2,653 research outputs found
Control and Filtering for Discrete Linear Repetitive Processes with H infty and ell 2--ell infty Performance
No full textRepetitive processes are characterized by a series of sweeps, termed passes, through a set of dynamics defined over a finite duration known as the pass length. On each pass an output, termed the pass profile, is produced which acts as a forcing function on, and hence contributes to, the dynamics of the next pass profile. This can lead to oscillations which increase in amplitude in the pass to pass direction and cannot be controlled by standard control laws. Here we give new results on the design of physically based control laws for the sub-class of so-called discrete linear repetitive processes which arise in applications areas such as iterative learning control. The main contribution is to show how control law design can be undertaken within the framework of a general robust filtering problem with guaranteed levels of performance. In particular, we develop algorithms for the design of an H? and dynamic output feedback controller and filter which guarantees that the resulting controlled (filtering error) process, respectively, is stable along the pass and has prescribed disturbance attenuation performance as measured by and – norms
REDUCTION OF THE VIBRATION-ROTATION-LAM HAMILTONIAN
No full textAuthor Institution: Department of Physics, Texas Tech UniversityThe vibration-rotation-LAM Hamiltonian requires two independent separation conditions to reduce the Coriolis interaction and the vibration-LAM kinetic energy interaction. In the limit of the LAM approaching a SAM, the effective vibration-rotation Hamiltonian and/or energy must reduce to the usual vibration-rotation Hamiltonian when no internal motion is a LAM. We show how to perform this reduction, especially as it relates to the T-and R-transformations and the normal coordinate transformation
Utility of novel diagnostic tests for tuberculosis using human urine
No full textIncludes abstract.Includes bibliographical references.Two thirds of new TB cases in sub-Saharan Africa are HIV coinfected. HIV-TB co-infection increases the incidence of extra-pulmonary, sputum smear-negative and sputum-scarce TB. In these vulnerable patientgroups with high mortality rates, sputum-based diagnostic tools are unhelpful. Urine-based diagnostics offer an attractive, easily available alternative for rapid diagnosis. We evaluated the point-of-care urine LAM strip test (Determine TB LAM Ag test, Alere) and urine-based Xpert MTB/RIF for TB diagnosis in two patient cohorts with high HIV prevalence. A spot urine sample was collected from two cohorts of persons with suspected TB. The first cohort consisted of ambulatory primary care clinic patients suspected of having TB (group 1) whilst the second comprised hospitalised patients with suspected HIV co-infection (group 2). The urine LAM ELISA, LAM strip test and Xpert MTB/RIF were performed according to the manufacturer’s instructions. In addition, the effects of using an alternative ‘rulein’ cut-point for the urine LAM strip test and a pelleted (2-10ml) urine sample for Xpert MTB/RIF testing on diagnostic accuracy and inter-reader reliability was assessed. The diagnostic reference standard was M. tuberculosis culture positivity
A comparative study of standard contract conditions for energy performance contracting in Australia, Canada and the United States
No full textAuthor name used in this publication: Lam, P.T.I.Author name used in this publication: Lee, P.2014-2015 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishedPublisher permissio
Stiffness-force feedback in UAV tele-operation
No full textAerospace Design, Integration and OperationsAerospace Engineerin
Eating, Reading, and Writing: An Interview with Andrew Lam
No full textAward-winning author and New American Media editor Andrew Lam discusses his work, contemporary journalism, the complexity of cultural exchange, and what he hopes to see when his work is read in a classroom
Free Will Conceptualization Systematic Review Non Pre-Registered Analysis Datafile and Code
No full textThis page is for the non-pre-registered correlation analysis regarding the number of years ago and the sample size, as suggested by the peer reviewer Prasad Chandrashekar. For other materials of this project led by Alison Lam (first author) and Siu Kit Yeung as co-author (second author), please see https://osf.io/2t67z
Application of next generation sequencing to CEPH cell lines to discover variants associated with FDA approved chemotherapeutics
No full textAfter publication of this work [1], it has come to our attention
that there is an error in the author list of the initial
version of this manuscript; rather than Ernest J Lam,
the second author of the manuscript should be listed as
Ernest T Lam
Nonlinear filtering for state delayed systems with Markovian switching
No full textCopyright [2003] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.This paper deals with the filtering problem for a general class of nonlinear time-delay systems with Markovian jumping parameters. The nonlinear time-delay stochastic systems may switch from one to the others according to the behavior of a Markov chain. The purpose of the problem addressed is to design a nonlinear full-order filter such that the dynamics of the estimation error is guaranteed to be stochastically exponentially stable in the mean square. Both filter analysis and synthesis problems are investigated. Sufficient conditions are established for the existence of the desired exponential filters, which are expressed in terms of the solutions to a set of linear matrix inequalities (LMIs). The explicit expression of the desired filters is also provided. A simulation example is given to illustrate the design procedures and performances of the proposed method
Parameter identification algorithm for ground source heat pump systems
No full textThis paper presents a new parameter identification (PI) algorithm for estimating effective and detailed thermal parameters of ground source heat pump systems using data obtained from the well-known thermal response test. The PI comprises an iterative scheme coupling a semi-analytical forward model to an inverse model. The forward model is formulated based on the spectral element method to simulate transient 3D heat flow in ground source heat pump (GSHP) systems, and the inverse model is formulated based on the interior-point optimization method to minimize the system objective function. Compared to existing interpretation tools for the thermal response test, the proposed PI algorithm has several advanced features, including: it can handle fluctuating heat pump power and inlet temperatures; interpret data obtained from multiple heat injection or extraction signals; produce accurate backcalculation for short and long duration experiments; and handle multilayer systems. The PI algorithm is tested against synthesized data, using a wide range of random noise, and versus an available laboratory experiment. The computational results show that the PI algorithm is accurate, stable and exhibiting relatively high convergence rate.Applied Mechanic
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