6 resultados para PP1

em Deakin Research Online - Australia


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The main objective of a steel strip rolling process is to produce high quality steel at a desired thickness.  Thickness reduction is the result of the speed difference between the incoming and the outgoing steel strip and the application of the large normal forces via the backup and the work rolls.  Gauge control of a cold rolled steel strip is achieved using the gaugemeter principle that works adequately for the input gauge changes and the strip hardness changes.  However, the compensation of some factors is problematic, for example, eccentricity of the backup rolls.  This cyclic eccentricity effect causes a gauge deviation, but more importantly, a signal is passed to the gap position control so to increase the eccentricity deviation.  Consequently, the required high product tolerances are severely limited by the presence of the roll eccentricity effects.
In this paper a direct model reference adaptive control (MRAC) scheme with dynamically constructed neural controller was used.  The aim here is to find the simplest controller structure capable of achieving an optimal performance.  The stability of the adaptive neural control scheme (i.e. the requirement of persistency of excitation and bounded learning rates) is addressed by using as the inputs to the reference model the plant's state variables.  In such a case, excitation is due to actual plant signals (states) affected by plant disturbances and noise.  In addition, a reference model in the form of a filter with a desired transfer function using Modulus Optimum design was used to ensure variance in the desired dynamic characteristics of the system.  The gradually decreasing learning rate employed by the neural controller in this paper is aimed at eliminating controller instability resulting from over-aggressive control.  The moving target problem (i.e. the difficulty of global neural networks to perfrom several separate computational tasks in closed -loop control) is addressed by the localized architecture of the controller.  The above control scheme and learning algorithm offers a method for automatic discovery of an efficient controller.
The resulting neural controller produces an excellent disturbance rejection in both cases of eccentricity and hardness disturbances, reducing the gauge deviation due to eccentricity disturbance from 33.36% to 4.57% on average, and the gauge deviation due to hardness disturbance from 12.59% to 2.08%.

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1. List of Illustrations -- 2. Notes on Text -- 3. Introduction -- 4. ONE Letters from Rockmini -- 5. TWO Letters from Kardinah -- 6. THREE Letters from Kardinah --7. FOUR Letters from Soematri -- 8. Appendix Documents Relating to the Establishment of the Wismo Pranowo School

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David Cadman’s Property Development has long been the standard textbook on the commercial property development process in the UK, and with this fifth edition the book is brought completely up to date for a new generation of readers. Accessible to students of all disciplines within the built environment, the book is geared directly towards students of property development at undergraduate or graduate levels. It provides a clear and practical overview of the property development process, together with critical analysis of the key issues faced by property professionals today.

The fifth edition retains the established structure of previous editions, by focusing on land acquisition, development appraisal, finance, planning, construction, market research and promotion. Additionally, reflecting changes in practice, there is also new material on the environmental impacts of property development, with a chapter on Sustainable Property Development, and on the growth of international working in the property sector. Excellent case studies, which are enhanced by discussion questions, illustrate the process at work. This fully revised and updated edition of a classic text for all property development students will also be of interest to early career professionals and those pursuing a professional degree in the industry.

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Ch. 1. Introduction : the power of imagination -- Ch. 2. Definitions : what is imagery? -- Ch. 3. Theories : how does imagery work? -- Ch. 4. Imagery-ability and imagery-use assessment -- Ch. 5. Imagery research -- Ch. 6. Imagery perspectives -- Ch. 7. Psychophysiological research on imagery -- Ch. 8. Strategies for applying imagery -- Ch. 9. Uses for imagery -- Ch. 10. Technical aids to imagery -- Ch. 11. Injury rehabilitation and imagery -- Ch. 12. Exercise and imagery -- Ch. 13. Future directions in research and practice

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A comprehensive introduction to the most widely used approach to social work theory and practice. It offers a systematic overview of core theories and practice issues in challenging domination and oppression.