2017
DOI: 10.1109/tac.2016.2578300
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Finite-Time Stabilization via Sliding Mode Control

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Cited by 219 publications
(98 citation statements)
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“…. Therefore, | x(t) | decreases and reaches the value | x(t) |= for a time T 1 ≤ 1 2 (p−1) p−1 , which corresponds to the first term in (4). Note that this term expression is independent of an unknown initial condition x 0 .…”
Section: Discussionmentioning
confidence: 94%
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“…. Therefore, | x(t) | decreases and reaches the value | x(t) |= for a time T 1 ≤ 1 2 (p−1) p−1 , which corresponds to the first term in (4). Note that this term expression is independent of an unknown initial condition x 0 .…”
Section: Discussionmentioning
confidence: 94%
“…Step A ends with | x(T 1 ) |= > 0. If | x 0 |≤ , Step A is not executed; therefore, the term 1 2 (p−1) p−1 would be absent in (4). B.…”
Section: Discussionmentioning
confidence: 99%
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“…Sliding mode control (SMC) is particularly well suited for situations where unknown non‐linearities affect the system, as in the case of USMs. In recent years, numerous results have been reported on the SMC for various complex dynamical systems (see, e.g., ). For underwater vehicles, in general, some important contributions are given in .…”
Section: Introductionmentioning
confidence: 99%
“…For instance, in the work of Li and Cao, the finite‐time stochastically stability problem was investigated for Markovian jump memristive neural networks. In the work of Song et al, the sliding‐mode control design problem based on FTB had been studied for nonlinear systems. Zhao et al had proposed finite‐time H ∞ control for a class of Markovian jump delayed systems.…”
Section: Introductionmentioning
confidence: 99%