A comparison principle and stability for large-scale impulsive delay differential systems
From MaRDI portal
Publication:3365658
DOI10.1017/S1446181100009998zbMath1095.34049MaRDI QIDQ3365658
Y. Zhang, Xinzhi Liu, Xuemin (Sherman) Shen
Publication date: 23 January 2006
Published in: The ANZIAM Journal (Search for Journal in Brave)
Functional-differential equations with impulses (34K45) Stability theory of functional-differential equations (34K20) Neutral functional-differential equations (34K40)
Related Items
Numerical simulations for the space-time variable order nonlinear fractional wave equation ⋮ The existence and exponential stability for random impulsive integrodifferential equations of neutral type ⋮ Exponential stability of nonlinear impulsive neutral differential equations with delays ⋮ Finite difference schemes for time-space fractional diffusion equations in one- and two-dimensions ⋮ Uniform stability of impulsive infinite delay differential equations with applications to systems with integral impulsive conditions ⋮ Exponential stability of nonlinear impulsive neutral integro-differential equations ⋮ Threshold dynamics of a West Nile virus model with impulsive culling and incubation period ⋮ Input-to-state stability for large-scale stochastic impulsive systems with state delay
Cites Work
- Unnamed Item
- Differential systems involving impulses
- Stability criteria for impulsive differential equations in terms of two measures
- Delay differential systems with discontinuous initial data and existence and uniqueness theorems for systems with impulse and delay
- On the double pendulum: An example of double resonant situations
- Exponential stability of linear delay impulsive differential equations
- Asymptotic behavior of solutions of impulsive neutral differential equations
- Impulsive stabilization of functional differential equations via Lyapunov functionals
- Razumikhin type stability theorems for impulsive functional differential equations
- Stability results for impulsive differential systems with applications to population growth models
