Opening book details…
Can I read Finite-time Stability of State-dependent Delayed Systems and Application to Coupled Neural Networks on EtoBox?
Finite-time Stability of State-dependent Delayed Systems and Application to Coupled Neural Networks by Xinyi He; Xiaodi Li; Shiji Song is a Computer Science article available to read on EtoBox.
What is Finite-time Stability of State-dependent Delayed Systems and Application to Coupled Neural Networks about?
Finite-time stability and stabilization problems of state-dependent delayed systems are studied in this paper. Different from discrete delays and time-dependent delays which can be well estimated over time, the information of state-dependent delays is usually hard to be estimated, especially when states are unknown or unmeasurable. To guarantee the stability of state-dependent delayed systems in the framework of finite time, a Razumikhin-type inequality is used, following which estimations on the settling time and the region of attraction are proposed. Moreover, the relationship between the variation speed of state-dependent delays and the size of the region of attraction is proposed. Then as an application of the theoretical result, finite-time stabilization is studied for a set of nonlinear coupled neural networks involving state-dependent transmission delay, where the design of memoryless finite-time controllers is addressed. Two numerical examples are given to show the effectiveness of the proposed results.
Who reads Finite-time Stability of State-dependent Delayed Systems and Application to Coupled Neural Networks?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Xinyi He; Xiaodi Li; Shiji Song
- Publisher
- Elsevier BV
- Published
- 2022
- Language
- EN
- Field
- Computer Science (Physical Sciences)