Robust sampled-data H∞ control with stochastic sampling

Robust sampled-data H∞ control with stochastic sampling
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具有随机采样的鲁棒采样数据 H 控制

DOI:
10.1016/j.automatica.2009.03.004
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发表时间:
2009-07
期刊:
影响因子:
6.4
通讯作者:
Peng Shi
Peng Shi
中科院分区:
计算机科学2区
文献类型:
--
作者:
Huijun Gao;Junli Wu;Peng Shi

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研究了具有概率采样的采样系统的鲁棒H∞控制问题。参数的不确定性是时变范数有界的,并出现在状态和输入矩阵。为了技术发展的简单性,只考虑了两个不同的采样周期,其发生概率为给定常数且满足Bernoulli分布,并可进一步推广到多个随机采样周期的情况。应用输入延迟方法,将概率采样系统转化为系统矩阵中含有随机参数的连续时滞系统。利用线性矩阵不等式(LMI)方法,得到了系统具有H∞性能的鲁棒均方指数稳定性的充分条件。此外,H∞控制器的设计过程,然后提出。一个说明性的例子来证明所提出的技术的有效性。
In this paper, the problem of robust H∞control is investigated for sampled-data systems with probabilistic sampling. The parameter uncertainties are time-varying norm-bounded and appear in both the state and input matrices. For the simplicity of technical development, only two different sampling periods are considered whose occurrence probabilities are given constants and satisfy Bernoulli distribution, which can be further extended to the case with multiple stochastic sampling periods. By applying an input-delay approach, the probabilistic sampling system is transformed into a continuous time-delay system with stochastic parameters in the system matrices. By linear matrix inequality (LMI) approach, sufficient conditions are obtained, which guarantee the robust mean-square exponential stability of the system with an H∞performance. Moreover, an H∞controller design procedure is then proposed. An illustrative example is included to demonstrate the effectiveness of the proposed techniques.
DOI: 10.1109/cdc.1996.572756
发表时间: 1995-08
期刊: Proceedings of 35th IEEE Conference on Decision and Control
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