960 resultados para output-feedback stabilisation


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Melt viscosity is a key indicator of product quality in polymer extrusion processes. However, real time monitoring and control of viscosity is difficult to achieve. In this article, a novel “soft sensor” approach based on dynamic gray-box modeling is proposed. The soft sensor involves a nonlinear finite impulse response model with adaptable linear parameters for real-time prediction of the melt viscosity based on the process inputs; the model output is then used as an input of a model with a simple-fixed structure to predict the barrel pressure which can be measured online. Finally, the predicted pressure is compared to the measured value and the corresponding error is used as a feedback signal to correct the viscosity estimate. This novel feedback structure enables the online adaptability of the viscosity model in response to modeling errors and disturbances, hence producing a reliable viscosity estimate. The experimental results on different material/die/extruder confirm the effectiveness of the proposed “soft sensor” method based on dynamic gray-box modeling for real-time monitoring and control of polymer extrusion processes. POLYM. ENG. SCI., 2012. © 2012 Society of Plastics Engineers

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This output is a collection of compositions which explore issues of ensemble improvisation, ensemble management and orchestration, real-time and distributed scoring, multi-nodal inputs and outputs, and animated and graphic notation. Compositions include: Activities I; tutti, duet, trio, solo, quartet; Lewitt Notations I; Webwork I; and Sometimes I feel the space between people (voices) in terms of tempos. These compositions are presented in computer animated scores which are synchronized through the network and subject to real-time modification and control. They can be performed by ensembles distributed over large physical spaces connected by the network. The scores for these compositions include software which displays the animations to the performers, software to structure and disseminate score events, and triggering software that allows the control of a performance to be distributed. Scores can also include live electronics which are coordinated with graphic events.

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Objective: To investigate students' views on and satisfaction with faculty feedback on their academic performance.

Methods: A 41-item survey instrument was developed based on a literature review relating to effective feedback. All pharmacy undergraduate students were invited via e-mail to complete the self-administered electronic questionnaire relating to their views on feedback, including faculty feedback received to date regarding their academic performance.

Results: A response rate of 61% (343/561) was obtained. Only 32.3% of students (107/331) agreed that they were satisfied with the feedback they received; dissatisfaction with examination feedback was particularly high. The provision of faculty feedback was perceived to be variable in terms of quality and quantity.

Conclusions: There are some inconsistencies relating to provision of feedback within the MPharm degree program at Queen's University Belfast. Further work is needed to close the gap between student expectations and the faculty's delivery of feedback on academic performance.

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This brief investigates a possible application of the inverse Preisach model in combination with the feedforward and feedback control strategies to control shape memory alloy actuators. In the feedforward control design, a fuzzy-based inverse Preisach model is used to compensate for the hysteresis nonlinearity effect. An extrema input history and a fuzzy inference is utilized to replace the inverse classical Preisach model. This work allows for a reduction in the number of experimental parameters and computation time for the inversion of the classical Preisach model. A proportional-integral-derivative (PID) controller is used as a feedback controller to regulate the error between the desired output and the system output. To demonstrate the effectiveness of the proposed controller, real-time control experiment results are presented.

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Adaptive Multiple-Input Multiple-Output (MIMO) systems achieve a much higher information rate than conventional fixed schemes due to their ability to adapt their configurations according to the wireless communications environment. However, current adaptive MIMO detection schemes exhibit either low performance (and hence low spectral efficiency) or huge computational
complexity. In particular, whilst deterministic Sphere Decoder (SD) detection schemes are well established for static MIMO systems, exhibiting deterministic parallel structure, low computational complexity and quasi-ML detection performance, there are no corresponding adaptive schemes. This paper solves
this problem, describing a hybrid tree based adaptive modulation detection scheme. Fixed Complexity Sphere Decoding (FSD) and Real-Values FSD (RFSD) are modified and combined into a hybrid scheme exploited at low and medium SNR to provide the highest possible information rate with quasi-ML Bit Error
Rate (BER) performance, while Reduced Complexity RFSD, BChase and Decision Feedback (DFE) schemes are exploited in the high SNR regions. This algorithm provides the facility to balance the detection complexity with BER performance with compatible information rate in dynamic, adaptive MIMO communications
environments.

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Using a unique set of data and exploiting a large-scale natural experiment, we estimate the effect of real-time usage information on residential electricity consumption in Northern Ireland. Starting in April 2002, the utility replaced prepayment meters with advanced meters that allow the consumer to track usage in real-time. We rely on this event, account for the endogeneity of price and payment plan with consumption through a plan selection correction term, and find that the provision of information is associated with a decline in electricity consumption of 11-17%. We find that the reduction is robust to different specifications, selection-bias correction methods and subsamples of the original data. The advanced metering program delivers reasonably cost-effective reductions in carbon dioxide emissions, even under the most conservative usage reduction scenarios.

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Most tutors in architecture education regard studio-based learning to be rich in feedback due to is dialogic nature. Yet, student perceptions communicated via audits such as the UK National Student Survey appear to contradict this assumption and challenge the efficacy of design studio as a truly discursive learning setting. This paper presents findings from a collaborative study that was undertaken by the Robert Gordon University, Aberdeen, and Queen’s University Belfast that develop a deeper understanding of the role that peer interaction and dialogue plays within feedback processes, and the value that students attribute to these within the overall learning experience.

The paper adopts a broad definition of feedback, with emphasis on formative processes, and including the various kinds of dialogue that typify studio-based learning, and which constitute forms of guidance, direction, and reflection. The study adopted an ethnographic approach, gathering data on student and staff perceptions over the course of an academic year, and utilising methods embracing both quantitative and qualitative data.

The study found that the informal, socially-based peer interaction that characterises the studio is complementary to, and quite distinct from, the learning derived through tutor interaction. The findings also articulate the respective properties of informal and formally derived feedback and the contribution each makes to the quality of studio-based learning. It also identifies limitations in the use or value of peer learning, understanding of which is valuable to enhancing studio learning in architecture.

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This report presents the results of a collaborative project between Queens University, Belfast and the Robert Gordon University, Aberdeen, and builds on a dialogue initiated during Session 2009-10 through which course guidance and feedback received by students was identified as an area requiring deeper understanding in order to enhance current practice

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The outcomes of school-based counseling incorporating the Partners for Change Outcome Monitoring System (PCOMS) were evaluated using a cohort design, with multilevel modeling to identify predictors of change. Participants were 288 7-11 year olds experiencing social, emotional or behavioral difficulties. The intervention was associated with significant reductions in psychological distress, with a pre-post effect size (d) of 1.49 on the primary outcome measure and 88.7% clinical improvement. Greater improvements were found for disabled children, older children, and where CBT methods were used. The findings provide support for the use of systematic feedback in therapy with children.