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Stable Model Matching by Non-Regular Static State Feedback

机译:非常规静态反馈的稳定模型匹配

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摘要

A solution of the longstanding problem of model matching by non-regular static state feedback is presented. The problem formulation avoids restrictive hypotheses concerning system and target model. Necessary and sufficient conditions for the problem to have a solution are obtained which yield a construction of a matching feedback law. Several cases of special interest are subsequently discussed. Finally, the existence of stable solutions is established and a construction of static stable solutions is addressed.
机译:提出了一个长期的非规则静态反馈模型匹配问题的解决方案。问题表述避免了关于系统和目标模型的限制性假设。获得了解决该问题的必要和充分条件,从而产生了匹配的反馈定律。随后讨论了几种特殊情况。最后,建立了稳定解的存在性,并讨论了静态稳定解的构造。

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