International Journal of Control ( IF 2.1 ) Pub Date : 2020-05-18 , DOI: 10.1080/00207179.2020.1765022 Yong Ren 1, 2 , Lu Wang 2 , R. Sakthivel 3
ABSTRACT
For the potential applications in uncertainty problems, risk measures and superhedging problems in finance, the theory of nonlinear expectation attracts researchers’ great interest. Base on G-expectation, in this work, we discuss the stabilisation issue for a class of stochastic multi-group models driven by G-Brownian motion (G-MGMs, in short) via delay feedback control design. By employing the concept of graph theory and G-Lyapunov approach, we establish both Lyapunov criteria and coefficient-type criteria for guaranteeing the stabilisation of the addressed model. Further, a class of stochastic coupled oscillators driven by G-Brownian motion is discussed. Finally, an example is offered to verify the validity of the obtained theoretical results.
中文翻译:
通过延迟反馈控制由 G-布朗运动驱动的随机多组模型的稳定性
摘要
对于金融中的不确定性问题、风险测度和超级对冲问题的潜在应用,非线性期望理论引起了研究人员的极大兴趣。基于G-期望,在这项工作中,我们通过延迟反馈控制设计讨论了一类由G-布朗运动(简称G- MGMs)驱动的随机多组模型的稳定性问题。通过运用图论的概念和G -Lyapunov方法,我们建立了Lyapunov准则和系数类型准则,以保证所寻址模型的稳定性。此外,一类由G驱动的随机耦合振荡器- 讨论布朗运动。最后,通过实例验证了所得理论结果的有效性。