Controlling systems with a single actuator

In this paper the problem of designing a single actuator control for a class of systems is addressed. The existence of such control is studied and several ways for designing such control are provided. The results depend either on the rational canonical form or on the Jordan structure associated with the matrix which characterizes the system dynamics. The constructed control laws can be employed in the design of minimum cost controllers for a large variety of systems.

Caracterización de las Propiedades Dinámicas de la Seda de Araña

El término Biomimética se ha hecho común en los medios científicos, se refiere al trabajo de diversos científicos (ingenieros, químicos, físicos, biólogos, etc.) que tratan de copiar los procesos biológicos y aplicarlos en distintas áreas tecnológicas y científicas. En este campo científico, uno de los productos naturales que llama más la atención es la telaraña. Numerosos científicos en todo el mundo tratan de copiar las propiedades de la seda que produce la araña, y lo más interesante es que hasta intentan reproducir el método que usan las arañas para fabricar la seda De la bibliografía consultada, se desprende la importancia de la seda en la vida de las arañas, pues toda actividad que realizan tiene que ver de alguna manera con este elemento. Uno de estos elementos es la tela de araña orbicular, que representa el objeto principal para la supervivencia de la araña y su especie. Las investigaciones realizadas en esta línea nos proporcionan información sobre sus magníficas propiedades mecánicas como de resistencia, elasticidad y tenacidad del hilo de seguridad (seda MA) segregada por una araña de la especie Argiope Argentata. El enfoque de la presente tesis se realiza desde una perspectiva analítica-experimental, tomando a la tela de araña como una clase especial de sistemas pretensados, llamados Tensegrity Structures. Se desarrolla un modelo conceptual que describe en forma aproximada el comportamiento dinámico de una estructura hecha de seda MA. Haciendo uso de las técnicas experimentales de vibraciones libres se realizan los ensayos experimentales. La evaluación de los resultados analíticos y experimentales reflejan claramente que la función principal de la tela de araña es la de convertir energía cinética en energía de deformación y primordialmente en energía de disipación, el cual se efectúa gracias a las propiedades viscoelásticas de la seda. La araña en forma instintiva recurre a la ayuda del aire (como elemento disipador) para el buen funcionamiento de la tela de araña al momento de la captura de las presas, disipándose el 99% de la energía total en los tres primeros ciclos de oscilación de la tela de araña luego del impacto de la presa. ABSTRACT The term Biomimetic has become a very common word in the scientific world to describe the reproduction of the biological processes and its application in the different technogycal and scientific areas. One of the most notably natural product of this field is the Spiderweb. In the present days, many scientists of the world are active working in the reproduction of the proprieties of the Spiderweb. Most interesting even more, is the attempt to reproduce the process of the production of the Spiderweb by the spider. Most of the bibliography references deals whit the importance of the Spiderweb silk in the life of the spiders and the orbicular Spiderweb represents the spider survival and of the species. The research conducted in this field provide information about the excellent mechanical proprieties such us strength, elasticity and tenacity of the safety fiber (silk MA Drag-line) segregated by a spider of the Argiope Argentata species. The present work is oriented to an analytical and experimental study considering the Spiderweb as a special class of pre-stressed systems called Tensegrity (tensional integrity) structures. A conceptual model maked up by a cord und a point mass has been developed. This model approximates the dynamics performance of the structure made of the silk MA. The evaluation of the analytical and experimental results clear described that the main function of the Spiderweb is the transformation of the kinetic energy in deformation energy, and mainly in dissipation energy thank to the viscoelastic proprieties of the Spiderweb. With the help of the Spiderweb, the spider instinctively resorts to the help of the surroundings air as a dissipation element. This permits to dissipative the 99% of the total energy during the three first oscillations cycles of the web after the impact of the victim.

Impact of Spatial Soil and Climate Input Data Aggregation on Regional Yield Simulations

This work was financially supported by the German Federal Ministry of Food and Agriculture (BMEL) through the Federal Office for Agriculture and Food (BLE), (2851ERA01J). FT and RPR were supported by FACCE MACSUR (3200009600) through the Finnish Ministry of Agriculture and Forestry (MMM). EC, HE and EL were supported by The Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (220-2007-1218) and by the strategic funding ‘Soil-Water-Landscape’ from the faculty of Natural Resources and Agricultural Sciences (Swedish University of Agricultural Sciences) and thank professor P-E Jansson (Royal Institute of Technology, Stockholm) for support. JC, HR and DW thank the INRA ACCAF metaprogramm for funding and Eric Casellas from UR MIAT INRA for support. CB was funded by the Helmholtz project “REKLIM—Regional Climate Change”. CK was funded by the HGF Alliance “Remote Sensing and Earth System Dynamics” (EDA). FH was funded by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) under the Grant FOR1695. FE and SS acknowledge support by the German Science Foundation (project EW 119/5-1). HH, GZ, SS, TG and FE thank Andreas Enders and Gunther Krauss (INRES, University of Bonn) for support. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Intermediate-term earthquake prediction.

An earthquake of magnitude M and linear source dimension L(M) is preceded within a few years by certain patterns of seismicity in the magnitude range down to about (M - 3) in an area of linear dimension about 5L-10L. Prediction algorithms based on such patterns may allow one to predict approximately 80% of strong earthquakes with alarms occupying altogether 20-30% of the time-space considered. An area of alarm can be narrowed down to 2L-3L when observations include lower magnitudes, down to about (M - 4). In spite of their limited accuracy, such predictions open a possibility to prevent considerable damage. The following findings may provide for further development of prediction methods: (i) long-range correlations in fault system dynamics and accordingly large size of the areas over which different observed fields could be averaged and analyzed jointly, (ii) specific symptoms of an approaching strong earthquake, (iii) the partial similarity of these symptoms worldwide, (iv) the fact that some of them are not Earth specific: we probably encountered in seismicity the symptoms of instability common for a wide class of nonlinear systems.

Desenvolvimento de procedimento analítico para determinação de iodato em sal de mesa utilizando sistema com multicomutação e detecção espectrofotométrica

A iodação do sal de mesa é considerada o caminho mais eficiente para controlar os Distúrbios por Deficiência de Iodo. Em países tropicais, o elemento pode ser adicionado na forma de KIO3. Para garantir que os níveis ideais do ânion estejam disponíveis ao consumidor, o controle de qualidade do sal consiste numa estratégia fundamental. Sistemas em fluxo com multicomutação representam uma alternativa versátil para o desenvolvimento de procedimentos simples, rápidos e limpos, minimizando o consumo de reagentes e a geração de resíduos. Nesse contexto, um procedimento analítico utilizando sistema com multicomutação e detecção espectrofotométrica foi desenvolvido para a determinação de iodato em sal de mesa. A reação empregada foi baseada na formação de um composto roxo (540 nm) entre iodato (IO3-) e p-aminofenol (PAP) em meio ácido. O tempo de residência da zona de amostra no percurso analítico foi explorado a fim de favorecer a reação lenta e a frequência de amostragem para a melhoria do desempenho analítico. Foram selecionados 2 pulsos para inserção de amostra, 3 pulsos para reagente (PAP 0,25% (m/v) em HCl 0,025 mol L-1), 7 ciclos de amostragem, 200 pulsos de carregador (água), bolha de ar de 1 s (40 µL), reator de 70 cm (3 mm d.i.) e parada de fluxo de 480 s. Resposta linear foi observada entre 2,28x10-5 e 3,65x10-4 mol L-1, descrita pela equação A = 0,2443 + 2030 C, r = 0,997. Limite de detecção (99,7% de confiança), coeficiente de variação (n = 20) e frequência de amostragem foram estimados em 8,2x10-6 mol L-1, 0,42% e 70 determinações por hora, respectivamente. Houve consumo de 1,05 mg de PAP e geração de 0,70 mL de resíduos por determinação. As principais espécies concomitantes presentes na amostra não interferiram na determinação de iodato em concentrações até 8 vezes maiores que as usualmente encontradas. Estudos de adição e recuperação de iodato foram realizados pelo procedimento proposto, obtendo porcentagens de recuperação entre 88 e 104%. O procedimento analítico desenvolvido apresenta sensibilidade adequada para a determinação de iodato em amostra de sal de mesa e elevada frequência de amostragem quando comparado com procedimentos descritos na literatura

A contribution on modeling methodologies for multibody systems.

Multibody System Dynamics has been responsible for revolutionizing Mechanical Engineering Design by using mathematical models to simulate and optimize the dynamic behavior of a wide range of mechanical systems. These mathematical models not only can provide valuable informations about a system that could otherwise be obtained only by experiments with prototypes, but also have been responsible for the development of many model-based control systems. This work represents a contribution for dynamic modeling of multibody mechanical systems by developing a novel recursive modular methodology that unifies the main contributions of several Classical Mechanics formalisms. The reason for proposing such a methodology is to motivate the implementation of computational routines for modeling complex multibody mechanical systems without being dependent on closed source software and, consequently, to contribute for the teaching of Multibody System Dynamics in undergraduate and graduate levels. All the theoretical developments are based on and motivated by a critical literature review, leading to a general matrix form of the dynamic equations of motion of a multibody mechanical system (that can be expressed in terms of any set of variables adopted for the description of motions performed by the system, even if such a set includes redundant variables) and to a general recursive methodology for obtaining mathematical models of complex systems given a set of equations describing the dynamics of each of its uncoupled subsystems and another set describing the constraints among these subsystems in the assembled system. This work also includes some discussions on the description of motion (using any possible set of motion variables and admitting any kind of constraint that can be expressed by an invariant), and on the conditions for solving forward and inverse dynamics problems given a mathematical model of a multibody system. Finally, some examples of computational packages based on the novel methodology, along with some case studies, are presented, highlighting the contributions that can be achieved by using the proposed methodology.

Mitigação de falhas críticas em sistemas produtivos.

O cenário competitivo e globalizado em que as empresas estão inseridas, sobretudo a partir do século XXI, associados a ciclos de vida cada vez menores dos produtos, rigorosos requisitos de qualidade, além de políticas de preservação do meio ambiente, com redução de consumo energético e de recursos hídricos, somadas às exigências legais de melhores condições de trabalho, resultaram em uma quebra de paradigma nos processos produtivos até então concebidos. Como solução a este novo cenário produtivo pode-se citar o extenso uso da automação industrial, fato que resultou em sistemas cada vez mais complexos, tanto do ponto de vista estrutural, em função do elevado número de componentes, quanto da complexidade dos sistemas de controle. A previsibilidade de todos os estados possíveis do sistema torna-se praticamente impossível. Dentre os estados possíveis pode-se citar os estados de falha que, dependendo da severidade do efeito associado à sua ocorrência, podem resultar em sérios danos para o homem, o meio ambiente e às próprias instalações, caso não sejam corretamente diagnosticados e tratados. Fatos recentes de catástrofes relacionadas à sistemas produtivos revelam a necessidade de se implementar medidas para prevenir e para mitigar os efeitos da ocorrência de falhas, com o objetivo de se evitar a ocorrência de catástrofes. De acordo com especialistas, os Sistemas Instrumentados de Segurança SIS, referenciados em normas como a IEC 61508 e IEC 61511, são uma solução para este tipo de problema. Trabalhos publicados tratam de métodos para a implementação de camadas SIS de prevenção, porém com escassez de trabalhos para camadas SIS de mitigação. Em função do desconhecimento da dinâmica do sistema em estado de falha, técnicas tradicionais de modelagem tornam-se inviáveis. Neste caso, o uso de inteligência artificial, como por exemplo a lógica fuzzy, pode se tornar uma solução para o desenvolvimento do algoritmo de controle, associadas a ferramentas de edição, modelagem e geração dos códigos de controle. A proposta deste trabalho é apresentar uma sistemática para a implementação de um sistema de controle para a mitigação de falhas críticas em sistemas produtivos, com referência às normas IEC 61508/61511, com ação antecipativa à ocorrência de catástrofes.

A hydrological–economic model for sustainable groundwater use in sparse-data drylands: Application to the Amtoudi Oasis in southern Morocco, northern Sahara

A hydrological–economic model is introduced to describe the dynamics of groundwater-dependent economics (agriculture and tourism) for sustainable use in sparse-data drylands. The Amtoudi Oasis, a remote area in southern Morocco, in the northern Sahara attractive for tourism and with evidence of groundwater degradation, was chosen to show the model operation. Governing system variables were identified and put into action through System Dynamics (SD) modeling causal diagrams to program basic formulations into a model having two modules coupled by the nexus ‘pumping’: (1) the hydrological module represents the net groundwater balance (G) dynamics; and (2) the economic module reproduces the variation in the consumers of water, both the population and tourists. The model was operated under similar influx of tourists and different scenarios of water availability, such as the wet 2009–2010 and the average 2010–2011 hydrological years. The rise in international tourism is identified as the main driving force reducing emigration and introducing new social habits in the population, in particular concerning water consumption. Urban water allotment (PU) was doubled for less than a 100-inhabitant net increase in recent decades. The water allocation for agriculture (PI), the largest consumer of water, had remained constant for decades. Despite that the 2-year monitoring period is not long enough to draw long-term conclusions, groundwater imbalance was reflected by net aquifer recharge (R) less than PI + PU (G < 0) in the average year 2010–2011, with net lateral inflow from adjacent Cambrian formations being the largest recharge component. R is expected to be much less than PI + PU in recurrent dry spells. Some low-technology actions are tentatively proposed to mitigate groundwater degradation, such as: wastewater capture, treatment, and reuse for irrigation; storm-water harvesting for irrigation; and active maintenance of the irrigation system to improve its efficiency.

Effect of mutual coupling on the interference rejection capabilities of linear and circular arrays in CDMA systems

This paper is concerned with assessing the interference rejection capabilities of linear and circular array of dipoles that can be part of a base station of a code-division multiple-access cellular communication system. The performance criteria for signal-to-interference ratio (SIR) improvement employed in this paper is the spatial interference suppression coefficient. We first derive an expression for this figure of merit and then analyze and compare the SIR performance of the two types of arrays. For a linear array, we quantitatively assess the degradation in SIR performance, as we move from array broadside to array end-fire direction. In addition, the effect of mutual coupling is taken into account.

Stochastic delay differential equations for genetic regulatory networks

Time delay is an important aspect in the modelling of genetic regulation due to slow biochemical reactions such as gene transcription and translation, and protein diffusion between the cytosol and nucleus. In this paper we introduce a general mathematical formalism via stochastic delay differential equations for describing time delays in genetic regulatory networks. Based on recent developments with the delay stochastic simulation algorithm, the delay chemical masterequation and the delay reaction rate equation are developed for describing biological reactions with time delay, which leads to stochastic delay differential equations derived from the Langevin approach. Two simple genetic regulatory networks are used to study the impact of' intrinsic noise on the system dynamics where there are delays. (c) 2006 Elsevier B.V. All rights reserved.

Error-correcting codes that nearly saturate Shannon's bound

Gallager-type error-correcting codes that nearly saturate Shannon's bound are constructed using insight gained from mapping the problem onto that of an Ising spin system. The performance of the suggested codes is evaluated for different code rates in both finite and infinite message length.

Optical communications applications of ultra-long Raman fiber lasers

Recent work on ultra-long Raman fiber lasers has shown that it is possible to create quasi-lossless transmission conditions in fiber spans long enough to be considered for high speed optical communications. This paper reviews how quasi-lossless transmission conditions are reached and presents experimental results of 40Gb/s transmission in a quasi lossless system. The performance is compared with a conventional EDFA based system.

Expert systems for fault analysis

The initial aim of this research was to investigate the application of expert Systems, or Knowledge Base Systems technology to the automated synthesis of Hazard and Operability Studies. Due to the generic nature of Fault Analysis problems and the way in which Knowledge Base Systems work, this goal has evolved into a consideration of automated support for Fault Analysis in general, covering HAZOP, Fault Tree Analysis, FMEA and Fault Diagnosis in the Process Industries. This thesis described a proposed architecture for such an Expert System. The purpose of the System is to produce a descriptive model of faults and fault propagation from a description of the physical structure of the plant. From these descriptive models, the desired Fault Analysis may be produced. The way in which this is done reflects the complexity of the problem which, in principle, encompasses the whole of the discipline of Process Engineering. An attempt is made to incorporate the perceived method that an expert uses to solve the problem; keywords, heuristics and guidelines from techniques such as HAZOP and Fault Tree Synthesis are used. In a truly Expert System, the performance of the system is strongly dependent on the high quality of the knowledge that is incorporated. This expert knowledge takes the form of heuristics or rules of thumb which are used in problem solving. This research has shown that, for the application of fault analysis heuristics, it is necessary to have a representation of the details of fault propagation within a process. This helps to ensure the robustness of the system - a gradual rather than abrupt degradation at the boundaries of the domain knowledge.

A Bayesian perspective on stochastic neurocontrol

Control design for stochastic uncertain nonlinear systems is traditionally based on minimizing the expected value of a suitably chosen loss function. Moreover, most control methods usually assume the certainty equivalence principle to simplify the problem and make it computationally tractable. We offer an improved probabilistic framework which is not constrained by these previous assumptions, and provides a more natural framework for incorporating and dealing with uncertainty. The focus of this paper is on developing this framework to obtain an optimal control law strategy using a fully probabilistic approach for information extraction from process data, which does not require detailed knowledge of system dynamics. Moreover, the proposed control method framework allows handling the problem of input-dependent noise. A basic paradigm is proposed and the resulting algorithm is discussed. The proposed probabilistic control method is for the general nonlinear class of discrete-time systems. It is demonstrated theoretically on the affine class. A nonlinear simulation example is also provided to validate theoretical development.

Adaptive congestion control of DSRC vehicle networks for collaborative road safety applications

Congestion control is critical for the provisioning of quality of services (QoS) over dedicated short range communications (DSRC) vehicle networks for road safety applications. In this paper we propose a congestion control method for DSRC vehicle networks at road intersection, with the aims of providing high availability and low latency channels for high priority emergency safety applications while maximizing channel utilization for low priority routine safety applications. In this method a offline simulation based approach is used to find out the best possible configurations of message rate and MAC layer backoff exponent (BE) for a given number of vehicles equipped with DSRC radios. The identified best configurations are then used online by an roadside access point (AP) for system operation. Simulation results demonstrated that this adaptive method significantly outperforms the fixed control method under varying number of vehicles. The impact of estimation error on the number of vehicles in the network on system level performance is also investigated.