175 resultados para Neural Control Systems
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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The Compact Muon Solenoid (CMS) detector is described. The detector operates at the Large Hadron Collider (LHC) at CERN. It was conceived to study proton-proton (and lead-lead) collisions at a centre-of-mass energy of 14 TeV (5.5 TeV nucleon-nucleon) and at luminosities up to 10(34)cm(-2)s(-1) (10(27)cm(-2)s(-1)). At the core of the CMS detector sits a high-magnetic-field and large-bore superconducting solenoid surrounding an all-silicon pixel and strip tracker, a lead-tungstate scintillating-crystals electromagnetic calorimeter, and a brass-scintillator sampling hadron calorimeter. The iron yoke of the flux-return is instrumented with four stations of muon detectors covering most of the 4 pi solid angle. Forward sampling calorimeters extend the pseudo-rapidity coverage to high values (vertical bar eta vertical bar <= 5) assuring very good hermeticity. The overall dimensions of the CMS detector are a length of 21.6 m, a diameter of 14.6 m and a total weight of 12500 t.
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Com o objetivo de avaliar os efeitos do método de preparo do solo e do controle de plantas daninhas em resteva de aveia preta (Avena strigosa), na cultura da soja (Glycine max cv. 'IAC 14'), foi conduzido um experimento de campo na Fazenda Experimental Lageado - UNESP Botucatu - SP, em 1993/94. Os tratamentos de manejo do solo foram Plantio Direto e Plantio Convencional (preparado com uma aração e três gradagens). As formas de controle de plantas daninhas estudadas corresponderam a uma testemunha sem controle do mato; controle com uso exclusivo de herbicidas aplicados em préemergência (0,28 kg/ha de metribuzim + 1,29 kg/ha de orizalin); controle com uso exclusivo de herbicidas aplicados em pósemergência (0,25 kg/ha de fluazifop-p-butil + 0,25 kg/ha de fomesafen); controle com o uso conjunto dos tratamentos em pré e pós-emergência mencionados. Tanto no plantio direto quanto no convencional, utilizou-se glyphosate para a eliminação da aveia preta e das plantas daninhas antes da implantação da cultura. O delineamento experimental adotado foi de blocos ao acaso em parcelas subdivididas, com quatro repetições. Os tipos de manejo do solo foram aplicados às parcelas e os métodos de controle das plantas daninhas às sub-parcelas. Deve ser ressaltado que durante a fase inicial do ensaio, as chuvas foram escassas, limitando tanto o crescimento da cultura quanto a atuação dos herbicidas de pré-emergência e pósemergência. As avaliações baseadas na contagem do número de plantas/m2, realizadas aos 14, 28 e 35 dias após a emergência da cultura da soja, indicaram diferenças entre os métodos de preparo do solo e os métodos de controle. Entre as espécies daninhas mais freqüentes, Brachiaria plantaginea e Amaranthus viridis foram as predominantes no sistema de plantio convencional; estas espécies apresentaram pequena importância no plantio direto, no qual predominou Euphorbia heterophylla. No plantio convencional, os herbicidas de pré-emergência proporcionaram melhor controle de A. viridis do que de B. plantaginea; o controle com herbicidas pós-emergentes foi insatisfatório para ambas espécies. No plantio direto, o controle de E. heterophylla foi insatisfatório em todos os sistemas de controle testados. O plantio direto apresentou sempre menor número total de plantas daninhas, sobretudo de gramineas. A germinação de plantas daninhas limitou-se ao período de até 15 dias após a emergência da cultura, nos dois sistemas de cultivo.
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Avaliaram-se quantitativa, morfométrica e qualitativamente os neurônios atriais da faixa intercaval de cães com cardiomiopatia dilatada (CMD). Os neurônios dos gânglios nervosos de cães com CMD eram maiores que os dos cães controle. A histopatologia do miocárdio ventricular e dos neurônios ganglionares confirmou a CMD e demonstrou evidente processo degenerativo neuronal ganglionar. Cães com CMD em fase crônica apresentavam cardioneuropatia secundária, provavelmente pela privação da inervação parassimpática cardíaca.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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The Lyonet's gland is found in Lepidoptera larvae, close to the excretory duct of the silk gland. The role played by this gland is still uncertain. This work aims to describe the ultrastructure of the Lyonet's bland in Diatraea saccharalis larvae, offering suggestions regarding its possible function. The insects were reared under laboratory-controlled conditions. The glands were conventionally prepared for transmission (TEM) and scanning (SEM) electron microscopy. SEM showed that Lyonet's glands are paired small structures located in the ventral side of the head. They are composed by clustered long cells resembling leaves. Under TEM observations, each cell is surrounded by a thin basal lamina and contains large stellate nucleus. The cytoplasm presents large and empty canaliculi with small microvilli. The basal plasma membrane forms numerous infoldings where numerous and well-developed mitochondria are concentrated. The cytoplasmic membrane system is poorly developed. Our ultrastructural results suggest that the Lyonet's gland in D. saccharalis larvae may be involved in the uptake of small molecules from the hemolymph no morphological evidences of macromolecules synthesis and secretion were noticed. The detection of nerve fibers in the gland suggest a neural control for the glandular cell function.
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This paper deals with the design and analysis of a Dynamic Voltage Restorer output voltage control. Such control is based on a multiloop strategy, with an inner current PID regulator and an outer P+Resonant voltage controller. The inner regulator is applied on the output inductor current. It will be also demonstrated how the load current behavior may influence in the DVR output voltage, which. justifies the need for the resonant controller. Additionally, it will be discussed the application of a modified algorithm for the identification of the DVR voltage references, which is based on a previously presented positive sequence detector. Since the studied three-phase DVR is assumed to be based on three identical H-bridge converters, all the analysis and design procedures were realized by means of single-phase equivalent circuits. The discussions and conclusions are supported by theoretical calculations, nonlinear simulations and some experimental results.
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This paper presents a methodology and a tool for projects involving analogue and digital signals. A sub-systems group was developed to translation a Matlab/Simulink model in the correspondent structural model described in VHDL-AMS. The developed translation tool, named of MS(2)SV, can reads a file containing a Simulink model translating it in the correspondent VHDL-AMS structural code. The tool also creates the directories structure and necessary files to simulate the model translated in System Vision environment. Three models of D/A converters available commercially that use R-2R ladder network were studied. This work considers some of challenges set by the electronic industry for the further development of simulation methodologies and tools in the field of mixed-signal technology. Although the objective of the studies has been the D/A converter, the developed methodology has potentiality to be extended to consider control systems and mechatronic systems.
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An adaptive scheme is shown by the authors of the above paper (ibid. vol. 71, no. 2, pp. 275-276, Feb. 1983) for continuous time model reference adaptive systems (MRAS), where relays replace the usual multipliers in the existing MRAS. The commenter shows an error in the analysis of the hyperstability of the scheme, such that the validity of this configuration becomes an open question.
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An algorithm for adaptive IIR filtering that uses prefiltering structure in direct form is presented. This structure has an estimation error that is a linear function of the coefficients. This property greatly simplifies the derivation of gradient-based algorithms. Computer simulations show that the proposed structure improves convergence speed.
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A field trial was carried out in Santa Rita do Passa Quatro, SP, on sandy soil, between February 1993 to February 1995, aiming to study the effects of fertilizer doses and brachiaria grass control on the growth of E. grandis. In the field the plots (9×9 plants, spacing 2×3 m) were located following a randomized block experimental design with four repetitions. The treatments were arranged in a factorial design with four systems of brachiaria grass control in the space between the Eucalyptus rows: mowing, cultivation, chemical control with glyphosate (2,08 kg eq. ác./ha) and hand hoeing were developed when the population reached the early flowering stage and four doses of the fertilizer 20-05-20: 0, 115, 230 and 345 kg/ha, handled at 3, 6 and 12 monthes after the transplantation. The hand hoeing was the most effective method of brachiaria grass control. However the hand hoeing controlled plots showed a decrease on the E. grandis growth exhibiting slower growth rate, shorter plants, thinner stems, smaller leaf area results and reduction on dry matter accumulation than the plants from the other plots under different weed control management's. The glyphosate promoted an excellent brachiaria grass control while the E. grandis plants grow better. Both remainder weed control management systems were intermediary in terms of efficacy. The mowing management was the most similar method as compared to the hand hoeing one and the cultivation treatments to the chemical control method. The growth rate differences observed between the hand hoeing and chemical control treatments were not caused directly by late fertilizations. There were no significative interactions among the weed control systems and the fertilization doses. Considering the brachiaria grass that grew between the E. grandis rows there were detected benefits to the crop and these effects increased when the chemical control was used for weed management.
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A branch and bound algorithm is proposed to solve the H2-norm model reduction problem for continuous-time linear systems, with conditions assuring convergence to the global optimum in finite time. The lower and upper bounds used in the optimization procedure are obtained through Linear Matrix Inequalities formulations. Examples illustrate the results.
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The state observers can reconstruct and monitor unmeasurable states. A new concept of fault detection and isolation using state observers is presented. The method selects the parameters from components that may fail during the process and constructs optimized robust observers. To isolate component failures via robust observation, a bank of detection observers is organized, in which each observer is only sensitive to one specified component failure while robust to all other component failures. This paper analyzes the performance of transient and steady-state behavior of the state observer.
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Relaxed conditions for the stability study of nonlinear, continuous and discrete-time systems given by fuzzy models are presented. A theoretical analysis shows that the proposed method provides better or at least the same results of the methods presented in the literature. Digital simulations exemplify this fact. These results are also used for the fuzzy regulators design. The nonlinear systems are represented by the fuzzy models proposed by Takagi and Sugeno. The stability analysis and the design of controllers are described by LMIs (Linear Matrix Inequalities), that can be solved efficiently by convex programming techniques. The specification of the decay rate, constraints on control input and output are also described by LMIs. Finally, the proposed design method is applied in the control of an inverted pendulum.
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Mathematical programming problems with equilibrium constraints (MPEC) are nonlinear programming problems where the constraints have a form that is analogous to first-order optimality conditions of constrained optimization. We prove that, under reasonable sufficient conditions, stationary points of the sum of squares of the constraints are feasible points of the MPEC. In usual formulations of MPEC all the feasible points are nonregular in the sense that they do not satisfy the Mangasarian-Fromovitz constraint qualification of nonlinear programming. Therefore, all the feasible points satisfy the classical Fritz-John necessary optimality conditions. In principle, this can cause serious difficulties for nonlinear programming algorithms applied to MPEC. However, we show that most feasible points do not satisfy a recently introduced stronger optimality condition for nonlinear programming. This is the reason why, in general, nonlinear programming algorithms are successful when applied to MPEC.