Finite-time stability and instability of stochastic nonlinear systems

By Juliang Yin, S. Khoo, Zhihong Man, Xinghuo Yu. at - Automatisierungstechnik, 2011

527 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/dd2ddc291b0f02e6806ed54f2c035584a19ff9e4

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In Control and Systems Engineering

1. Zhihong Man
2. Xinghuo Yu
3. Juliang Yin
4. S. Khoo
5. Kemei Zhang
6. Xue‐Jun Xie
7. Xinghui Zhang
8. Zongyu Zuo

In Statistical and Nonlinear Physics

1. Xinghuo Yu

Citations in the corpus

• Finite‐time output feedback stabilization of nonlinear high‐order feedforward systems (2016, background): “In addition, [36] and [37] establish stochastic finite-time stability theorem, but a linear growth condition must be satisfied.”
• Finite-time stabilization of stochastic nonlinear systems in strict-feedback form (2013, methodology): “Motivated by the above mentioned asymptotic stability theorem for stochastic differential equations in Deng et al. (2001), Has’minskii (1980) andMao (2008), the finite-time stability and instability theoremswere proposed and analysed in Yin et al. (2011).”