Exponential synchronization of uncertain networks with the switching topology based on sliding mode technology

2019 ◽  
Vol 521 ◽  
pp. 121-130 ◽  
Author(s):  
Ling Lü ◽  
Yuqing Xu ◽  
Liansong Chen ◽  
Chengren Li
Keyword(s):  
Sliding Mode ◽  
Exponential Synchronization ◽  
Switching Topology ◽  
Uncertain Networks

scholarly journals Mean-Square Exponential Synchronization of Stochastic Complex Dynamical Networks with Switching Topology by Impulsive Control

2013 ◽  
Vol 2013 ◽  
pp. 1-8
Author(s):  
Xuefei Wu ◽  
Chen Xu
Keyword(s):  
Impulsive Control ◽  
Sufficient Conditions ◽  
Exponential Synchronization ◽  
Complex Dynamical Networks ◽  
Switching Topology ◽  
Linear Matrix ◽  
Mean Square ◽  
Dynamical Networks ◽  
The Mean ◽  
Networks With Switching Topology

This paper investigates the mean-square exponential synchronization issues of delayed stochastic complex dynamical networks with switching topology and impulsive control. By using the Lyapunov functional method, impulsive control theory, and linear matrix inequality (LMI) approaches, some sufficient conditions are derived to guarantee the mean-square exponential synchronization of delay complex dynamical network with switch topology, which are independent of the network size and switch topology. Numerical simulations are given to illustrate the effectiveness of the obtained results in the end.

Exponential synchronization of memristive neural networks with time-varying delays via quantized sliding-mode control

2020 ◽  
Vol 126 ◽  
pp. 163-169
Author(s):  
Bo Sun ◽  
Shengbo Wang ◽  
Yuting Cao ◽  
Zhenyuan Guo ◽  
Tingwen Huang ◽  
...  
Keyword(s):  
Neural Networks ◽  
Sliding Mode Control ◽  
Sliding Mode ◽  
Exponential Synchronization ◽  
Time Varying ◽  
Memristive Neural Networks ◽  
Mode Control

Finite time synchronization diffusion of uncertain networks with the switching topology

2021 ◽  
pp. 2150165
Author(s):  
Chengye Zou ◽  
Xingyuan Wang ◽  
Haifeng Li
Keyword(s):  
Boundary Conditions ◽  
Numerical Simulations ◽  
Finite Time ◽  
Chaotic Systems ◽  
Time Synchronization ◽  
Diffusion Time ◽  
Switching Topology ◽  
Parameter Uncertainties ◽  
Uncertain Networks ◽  
The Impact

The finite time synchronization diffusion of uncertain networks with the switching topology is investigated in this paper. Spatiotemporal chaotic systems as nodes to construct the network, and the topology of network can jump from one construction to another to meet the actual demand. It is not like ordinary synchronization of network, our method can realize synchronization diffusion originated from boundary conditions, and the diffusion step can be determined by Taylor expand. The parameters are identified through proposed scheme against parameter uncertainties of system in practice. Numerical simulations are utilized to demonstrate the correctness and effectiveness of the finite time synchronization diffusion criteria. In the section of analysis and discussion, we have analyzed the impact of synchronization diffusion step and controller on the synchronization diffusion time.

Combined Sliding Mode Control with a Feedback Linearization for Speed Control of Induction Motor

2011 ◽  
Vol 7 (1) ◽  
pp. 19-24
Author(s):  
Aamir Hashim Obeid Ahmed ◽  
Martino O. Ajangnay ◽  
Shamboul A. Mohamed ◽  
Matthew W. Dunnigan
Keyword(s):  
Sliding Mode Control ◽  
Induction Motor ◽  
Feedback Linearization ◽  
Sliding Mode ◽  
Speed Control ◽  
Mode Control
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