Replication of Chaos in Neural Networks, Economics and Physics
This book presents detailed descriptions of chaos for continuous-time systems. It is the first-ever book to consider chaos as an input for differential and hybrid equations. Chaotic sets and chaotic functions are used as inputs for systems with attractors: equilibrium points, cycles and tori. The fi...
| Main Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2016, 2016
|
| Edition: | 1st ed. 2016 |
| Series: | Nonlinear Physical Science
|
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Introduction
- Replication of Continuous Chaos about Equilibria
- Chaos Extension in Hyperbolic Systems
- Entrainment by Chaos
- Chaotification of Impulsive Systems by Perturbations
- Chaos Generation in Continuous/Discrete-Time Models
- Economic Models with Deterministic Chaos as Generated by Exogenous Continuous/Discrete Shocks
- Replication of Chaos by Neural Networks
- ntrainment by Spatiotemporal Chaos in Glow Discharge-Semiconductor Systems