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Skewed structured singular value-based approach for the construction of design spaces: theory and applications

机译:基于偏斜结构奇异值的设计空间构建方法:理论与应用

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摘要

This study proposes a computationally efficient algorithm that characterises the set of allowable real parametric uncertainties while ensuring the desired output specifications are satisfied for rational systems. Along with the scaled main loop theorem, the proposed approach reformulates this NP-hard problem by using the skewed structured singular value v, whose upper and lower bounds can be efficiently computed by existing algorithms and software. A short discussion on the extension to a multi-agent system is also included. Two numerical examples of pharmaceutical crystallisation and nasal spray demonstrate the effectiveness of the proposed algorithm.
机译:这项研究提出了一种计算有效的算法,该算法可描述一组允许的实际参数不确定性,同时确保为理性系统满足所需的输出规格。连同缩放的主循环定理,所提出的方法通过使用偏斜的结构奇异值 v 来重新构造该NP-hard问题,可以通过现有算法和软件有效地计算其上界和下界。还包括对多代理系统扩展的简短讨论。药物结晶和鼻喷雾的两个数值实例证明了该算法的有效性。

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