Tracking control and synchronization of chaotic systems based upon sampled-data feedback

2002 ◽  
Vol 11 (3) ◽  
pp. 233-237 ◽  
Author(s):  
Chen Shi-Hua ◽  
Liu Jie ◽  
Xie Jin ◽  
Lu Jun-An
1998 ◽  
Vol 08 (12) ◽  
pp. 2433-2438 ◽  
Author(s):  
Tao Yang

In this paper we present a theory for control of chaotic systems using sampled data. The output of the chaotic system is sampled at a given sampling rate and the sampled output is used by a feedback subsystem to construct a control signal, which is held constant by a holding subsystem. Hence, during each control iteration, the control input remains unchanged. Theoretical results on the asymptotic stability of the resulting controlled chaotic systems are presented. Numerical experimental results via Chua's circuit are used to verify the theoretical results.


2010 ◽  
Vol 37-38 ◽  
pp. 823-828
Author(s):  
Shu Bo Liu ◽  
Shu Min Zhou ◽  
Li Yong Hu

This paper applies differential evolution (DE) algorithm to realize the output tracking control and synchronization of continuous chaotic systems. The output tracking control of single-input single-output (SISO) and multi-input multi-output (MIMO) chaotic system is investigated. Moreover, synchronization of chaotic systems with parameter mismatch or structure difference is also under discussion. Numerical simulations based on the well-known models such as Lorenz and Chen systems are used to illustrate the validity of this theoretical method.


IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 44402-44410
Author(s):  
Yunjun Chen ◽  
Qiuxia Cao ◽  
Zhenyu Zhu ◽  
Zhangang Wang ◽  
Zhanshan Zhao

Sign in / Sign up

Export Citation Format

Share Document