Convergence of control performance by unfalsification of models-levels of confidence

S. M. Veres

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Convergence of control performance by unfalsification of models-levels of confidence

机译：通过不伪造模型级别的置信度来实现控制性能的收敛

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A general framework is introduced for iterative/adaptive controller design schemes by model unfalsification. An important feature of the schemes is their convergence near to the best possible controller given a set of Model and controller structures. The problem of stability assured controller tuning is examined through Unfalsified Riemannian bands of the Nyquist plot. Instability tolerant H_∞ and -norm-based controller Tuning schemes are introduced. Computational problems are discussed and a simulation is used to illustrate The new scheme. Copyright.

机译：通过模型伪造为迭代/自适应控制器设计方案介绍了一个通用框架。这些方案的一个重要特征是，在给定一组模型和控制器结构的情况下，它们的收敛接近最佳控制器。通过奈奎斯特图的未伪造的黎曼带检查了确保稳定性的控制器调整问题。介绍了基于不稳定性的H_∞和基于-norm的控制器调整方案。讨论了计算问题，并通过仿真说明了该新方案。版权。

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来源
《International Journal of Adaptive Control and Signal Processing》 |2001年第5期|p.471-502|共32页
作者
S. M. Veres;
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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
原文格式 PDF
正文语种 eng
中图分类电工技术;
关键词
adaptive control; modelling; robust control;

机译：自适应控制造型;鲁棒控制;

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Convergence of control performance by unfalsification of models-levels of confidence

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