Nonlinear adaptive synchronization rule for identification of a large amount of parameters in dynamical models

DOI10.1016/j.physleta.2009.10.035zbMath1235.34157OpenAlexW2069719783MaRDI QIDQ763799

Wei Lin, Huan-Fei Ma

Publication date: 2 April 2012

Published in: Physics Letters. A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physleta.2009.10.035

zbMATH Keywords

noisechaosparameter identificationLotka-Volterra modeladaptive synchronization

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Nonlinear ordinary differential equations and systems (34A34) White noise theory (60H40) Complex behavior and chaotic systems of ordinary differential equations (34C28) Synchronization of solutions to ordinary differential equations (34D06) Chaos control for problems involving ordinary differential equations (34H10)

Related Items

Parameters Identification by a Piecewise Adaptive Rule with a Fractional Power ⋮ Stochastically Adaptive Control and Synchronization: From Globally One-Sided Lipschitzian to Only Locally Lipschitzian Systems ⋮ Adaptive synchronization design for uncertain chaotic systems in the presence of unknown system parameters: a revisit ⋮ Detecting unstable periodic orbits based only on time series: When adaptive delayed feedback control meets reservoir computing

Uses Software

• Neurofitter

Cites Work

• Unnamed Item
• Adaptive chaos control and synchronization in only locally Lipschitz systems
• On a recursive method for the estimation of unknown parameters of partially observed chaotic systems
• Adaptive-feedback control algorithm
• Chaos in low-dimensional Lotka–Volterra models of competition
• Adaptive Q-S (lag, anticipated, and complete) time-varying synchronization and parameters identification of uncertain delayed neural networks
• The double scroll family