Event-Triggered Sliding Mode Control of Switched Neural Networks With Mode-Dependent Average Dwell Time

2019 ◽  
pp. 1-11 ◽  
Author(s):  
Huaicheng Yan ◽  
Hao Zhang ◽  
Xisheng Zhan ◽  
Yueying Wang ◽  
Shiming Chen ◽  
...  
Keyword(s):  
Neural Networks ◽  
Sliding Mode Control ◽  
Dwell Time ◽  
Sliding Mode ◽  
Average Dwell Time ◽  
Mode Control ◽  
Switched Neural Networks ◽  
Event Triggered

scholarly journals Finite-time Projective Synchronization for Semi-markovian Neural Networks Systems via Event-triggered Sliding Mode Control

2021 ◽  
Author(s):  
Junchao Ren ◽  
xuejiao Li
Keyword(s):  
Neural Networks ◽  
Sliding Mode Control ◽  
Finite Time ◽  
Sliding Mode ◽  
Projective Synchronization ◽  
Linear Matrix ◽  
Markov Jump ◽  
Mode Control ◽  
Markov Jump System ◽  
Event Triggered

Abstract This paper investigates the projection synchronization problem of stochastic neural networked systems based on event-triggered sliding mode control (SMC) covering a finite-time period. For improve transmission efficiency and save network resources, a related event-triggered scheme is proposed for the error system, which can identify whether the measurement error should be transmitted to the controller. For finite-time projective synchronization under given event-triggered mechanism, a semi-Markov jump system model is proposed. Secondly, by creating Lyapunov Krasovsky functional and using linear matrix inequality (LMI) technology, as well as considering a proper sliding surface, a sliding mode controller is designed to implement finite-time projection synchronization of different neural networks. Finally, numerical simulations are exploited to illustrate the effectiveness of the main results.

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