کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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409632 | 679080 | 2015 | 5 صفحه PDF | دانلود رایگان |
In this work, the finite-time control problem for sampled-data systems is investigated. The time-varying sampling is not required to be periodic, and the only assumption is that the distance between any two consecutive sampling instants does not exceed a given bound. First, the continuous-time systems with digital control are modeled as continuous-time systems with delayed control input. Then, a novel Lyapunov functional is used to solve the finite-time control problem. At last, sufficient conditions for the existence of state feedback finite-time controller are obtained by solving a set of linear matrix inequalities (LMIs). Different from many existing finite-time control designs of linear systems, this work extends the partial results to the sampled-data systems. The effectiveness of the proposed results is eventually illustrated by a numerical example.
Journal: Neurocomputing - Volume 151, Part 3, 3 March 2015, Pages 1327–1331