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Titlebook: Emerging Trends in Computing, Informatics, Systems Sciences, and Engineering; Tarek Sobh,Khaled Elleithy Conference proceedings 2013 Sprin

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發(fā)表于 2025-3-28 16:56:25 | 只看該作者
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發(fā)表于 2025-3-28 20:10:40 | 只看該作者
L. Steinmüller,M. Liedke,M. Liehnr structure. Multi-objective optimization with a posteriori decision-making based on Pareto efficiency, level diagrams, hyper volumes and other performance indices is used to compare quantitatively the two controller structures when applied to a highly interactive multivariable system based on this plant.
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發(fā)表于 2025-3-29 02:10:13 | 只看該作者
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發(fā)表于 2025-3-29 03:58:33 | 只看該作者
Conference proceedings 2013 and detailing state-of-the-art research projects in the areas of ?Industrial Electronics, Technology & Automation, Telecommunications and Networking, Systems, Computing Sciences and Software Engineering, Engineering Education, Instructional Technology, Assessment, and E-learning. .This book include
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發(fā)表于 2025-3-29 09:48:48 | 只看該作者
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發(fā)表于 2025-3-29 13:19:26 | 只看該作者
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發(fā)表于 2025-3-29 16:57:52 | 只看該作者
Design Considerations for Generalized Predictive Controllers and Systems with Fractional Dead Time, unit circle or near the ringing pole. GPC, under certain circumstances, would place closed-loop poles in positions that result in undesirable ringing or instability in the closed-loop system. An analysis into the effect of the GPC control variables, plant gain and fractional dead time on the closed-loop poles positions is presented.
48#
發(fā)表于 2025-3-29 22:03:29 | 只看該作者
https://doi.org/10.1007/978-3-662-61101-2 Pareto sets for both controllers is generated using Pareto Differential Evolution (PDE) and then compared using n-dimensional visualization tool, . to evaluate which controller is best for the process. Solutions which provide a preferred performance are then selected and tested experimentally on a thermal process.
49#
發(fā)表于 2025-3-30 01:51:07 | 只看該作者
50#
發(fā)表于 2025-3-30 05:56:14 | 只看該作者
Multi-objective Performance Evaluation of Controllers for a Thermal Process, Pareto sets for both controllers is generated using Pareto Differential Evolution (PDE) and then compared using n-dimensional visualization tool, . to evaluate which controller is best for the process. Solutions which provide a preferred performance are then selected and tested experimentally on a thermal process.
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