Estimation of Sampling Period for Stochastic Nonlinear Sampled-Data Systems With Emulated Controllers
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论文类型：期刊论文
发表时间：2017-09-01
发表刊物：IEEE TRANSACTIONS ON AUTOMATIC CONTROL
收录刊物：EI、SCIE、Scopus
卷号：62
期号：9
页面范围：4713-4718
ISSN号：0018-9286
关键字：Emulation; sampled-data; stability; stochastic nonlinear systems
摘要：This note focuses on determining the value of the maximum allowable sampling period (MASP) that guarantees the stability of stochastic nonlinear sampled-data systems with emulated controllers. Two methods are proposed to compute MASP, one based on sufficient Lyapunov-like conditions on stabilization of stochastic nonlinear systems in mean square and the other from applying Barbalat's Lemma. Comparison studies are made and illustrated for the two methods by a numerical example.