framework of the model with the corotation close to the position of the Sun in the Galaxy the observed abundance features are explained.Comment: LaTeX, 6 pages, 5 jpg figures, uses aastex.sty, submitted to ApJ Let

The Chemical Evolution of the Milky Way

The field of chemical evolution modeling of the Galaxy is experiencing in the last years a phase of high activity and important achievements. There are, however, several open questions which still need to be answered. In this review I summarize what have been the most important achievements and what are some of the most urgent questions to be answered.Comment: 10 pages including 3 figs, to appear in "The Chemical Evolution of the Milky Way. Stars vs Clusters", Proceedings of the Sept.1999 Vulcano Workshop, F.Giovannelli and F.Matteucci eds (Kluwer, Dordrecht) in pres

A neural qualitative approach for automatic territorial zoning.

This article presents the application of the Self-Organizing Maps (SOM) as an exploratory tool for automatic territorial zoning by combining the handle of categorical data and the other for automatic clustering. The SOM online learning algorithm had been chosen to treat categorical data by using the dot product method and the Sorense-Dice binary similarity coefficient. To automatically perform a spatial clustering, an adaptation of the automatic clustering Costa-Netto algorithm had been also proposed. The correspondence analysis had been used to examine the profiles of each homogeneous zones. To explore the approach it has been performed the territorial zoning of the Alto Taquari River Basin, Brazil, using as input data a set of thematic maps. The results indicate the applicability of the approach to perform the exploratory territorial zoning.GeoComputation 2017

BRS Guamirim em 2007: rendimento superior e boa sanidade, apesar da condição climática favorável à giberela.

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