Monotonic Convergence of Iterative Learning Control for Uncertain Systems Using a Time-Varying Filter

Iterative learning control (ILC) is a learning technique used to improve the performance of systems that execute the same task multiple times. Learning transient behavior has emerged as an important topic in the design and analysis of ILC systems. In practice, the learning control is often low-pass filtered with a ldquoQ-filterrdquo to prevent transient growth, at the cost of performance. In this note, we consider linear time-invariant, discrete-time, single-input single-output systems, and convert frequency-domain uncertainty models to a time-domain representation for analysis. We then develop robust monotonic convergence conditions, which depend directly on the choice of the Q-filter and are independent of the nominal plant dynamics. This general result is then applied to a class of linear time-varying Q-filters that is particularly suited for precision motion control.     

Photon-independent gas-phase-ion formation in capillary electrophoresis-mass spectrometry using atmospheric pressure photoionization

In a previous study on capillary electrophoresis-atmospheric pressure photoionization mass spectrometry (CE-APPI-MS), it was observed that the formation of gas-phase ions does not always proceed through photon-induced mechanisms (Hommerson, P.; Khan, A. M.; De Jong, G. J.; Somsen, G. W. Electrophoresis 2007, 28, 1444-1453). That is, analyte signals were observed when the VUV excitation source was switched off. The aim of the present study was to further explore this photon-independent ionization (PII) process. Parameters such as MS capillary voltage, compound nature, background electrolyte (BGE) composition, and presence of dopants were studied using a CE-APPI-MS setup. Infusion experiments showed a relatively low MS capillary voltage of approximately 600 V to be the main prerequisite for PII. Quaternary ammonium compounds showed strong responses in PII-MS but could not be observed in dopant-assisted APPI. Basic amines could be ionized by both photoionization (PI) and PII, whereas neutral compounds (steroids) could only be observed using PI. Nonvolatile BGEs appeared to cause substantial ionization suppression in PII, while PI signals remained largely unaffected. Selection of the proper interface and MS settings allowed PI and PII to proceed simultaneously, which broadened the range of compounds that could be analyzed in a single CE-APPI-MS run. Based on the observed characteristics, it is concluded that PII most probably occurs by a liquid-phase ionization mechanism, which appears to arise in the APPI source when specific conditions are selected.     

Reduced beta 1 receptor messenger RNA abundance in the failing human heart

Heart failure in humans is characterized by alterations in myocardial adrenergic signal transduction, the most prominent of which is down-regulation of beta 1-adrenergic receptors. We tested the hypothesis that down-regulation of beta 1-adrenergic receptors in the failing human heart is related to decreased steady-state levels of beta 1 receptor mRNA. Due to the extremely low abundance of beta 1 receptor mRNA, measurements were possible only by quantitative polymerase chain reaction (QPCR) or by RNase protection methods. Because the beta 1 receptor gene is intronless and beta 1 receptor mRNA abundance is low, QPCR yielded genomic amplification in total RNA, and mRNA measurements had to be performed in poly (A)(+)-enriched RNA. By QPCR the concentration of beta 1 receptor mRNA varied from 0.34 to 7.8 x 10(7) molecules/microgram poly(A)(+)-enriched RNA, and the assay was sensitive to 16.7 zeptomol. Using 100-mg aliquots of left ventricular myocardium obtained from organ donors (nonfailing ventricles, n = 12) or heart transplant recipients (failing ventricles, n = 13), the respective beta 1 mRNA levels measured by QPCR were 4.2 +/- 0.7 x 10(7)/micrograms vs. 2.10 +/- 0.3 x 10(7)/micrograms (P = 0.006). In these same nonfailing and failing left ventricles the respective beta 1-adrenergic receptor densities were 67.9 +/- 6.9 fmol/mg vs. 29.6 +/- 3.5 fmol/mg (P = 0.0001). Decreased mRNA abundance in the failing ventricles was confirmed by RNase protection assays in total RNA, which also demonstrated a 50% reduction in beta 1 message abundance. We conclude that down-regulation of beta 1 receptor mRNA contributes to down-regulation of beta 1 adrenergic receptors in the failing human heart.     

Lidar-signal compression by photomultiplier gain modulation: influence of detector nonlinearity

The application of photomultiplier gain modulation to the compression of wide-dynamic-range lidar signals is investigated in relation to the effect of the gain level on anode-signal linearity. Gain reduction is achieved by the coupling of modulation signals through either multidynode or focus-grid gating networks. This technique facilitates signal recovery and prevents detector nonlinearity and dynode damage caused by high near-field lidar signals. The measurements were performed in the current mode primarily on a 50-mm-diameter, 12-stage photomultiplier (EMI 9214) with a bialkali photocathode. With 3- or 4-dynode-based modulation made at a photomultiplier voltage of 1300 V and a gain of 1 x 10(7), signals of ~6 mA can be maintained at the 1% linearity limit from 100% to 0.2% modulation, corresponding to a 500-fold reduction in the lidar-signal dynamic range. A significant advantage to dynode modulation is that it preserves the shot-signal-to-noise ratio of the incoming signal, which is not true for focus-grid modulation or external predetection schemes such as controlled obscuration or Pockels-cell modulation that attenuate the as-yet unamplified signal.     

Recombinant-DNA-derived insulin analogues as potentially useful therapeutic agents

Whilst insulin is a spectacularly successful drug for the management of diabetes mellitus, it remains difficult to mimic the physiological pattern of insulin secretion, even using the various quick-acting and insoluble formulations that are available. The introduction of recombinant-DNA technology to the manufacture of therapeutic insulin has made the rational design and production of insulin analogues with altered pharmacokinetic and pharmacological properties possible. Such analogues include 'monomeric' insulins, which do not form the insulin-zinc hexamer in solution and are absorbed more rapidly from the injection site, and long-acting insulins, which are absorbed very slowly at physiological pH. Many of these analogues are being tested clinically, and it is possible that the next generation of insulin therapy will be various combinations of rationally designed insulin analogues produced by industrial biotechnology.     

Developing a temperature‐dependent Kersten function for soil thermal conductivity

This paper describes the development of the Kersten function (Ke), which depends on soil temperature and the degree of saturation. The new Kersten function enables the prediction of thermal conductivities of moist soils also including high temperatures. The eight soils used in this paper represent three distinct textural groups, each having a comparable shape of Kersten function. The soil thermal conductivity is obtained from a linear interpolation between the dryness and saturation states with the Ke as the slope. The new Kersten function is valid when the degree of saturation (S_r) is greater than 0.125 and soil temperature is between 30 and 90°C. At a lower degree of saturation (i.e. 0<S_r<0.125), a linear approximation is applied to Ke. The new Ke function gives particularly good agreement with experimental data for temperatures of 30 and 50°C and for low moisture contents at all temperatures. At higher temperatures (i.e. 70 and 90°C) and moisture contents above the permanent wilting point, generally good or acceptable results were obtained. Copyright © 2000 John Wiley & Sons, Ltd.     

Accurate mass measurement for the determination of elemental formula--a tutorial

The application of accurate mass measurement for the determination of elemental formula has its origin in the 1950s and for many years was only carried out using magnetic sector mass spectrometers. The availability of such measurements was limited due to the cost and complexity of the instrumentation and the need for considerable expertise to acquire and interpret the spectra. In recent years the incredible pace of instrumental development has changed this, particularly with the renaissance of time of flight mass spectrometry. This has resulted in instrumentation capable of making accurate mass measurements in a robust fashion becoming available to most practitioners of (mass spectrometry) MS, without some of the earlier technical challenges and at lower cost. In this review the variety of accurate mass measurement instrumentation and techniques and their relative capabilities are discussed, along with a range of applications requiring the determination of elemental formula.     

Uses of accelerometer data collected from a wearable system

This paper presents work, assessing the use of accelerometers in wearable systems for a number of applications. It discusses and demonstrates how body mounted accelerometers can be used in context aware computing systems and for measuring aspects of human performance, which may be used for teaching and demonstrating skill acquisition, coaching sporting activities, sports and human movement research, and teaching subjects such as physics and physical education. Analysis is restricted to considerations as to how raw data can be used, and how simple calculations of quantities of data in the time domain, can be used. The limitations of the use of such data are discussed.     

A numerical method for determining monotonicity and convergence rate in iterative learning control

In iterative learning control (ILC), a lifted system representation is often used for design and analysis to determine the convergence rate of the learning algorithm. Computation of the convergence rate in the lifted setting requires construction of large N×N matrices, where N is the number of data points in an iteration. The convergence rate computation is O(N²) and is typically limited to short iteration lengths because of computational memory constraints. As an alternative approach, the implicitly restarted Arnoldi/Lanczos method (IRLM) can be used to calculate the ILC convergence rate with calculations of O(N). In this article, we show that the convergence rate calculation using IRLM can be performed using dynamic simulations rather than matrices, thereby eliminating the need for large matrix construction. In addition to faster computation, IRLM enables the calculation of the ILC convergence rate for long iteration lengths. To illustrate generality, this method is presented for multi-input multi-output, linear time-varying discrete-time systems.     

Effect of processing additive 1,8-octanedithiol on the lifetime of PCPDTBT based Organic Photovoltaics

The effect that processing additives have upon the lifetime of PCPDTBT-based OPVs has been investigated. The results show conclusively that whilst ODT processing additive enhances the initial performance of PCPDTBT:PCBM OPVs, it is detrimental to their long term performance, when measured under light soaking at 1 Sun of irradiance. Results are shown for both encapsulated and non-encapsulated devices. Topographical and morphological measurements made using AFM and small- and wide-angle X-ray scattering of active layers show that there are greater morphological changes of devices fabricated with the 1,8-octanedithiol upon light soaking, revealing a relatively venerable morphology of the active layer processed with the additive, when subject to light soaking.