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  • 1
    Online Resource
    Online Resource
    Singapore :Springer Singapore Pte. Limited,
    Keywords: Intelligent control systems -- Mathematical models. ; Automatic control -- Mathematical models. ; Artificial intelligence -- Engineering applications. ; Electronic books.
    Description / Table of Contents: This book examines iterative learning control (ILC) with a focus on design and implementation. It presents a framework with various methodologies to ensure the learnable bandwidth in the ILC system to be set with a balance between performance and stability.
    Type of Medium: Online Resource
    Pages: 1 online resource (232 pages)
    Edition: 1st ed.
    ISBN: 9789814585606
    Series Statement: Advances in Industrial Control Series
    DDC: 629.8
    Language: English
    Note: Intro -- Preface -- Contents -- 1 Introduction -- 1.1 Background -- 1.1.1 What Is ILC? -- 1.1.2 A Brief History -- 1.2 Basics of ILC -- 1.2.1 ILC Formulation -- 1.2.2 Comparison of ILC in Different Domains -- 1.3 ILC Design and Analysis -- 1.3.1 ILC Learning Laws -- 1.3.2 Two ILC Configurations -- 1.3.3 Convergence Analysis -- 1.3.4 Transient Analysis -- 1.4 Robotic System with ILC -- 1.5 About the Book -- References -- 2 Learnable Band Extension and Multi-channel Configuration -- 2.1 A-Type Learning Control -- 2.2 Convergence Analysis of A-Type ILC -- 2.3 Design of A-Type ILC -- 2.3.1 Lead-Time Selection -- 2.3.2 Gain Selection -- 2.3.3 Robustness in Design -- 2.4 A Design Example of A-Type ILC -- 2.4.1 Learning Control Design -- 2.4.2 Comparison of D-, P-, PD-, and A-Type ILCs -- 2.4.3 Case Study and Experiments -- 2.5 A-Type ILC Based Multiple Channel Learning -- 2.5.1 Multi-channel Structure for ILC -- 2.5.2 Error Separation -- 2.6 Multi-channel A-Type ILC -- 2.7 Design of Multi-channel A-Type ILC -- 2.8 Robot Application of Multi-channel A-Type ILCs -- 2.9 Conclusion -- References -- 3 Learnable Bandwidth Extension by Auto-Tunings -- 3.1 Cutoff Frequency Tuning -- 3.1.1 Objective and Problems -- 3.1.2 Learning Stability -- 3.1.3 Learning Divergence -- 3.1.4 Cutoff Frequency Tuning -- 3.1.5 Termination of Tuning -- 3.2 Lead Step Tuning -- 3.2.1 Basis of Tuning -- 3.2.2 Tuning Method -- 3.3 Experiment on Auto-Tuning ILC -- 3.3.1 Experiment 1: A-Type ILC with l=5 and γ=1 -- 3.3.2 Experiment 2: One-Step-Ahead ILC with l=1 and γ=1 -- 3.3.3 Experiment 3: Tuning Lead Step with γ=1 -- 3.4 Conclusion -- References -- 4 Reverse Time Filtering Based ILC -- 4.1 Best Phase Lead and Generation Method for SISO ILC System -- 4.2 Learning Control Using Reversed Time Input Runs -- 4.2.1 Learning Law -- 4.2.2 Model Based Approach. , 4.3 Comparison with Other Works -- 4.4 Case Study of Robot Application -- 4.4.1 Exact Zero Phase -- 4.4.2 Reverse Time Filtering Using a Model -- 4.4.3 Robot Performance and Experiments -- 4.5 MIMO ILC System and Error Contraction -- 4.6 Clean System Inversion ILC -- 4.7 System Hermitian ILC -- 4.8 An Example of Robot Joints and Experiments -- 4.9 Conclusion -- References -- 5 Wavelet Transform Based Frequency Tuning ILC -- [DELETE] -- 5.1 Wavelet Packet Algorithm for Error Analysis -- 5.1.1 Wavelet Packet Algorithm -- 5.1.2 Error Analysis Using Wavelet Packet Algorithm -- 5.2 Cutoff Frequency Tuning ILC -- 5.2.1 Cutoff Frequency Tuning Scheme -- 5.2.2 Design of Zero-Phase Low-Pass Filter -- 5.3 Time-Frequency Domain Analysis -- 5.4 Case Study of Frequency Tuning ILC -- 5.4.1 Determination of Learning Gain -- 5.4.2 Determination of Lead Step -- 5.4.3 Determination of Decomposition Level -- 5.4.4 Experimental Results -- 5.5 Conclusion -- References -- 6 Learning Transient Performance with Cutoff-Frequency Phase-In -- [DELETE] -- 6.1 Upper Bound of Trajectory Length for Good Learning Transient -- 6.2 Cutoff-Frequency Phase-In Method -- 6.3 Sliding Cutoff-Frequency Phase-In Method -- 6.4 Robot Case Study with Experimental Results -- 6.4.1 Parameter Selection -- 6.4.2 Overcoming Initial Position Offset -- 6.4.3 Improving Tracking Accuracy -- 6.5 Conclusion -- References -- 7 Pseudo-Downsampled ILC -- 7.1 Downsampled Learning -- 7.1.1 Pseudo-Downsampled ILC -- 7.1.2 Two-Mode ILC -- 7.2 Learning Data Processing -- 7.2.1 Signal Extension -- 7.2.2 Anti-aliasing Filtering and Anti-imaging Filtering -- 7.2.3 Simulation Results -- 7.3 Convergence Analysis -- 7.3.1 Convergence of Pseudo-Downsampled ILC -- 7.3.2 Convergence Analysis of Two-Mode ILC -- 7.4 Experimental Study of Downsampled ILC -- 7.4.1 Parameter Selection. , 7.4.2 Experimental Study of Two-Mode ILC -- 7.5 Conclusion -- References -- 8 Cyclic Pseudo-Downsampled ILC -- 8.1 Cyclic Pseudo-Downsampling ILC -- 8.2 Convergence and Robustness Analysis -- 8.3 Robot Application -- 8.3.1 Parameter Selection -- 8.3.2 Experiment of Cyclic Pseudo-Downsampled ILC -- 8.4 Conclusion -- References -- 9 Possible Future Research -- A A Robotic Test-Bed for Iterative Learning Control -- A.1 Hardware System -- A.1.1 Connections -- A.1.2 Non-Dynamic Parameters -- A.2 Software Platform for ILC -- A.2.1 Two-Level Software Architecture -- A.2.2 Simulink Diagrams -- A.3 Data Monitoring and Parameter Tuning via GUI -- A.4 Conclusion -- References.
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  • 2
    Keywords: Forschungsbericht ; Autonomes Fahrzeug ; Elektroantrieb ; Leistungshalbleiter ; Siliciumcarbid ; Elektronik ; Ausfallsicheres System ; Funktionssicherheit
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (74 Seiten, 4,96 MB) , Illustrationen, Diagramme
    Language: German
    Note: Literaturverzeichnis: Seite 68 , Förderkennzeichen BMBF 16ESE0259 [richtig] - 16ESE0245K [falsch] , Verbundnummer 01178426 , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden , Sprache der Zusammenfassung: Deutsch, Englisch
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  • 3
    Electronic Resource
    Electronic Resource
    [S.l.] : American Institute of Physics (AIP)
    Journal of Applied Physics 81 (1997), S. 7589-7594 
    ISSN: 1089-7550
    Source: AIP Digital Archive
    Topics: Physics
    Notes: Field emission from a single level surface state is modelled and numerically estimated. Field emission current from the surface state is dominant at low fields while field emission current from the conduction band is dominant at high fields due to not enough electrons being supplied for the surface state. The field emission Fowler–Nordheim plot shows no linearity. © 1997 American Institute of Physics.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Oxford BSL : Blackwell Science Ltd
    Molecular microbiology 31 (1999), S. 0 
    ISSN: 1365-2958
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology , Medicine
    Notes: When starved, Bacillus subtilis undergoes asymmetric division to produce two cell types with different fates. The larger mother cell engulfs the smaller forespore, then nurtures it and, eventually, lyses to release a dormant, environmentally resistant spore. Driving these changes is a programme of transcriptional gene regulation. At the heart of the programme are σ factors, which become active at different times, some only in one cell type or the other, and each directing RNA polymerase to transcribe a different set of genes. The activity of each σ factor in the cascade is carefully regulated by multiple mechanisms. In some cases, novel proteins control both σ factor activity and morphogenesis, co-ordinating the programme of gene expression with morphological change. These bifunctional proteins, as well as other proteins involved in σ factor activation, and even precursors of σ factors themselves, are targeted to critical locations, allowing the mother cell and forespore to communicate with each other and to co-ordinate their programmes of gene expression. This signalling can result in proteolytic σ factor activation. Other mechanisms, such as an anti-σ factor and, perhaps, proteolytic degradation, prevent σ factors from becoming active in the wrong cell type. Accessory transcription factors modulate RNA polymerase activity at specific promoters. Negative feedback loops limit σ factor production and facilitate the transition from one σ factor to the next. Together, the mechanisms controlling σ factor activity ensure that genes are expressed at the proper time and level in each cell type.
    Type of Medium: Electronic Resource
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  • 5
    ISSN: 1440-1797
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Medicine
    Notes: Aim:  To investigate the potential role of peritubular capillary (PTC) loss and subsequent hypoxia as a pathogenic factor in interstitial fibrosis after renal ablation in rats.Methods:  PTC loss and tubulointerstitial hypoxia in remnant kidney rats (SNTx group), sham-operated rats (sham group) and normal animals (normal group) were assessed by peritubular CD141-positive staining lumina and tubulointerstitial hypoxia-inducible factor α subunit 1 (HIF-1α) expression, respectively, at the time points of week 3, week 6 and week 12. The related cardinal factors contributing to interstitial fibrosis, such as transforming growth factor-β1 (TGF-β1), α-smooth muscle actin (α-SMA) were also evaluated and analysed in the context of progressive PTC loss. Expression of TGF-β1 mRNA in cultured renal tubular epithelial cells (MDCK cells) exposed to hypoxia was also investigated.Results:  PTC loss and tubulointerstitial hypoxia were noted even in the early stage (week 3) when the interstitial fibrosis was mild, and were persistent in the process of developing interstitial fibrosis. An in vitro study showed that hypoxia enhanced TGF-β1 mRNA expression in the MDCK cells.Conclusion:  PTC loss or hypoxic milieu in the tubulointerstitium is a pathological event, which may contribute to the developing interstitial fibrosis mediated by direct hypoxic effects and via hypoxia-induced TGF-β1 expression.
    Type of Medium: Electronic Resource
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  • 6
    ISSN: 1546-1718
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Medicine
    Notes: [Auszug] Mutations in LMAN1 (also called ERGIC-53) result in combined deficiency of factor V and factor VIII (F5F8D), an autosomal recessive bleeding disorder characterized by coordinate reduction of both clotting proteins. LMAN1 is a mannose-binding type 1 transmembrane protein localized to the endoplasmic ...
    Type of Medium: Electronic Resource
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  • 7
    Electronic Resource
    Electronic Resource
    Oxford [u.a.] : International Union of Crystallography (IUCr)
    Acta crystallographica 56 (2000), S. e90-e91 
    ISSN: 1600-5759
    Source: Crystallography Journals Online : IUCR Backfile Archive 1948-2001
    Topics: Chemistry and Pharmacology , Geosciences , Physics
    Notes: The title complex, C14H20O4S8+.BF4−, is a charge-transfer complex with typical charges for the donor and anion of +1 and −1, respectively. Two centrosymmetrically related donors form a face-to-face π-dimer with a strong intermolecular S...S interaction. These π-dimers stack along the a axis to form a donor column. The structure is extensively hydrogen bonded.
    Type of Medium: Electronic Resource
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  • 8
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Chinese Astronomy and Astrophysics 15 (1991), S. 157-163 
    ISSN: 0275-1062
    Keywords: Jupiter satellites-Io-volcanic plumes
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Physics
    Type of Medium: Electronic Resource
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  • 9
    ISSN: 1600-079X
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Medicine
    Notes: Abstract:  Melatonin is an endogenous antioxidant and free radical scavenger. A transgenic (Tg) mouse model for Alzheimer's disease mimics the accumulation of senile plaques, neuronal apoptosis and memory impairment. Previous studies indicated that melatonin reduced β-amyloid (Aβ)-induced neurotoxicity. In this study, after giving melatonin at 10 mg/kg to APP 695 transgenic (APP 695 Tg) mice for 4 months, we evaluated the long-term influence of melatonin on behavior, biochemical and neuropathologic changes in APP 695 Tg mice. Step-down and step-through passive avoidance tests suggested that 8-month-old APP 695 Tg mice showed decreases in step-down latency and step-through latency and increases in count of error throughout the entire learning trial and memory session, which suggested learning and memory impairment. However, melatonin alleviated learning and memory deficits. Additionally, choline acetyltransferase (ChAT) activity also decreased in the frontal cortex and hippocampus of APP 695 Tg mice compared with non-Tg littermates. Melatonin supplementation increased ChAT activity in the frontal cortex and hippocampus. DNA fragmentation was present in the frontal cortex of the APP 695 Tg mice; melatonin reduced the number of apoptotic neurons. Congo Red staining and Bielschowsky silver impregnation both showed the apparent extracellular Aβ deposition in frontal cortex of APP 695 Tg mice. However, melatonin decreased the Aβ deposits. Our results indicate that neuroprotection by melatonin is partly related to modulation of apoptosis and protection of the cholinergic system. Early rational melatonin interventions may be one of the most promising strategies in the development of approaches to retard or prevent Aβ-mediated disease progression.
    Type of Medium: Electronic Resource
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  • 10
    Electronic Resource
    Electronic Resource
    Springer
    Archiv der Mathematik 64 (1995), S. 209-215 
    ISSN: 1420-8938
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Type of Medium: Electronic Resource
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