A performance comparison of robust adaptive controllers: linear systems

We consider robust adaptive control designs for relative degree one, minimum phase linear systems of known high frequency gain. The designs are based on the dead-zone and projection modifications, and we compare their performance w.r.t. a worst case transient cost functional with a penalty on the L∞ norm of the output, control and control derivative. We establish two qualitative results. If a bound on the L∞ norm of the disturbance is known and the known a priori bound on the uncertainty level is sufficiently conservative, then it is shown that a dead-zone controller outperforms a projection controller. The complementary result shows that the projection controller is superior to the dead-zone controller when the a priori information on the disturbance level is sufficiently conservative

Faunistische Untersuchungen und Erfahrungen in der Ektoparasitenbekämpfung bei landwirtschaftlichen Nutztieren in der Mongolischen Volksrepublik

Die bedeutsamen Ektoparasitosen der Nutztierbestände in der Mongolischen Volksrepublik - Hypodermose bei Rind und Yak, Räude bei Rind, Yak und Schaf, Östrose beim Schaf, Gasterophilose beim Pferd sowie Zeckenbefall und Vermipsyllose bei Rind, Yak, Schaf und Ziege werden an Hand eigener Untersuchungen hinsichtlich Erregerspektrum, Schadwirkung und Bekämpfung vorgestellt. Животноводству мнР эктопаразиты приносят значительный ущерб. Экономические потери выражаютая в снижении производства шерсти, мяса и молока у пораженных животных, а также в повреждении кожевенного сырья. Кроме того, эктопереэиты играют роль как возбудители зоонозов. С 1970 г. по проекту из Г ДР и с участием специалистов из Г ДР производится плановая борьба с эктопаразитами домашних животных, основой которой являются обширные фаунистические и эпиаоотиопогические исследования

Existence and learning of oscillations in recurrent neural networks

We study a particular class of n-node recurrent neural networks (RNNs). In the 3-node case we use monotone dynamical systems theory to show, for a well-defined set of parameters, that, generically, every orbit of the RNN is asymptotic to a periodic orbit. We then investigate whether RNNs of this class can adapt their internal parameters so as to ?learn? and then replicate autonomously (in feedback) certain external periodic signals. Our learning algorithm is similar to the identification algorithms in adaptive control theory. The main feature of the algorithm is that global exponential convergence of parameters is guaranteed. We also obtain partial convergence results in the n-node cas

Automatic identification of relevant chemical compounds from patents

In commercial research and development projects, public disclosure of new chemical compounds often takes place in patents. Only a small proportion of these compounds are published in journals, usually a few years after the patent. Patent authorities make available the patents but do not provide systematic continuous chemical annotations. Content databases such as Elsevier’s Reaxys provide such services mostly based on manual excerptions, which are time-consuming and costly. Automatic text-mining approaches help overcome some of the limitations of the manual process. Different text-mining approaches exist to extract chemical entities from patents. The majority of them have been developed using sub-sections of patent documents and focus on mentions of compounds. Less attention has been given to relevancy of a compound in a patent. Relevancy of a compound to a patent is based on the patent’s context. A relevant compound plays a major role within a patent. Identification of relevant compounds reduces the size of the extracted data and improves the usefulness of patent resources (e.g. supports identifying the main compounds). Annotators of databases like Reaxys only annotate relevant compounds. In this study, we design an automated system that extracts chemical entities from patents and classifies their relevance. The goldstandard set contained 18 789 chemical entity annotations. Of these, 10% were relevant compounds, 88% were irrelevant and 2% were equivocal. Our compound recognition system was based on proprietary tools. The performance (F-score) of the system on compound recognition was 84% on the development set and 86% on the test set. The relevancy classification system had an F-score of 86% on the development set and 82% on the test set. Our system can extract chemical compounds from patents and classify their relevance with high performance. This enables the extension of the Reaxys database by means of automation

Faunistische Untersuchungen und Erfahrungen in der Ektoparasitenbekämpfung bei landwirtschaftlichen Nutztieren in der Mongolischen Volksrepublik

Die bedeutsamen Ektoparasitosen der Nutztierbestände in der Mongolischen Volksrepublik - Hypodermose bei Rind und Yak, Räude bei Rind, Yak und Schaf, Östrose beim Schaf, Gasterophilose beim Pferd sowie Zeckenbefall und Vermipsyllose bei Rind, Yak, Schaf und Ziege werden an Hand eigener Untersuchungen hinsichtlich Erregerspektrum, Schadwirkung und Bekämpfung vorgestellt. Животноводству мнР эктопаразиты приносят значительный ущерб. Экономические потери выражаютая в снижении производства шерсти, мяса и молока у пораженных животных, а также в повреждении кожевенного сырья. Кроме того, эктопереэиты играют роль как возбудители зоонозов. С 1970 г. по проекту из Г ДР и с участием специалистов из Г ДР производится плановая борьба с эктопаразитами домашних животных, основой которой являются обширные фаунистические и эпиаоотиопогические исследования

Feststoffliche branchenspezifische Inhalte aus Sandfaengen und Leichtfluessigkeitsabscheidern Schlussbericht

SIGLEAvailable from TIB Hannover: F00B911 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekATV-DVWK Abwasser - Abfall - Gewaesserschutz, Hennef (Germany)DEGerman