A General Integral Quadratic Constraints Theorem with Applications to a Class of Sampled-Data Systems

A General Integral Quadratic Constraints Theorem with Applications to a Class of Sampled-Data Systems
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一般积分二次约束定理及其在一类采样数据系统中的应用

DOI:
10.1137/140985482
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发表时间:
2016
期刊:
SIAM J. Control. Optim.
影响因子:
--
通讯作者:
C. W. Scherer
C. W. Scherer
中科院分区:
--
文献类型:
--
作者:
Fetzer;C. W. Scherer

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在积分二次约束的框架下,通过放松对不确定性的假设,得到了更一般的稳定性定理。与已有的结果相比,输入输出关系只需要在全信号空间的一个子空间上保持。这一结果被用来将不确定性表现出抽样行为的积分二次约束的框架。由此产生的无穷维稳定性检验正好化为一个有限维线性矩阵不等式。这种方法的优点示出了包括脉冲宽度调制器的互连的具体情况。
In the framework of integral quadratic constraints a more general stability theorem is derived by relaxing the assumptions on the uncertainty. In contrast to existing results, input-output relations are only required to hold on a subspace of the full signal space. This result is employed to incorporate uncertainties exhibiting sampling behavior into the framework of integral quadratic constraints. The arising infinite dimensional stability test is exactly reduced to a finite dimensional linear matrix inequality. Advantages of this approach are illustrated for the specific case of an interconnection including a pulse-width modulator.
DOI: 10.1007/bf00969815
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影响因子: 0.5
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