Synchronization for the integer-order and fractional-order chaotic maps based on parameter estimation with JAYA-IPSO algorithm
Creators
- 1. Central South University. School of Physics and Electronics (China)
Description
To enrich the processing means of secure communication, a novel synchronization control method is proposed based on parameter estimation technology. Unlike the traditional synchronization method, it does not need the control law and is only implemented by the parameter estimation. To realize the synchronization between two chaotic maps, a hybrid algorithm combining the JAYA algorithm with an improved particle swarm optimization (IPSO) algorithm is proposed for parameter estimation. Because there is no mathematical reasoning process, the novel method's realization is simple, and it can theoretically be utilized for synchronization of various chaotic maps. In addition, the synchronization with unknown master system structure is also studied. Numerical simulations are carried out in two classical chaotic maps and their fractional-order form. Detailed experimental results demonstrate the effectiveness of the novel synchronization control method.
Additional details
Identifiers
Publishing Information
- Journal Title
- European Physical Journal Plus
- Journal Volume
- 135
- Journal Issue
- 3
- Journal Page Range
- vp.
- ISSN
- 2190-5444
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 55064370
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING; S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- ALGORITHMS; CHAOS THEORY; COMMUNICATIONS; COMPUTERIZED SIMULATION; CONTROL; CONTROL THEORY; CRYPTOGRAPHY; DATA-FLOW PROCESSING; DYNAMICAL SYSTEMS; MAPPING; MAPS; NONLINEAR PROGRAMMING; OPTIMIZATION; PARTICLES; SYNCHRONIZATION
- Descriptors DEC
- CALCULATION METHODS; MATHEMATICAL LOGIC; MATHEMATICS; PROGRAMMING; SIMULATION
Optional Information
- Copyright
- Copyright (c) 2020 © Societ#Latin Small Letter A With Grave# Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2020