12 research outputs found

    Sampled data model predictive control for step response models

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    A design method of model predictive controller for sampled-data systems is presented using the lifting model of the step response of the plant. Compared to the standard model predictive controller, the new controller considers the inter-sample behavior of the continuous system and therefore it provides better performance

    Output regulation of linear systems with input constraints

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    This paper studies the output regulation problem of general linear systems with input saturation. The asympotically regulatable region which is the set of all initial states of the plant and the exosystem is given. A feedback controller based on a stabilizing law is given such that for given initial pair in the regulatable region, the controller ensures exponential output regulation

    43rd AUBEA: Australasian Universities Building Education Association Conference Proceedings, 6-8 November 2019, RACV Noosa Resort, Noosa, QLD, Australia

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    The Australasian Universities Building Education Association (AUBEA), a membership-based non-profit organisation, was established in 1975 to promote and improve teaching and research in building through communication and collaboration. It comprises of academics representing all universities throughout Australasia which provide education in building-related fields in Australasia and beyond. AUBEA maintains a strong connection to industry and professional associations, and since its inception has organised annual conferences. The annual conference brings together building and construction researchers, educators, students, and industry from Australasia and other regions, and provides them with a strong platform for knowledge sharing, collaboration, disciplinary reflections, institutional exchange, and collective growth. The 43rd Australasian University Building Educators Association Conference (AUBEA 2019) is held in Noosa, Australia from 6 to 8 November 2019, under the auspices of Central Queensland University. The conference theme is ‘Built to Thrive: creating buildings and cities that support individual well-being and community prosperity’. The theme explores various facets of creating built environment enhancing community satisfaction and social innovation. Various facets are captured through five sub-themes: ‘People and Skills’, ‘Theories and Principles’, ‘Learning and Teaching’, ‘Processes and Economics’ and ‘Regulations and Policies’. To maintain and assure the quality of the conference proceedings, each abstract received was reviewed. The authors received anonymous reviewers’ comments on their abstracts and were invited to submit their initial full papers. All the full papers have been peer reviewed with anonymous reviewers’ comments before final acceptance to the conference. The accepted papers are included in the conference presentation program and the proceedings

    An air brake model for longitudinal train dynamics studies

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    © 2016 Informa UK Limited, trading as Taylor & Francis Group. Experience of heavy haul train operation shows that heavy haul train fatigue fracture of coupler and its related components, even the accidents are caused by excessive coupler force. The most economical and effective method to study on train longitudinal impulse by reducing the coupler force is simulation method. The characteristics of train air brake system is an important excitation source for the study of longitudinal impulse. It is very difficult to obtain the braking characteristic by the test method, a better way to get the input parameters of the excitation source in the train longitudinal dynamics is modelling the train air brake system. In this paper, the air brake system model of integrated system of air brake and longitudinal dynamics is introduced. This introduce is focus on the locomotive automatic brake valve and vehicle distribution valve model, and the comparative analysis of the simulation and test results of the braking system is given. It is proved that the model can predict the characteristics of train braking system. This method provides a good solution for the excitation source of longitudinal dynamic analysis system

    International benchmarking of longitudinal train dynamics simulators: Results

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    This paper presents the results of the International Benchmarking of Longitudinal Train Dynamics Simulators which involved participation of nine simulators (TABLDSS, UM, CRE-LTS, TDEAS, PoliTo, TsDyn, CARS, BODYSIM and VOCO) from six countries. Longitudinal train dynamics results and computing time of four simulation cases are presented and compared. The results show that all simulators had basic agreement in simulations of locomotive forces, resistance forces and track gradients. The major differences among different simulators lie in the draft gear models. TABLDSS, UM, CRE-LTS, TDEAS, TsDyn and CARS had general agreement in terms of the in-train forces; minor differences exist as reflections of draft gear model variations. In-train force oscillations were observed in VOCO due to the introduction of wheel–rail contact. In-train force instabilities were sometimes observed in PoliTo and BODYSIM due to the velocity controlled transitional characteristics which could have generated unreasonable transitional stiffness. Regarding computing time per train operational second, the following list is in order of increasing computing speed: VOCO, TsDyn, PoliTO, CARS, BODYSIM, UM, TDEAS, CRE-LTS and TABLDSS (fastest); all simulators except VOCO, TsDyn and PoliTo achieved faster speeds than real-time simulations. Similarly, regarding computing time per integration step, the computing speeds in order are: CRE-LTS, VOCO, CARS, TsDyn, UM, TABLDSS and TDEAS (fastest). © 2017 Informa UK Limited, trading as Taylor & Francis Group

    Detection of SNPs in the BMP6 Gene and Their Association with Carcass and Bone Traits in Chicken

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    <div><p>ABSTRACT BMP6, a member of the subfamilies of the morphogenetic proteins (BMPs), plays a crucial role in osteogenic and chondrocyte differentiation in vitro and stimulates chondrogenesis, making chondrocytes differen-tiate on their terminal stage. The objective of this study is to explore the relationship between polymorphism of BMP6 gene and slaughter traits in chicken respectively. We screened the exonic and intronic regions of BMP6 gene by DNA pool construction and amplified DNA fragment by PCR, and finally, we got nine SNPs. Association analysis revealed that BMP6 had no significant association among all slaughter traits in Yellow bantam chicken. However, BMP6 had a significant difference with femur weight, tibia weight, femur length (p<0.05), and was extremely significant with tibia length (p<0.01) in Avian chicken. Moreover, femur perimeter also had significant correlation with BMP6 in Avian chicken. These results provide useful information for further investigation on the function of chicken BMP6 gene.</p></div

    The relationship between hair metabolites, air pollution exposure and gestational diabetes mellitus: A longitudinal study from pre-conception to third trimester

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    Background: Gestational diabetes mellitus (GDM) is a metabolic condition defined as glucose intolerance with first presentation during pregnancy. Many studies suggest that environmental exposures, including air pollution, contribute to the pathogenesis of GDM. Although hair metabolite profiles have been shown to reflect pollution exposure, few studies have examined the link between environmental exposures, the maternal hair metabolome and GDM. The aim of this study was to investigate the longitudinal relationship (from pre-conception through to the third trimester) between air pollution exposure, the hair metabolome and GDM in a Chinese cohort. Methods: A total of 1020 women enrolled in the Complex Lipids in Mothers and Babies (CLIMB) birth cohort were included in our study. Metabolites from maternal hair segments collected pre-conception, and in the first, second, and third trimesters were analysed using gas chromatography-mass spectrometry (GC-MS). Maternal exposure to air pollution was estimated by two methods, namely proximal and land use regression (LUR) models, using air quality data from the air quality monitoring station nearest to the participant’s home. Logistic regression and mixed models were applied to investigate associations between the air pollution exposure data and the GDM associated metabolites. Results: Of the 276 hair metabolites identified, the concentrations of fourteen were significantly different between GDM cases and non-GDM controls, including some amino acids and their derivatives, fatty acids, organic acids, and exogenous compounds. Three of the metabolites found in significantly lower concentrations in the hair of women with GDM (2-hydroxybutyric acid, citramalic acid, and myristic acid) were also negatively associated with daily average concentrations of PM2.5, PM10, SO2, NO2, CO and the exposure estimates of PM2.5 and NO2, and positively associated with O3. Conclusions: This study demonstrated that the maternal hair metabolome reflects the longitudinal metabolic changes that occur in response to environmental exposures and the development of GDM

    Supplementary - Metabonomic analysis of toxic action of long-term low-level exposure to acrylamide in rat serum

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    <p>Supplementary for Metabonomic analysis of toxic action of long-term low-level exposure to acrylamide in rat serum by C Cao, H Shi, M Zhang, L Bo, L Hu, S Li, S Chen, S Jia, YJ Liu, YL Liu, X Zhao and L Zhang in Human & Experimental Toxicology</p

    A structural variation reference for medical and population genetics

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    Structural variants (SVs) rearrange large segments of DNA1 and can have profound consequences in evolution and human disease2,3. As national biobanks, disease-association studies, and clinical genetic testing have grown increasingly reliant on genome sequencing, population references such as the Genome Aggregation Database (gnomAD)4 have become integral in the interpretation of single-nucleotide variants (SNVs)5. However, there are no reference maps of SVs from high-coverage genome sequencing comparable to those for SNVs. Here we present a reference of sequence-resolved SVs constructed from 14,891 genomes across diverse global populations (54% non-European) in gnomAD. We discovered a rich and complex landscape of 433,371 SVs, from which we estimate that SVs are responsible for 25–29% of all rare protein-truncating events per genome. We found strong correlations between natural selection against damaging SNVs and rare SVs that disrupt or duplicate protein-coding sequence, which suggests that genes that are highly intolerant to loss-of-function are also sensitive to increased dosage6. We also uncovered modest selection against noncoding SVs in cis-regulatory elements, although selection against protein-truncating SVs was stronger than all noncoding effects. Finally, we identified very large (over one megabase), rare SVs in 3.9% of samples, and estimate that 0.13% of individuals may carry an SV that meets the existing criteria for clinically important incidental findings7. This SV resource is freely distributed via the gnomAD browser8 and will have broad utility in population genetics, disease-association studies, and diagnostic screening
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