State-dependent Riccati equation synchronization method of unified chaotic system
Author(s) -
Liang Shan,
Liang Yan,
Jun Li,
Wang Zhi-quan
Publication year - 2007
Publication title -
acta physica sinica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.56.4366
Subject(s) - riccati equation , synchronization (alternating current) , state (computer science) , control theory (sociology) , computer science , chaotic , algebraic riccati equation , stability (learning theory) , chaotic systems , synchronization of chaos , mathematics , state dependent , differential equation , algorithm , control (management) , mathematical analysis , mathematical economics , artificial intelligence , machine learning , computer network , channel (broadcasting)
Using improved state-dependent Riccati equation methodthe state synchronization of unified chaotic systems is achieved. The state adjustors with given stability improve the dynamic performance of system synchronization. Theoretical deduction and simulation researches show that the error systems are asymptoticly stable. The comparative simulations with the traditional state-dependent Riccati equation method verify the improvement in dynamic performance of system synchronization.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom