ALMOST SURE AND pTH-MOMENT STABILITY AND STABILIZATION OF REGIME-SWITCHING JUMP DIFFUSION SYSTEMS

被引:66
作者
Zong, Xiaofeng [1 ]
Wu, Fuke [1 ]
Yin, George [2 ]
Jin, Zhuo [3 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Math & Stat, Wuhan 430074, Hubei, Peoples R China
[2] Wayne State Univ, Dept Math, Detroit, MI 48202 USA
[3] Univ Melbourne, Ctr Actuarial Studies, Dept Econ, Melbourne, Vic 3010, Australia
基金
美国国家科学基金会;
关键词
stability; stabilization; Brownian motion; Poisson process; Markov chain; MARKOV PROCESS EXPECTATIONS; STOCHASTIC STABILIZATION; DIFFERENTIAL-EQUATIONS; ASYMPTOTIC EVALUATION; LARGE TIME; LEVY NOISE; LYAPUNOV EXPONENTS; LINEAR-SYSTEMS; DESTABILIZATION;
D O I
10.1137/14095251X
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This work focuses on regime-switching jump diffusions, which include three classes of random processes, Brownian motions, Poisson processes, and Markov chains. First, a scalar linear system is treated as a benchmark model. Then stabilization of systems with one-sided linear growth is considered. Next, nonlinear systems that have a finite explosion time are treated, in which regularization (explosion suppression) and stabilization are achieved by introducing appropriate diffusions together with Poisson and Markov chain perturbations. This work reveals the impact of various random effects on the underlying systems for almost sure and pth-moment stability and provides insight on stability and stabilization of switching jump diffusion systems.
引用
收藏
页码:2595 / 2622
页数:28
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