A Novel Fast Fixed-Time Control Strategy and Its Application to Fixed-Time Synchronization Control of Delayed Neural Networks

2021 ◽  
Author(s):  
Xin Wang ◽  
Jinde Cao ◽  
Jiangtao Wang ◽  
Jinshan Qi ◽  
Qingying Sun
Keyword(s):  
Neural Networks ◽  
Control Strategy ◽  
Time Synchronization ◽  
Fixed Time ◽  
Synchronization Control ◽  
Delayed Neural Networks ◽  
Time Control

scholarly journals Design of fixed-time synchronization algorithm with applications

2019 ◽  
Vol 16 (6) ◽  
pp. 172988141989131
Author(s):  
Peng Zhang ◽  
Yongzheng Cong ◽  
Di Wu ◽  
Guorong Zhang ◽  
Qi Tan
Keyword(s):  
Time Synchronization ◽  
Lyapunov Stability Theory ◽  
Fixed Time ◽  
Homogeneous System ◽  
Synchronization Control ◽  
Multi Agent Systems ◽  
Time Control ◽  
Robot Systems ◽  
Electric Power Networks ◽  
Multi Agent

Fixed-time synchronization problem for a class of leader–follower multi-agent systems with second-order nonlinearity is studied in this article. A new fixed-time synchronization control algorithm is developed by effectively combining homogeneous system theory, Lyapunov stability theory, and fixed-time/finite-time control technology. The leader–follower multi-agent system is considered to achieve fixed-time synchronization control. Finally, numerical simulations including coordination control multiple pendulum robot systems and electric power networks are carried out to verify the control performance of the control strategy.

scholarly journals The Fast Fixed-Time Bipartite Synchronization of Coupled Delayed Neural Networks with Signed Graphs

2021 ◽  
Author(s):  
Shiju Yang ◽  
Chuandong Li ◽  
Yu Li ◽  
Ting Yang ◽  
Bo Li
Keyword(s):  
Neural Networks ◽  
Time Synchronization ◽  
Lyapunov Stability Theory ◽  
Fixed Time ◽  
Initial Condition ◽  
Signed Graphs ◽  
Comparison System ◽  
Delayed Neural Networks ◽  
Synchronization Problem ◽  
System Method

Abstract In this paper, the fixed-time bipartite synchronization problem for coupled delayed neural networks with signed graphs is discussed. Different from traditional neural networks, the interactions between nodes of delayed neural networks can be either collaborative or antagonistic. Furthermore, compared with the initial-condition based finite-time synchronization, the settling time is bounded by a constant within fixedtime regardless of the initial condition. It is worth noting that the fixed-time stable network for bipartite synchronization in this paper achieves more faster convergence than most existing publications. By applying constructing comparison system method, Lyapunov stability theory and inequality techniques, some sufficient criteria for fixed-time bipartite synchronization are obtained. Finally, two numerical examples are granted to display the performance of the obtained results.

scholarly journals Synchronization of Time-Varying Delayed Neural Networks by Fixed-Time Control

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 74240-74246 ◽  
Author(s):  
Yuhua Xu ◽  
Xiaoqun Wu ◽  
Chao Xu
Keyword(s):  
Neural Networks ◽  
Fixed Time ◽  
Time Varying ◽  
Delayed Neural Networks ◽  
Time Control

scholarly journals Fixed-Time Synchronization Control of Delayed Dynamical Complex Networks

Entropy ◽  
2021 ◽  
Vol 23 (12) ◽  
pp. 1610
Author(s):  
Mei Liu ◽  
Binglong Lu ◽  
Zhanfeng Li ◽  
Haijun Jiang ◽  
Cheng Hu
Keyword(s):  
Complex Networks ◽  
Control Parameter ◽  
Time Synchronization ◽  
Adaptive Controller ◽  
Fixed Time ◽  
Synchronization Control ◽  
Delayed Neural Networks ◽  
Synchronization Problem ◽  
Delayed Dynamical Networks ◽  
Dynamical Complex Networks

Fixed-time synchronization problem for delayed dynamical complex networks is explored in this paper. Compared with some correspondingly existed results, a few new results are obtained to guarantee fixed-time synchronization of delayed dynamical networks model. Moreover, by designing adaptive controller and discontinuous feedback controller, fixed-time synchronization can be realized through regulating the main control parameter. Additionally, a new theorem for fixed-time synchronization is used to reduce the conservatism of the existing work in terms of conditions and the estimate of synchronization time. In particular, we obtain some fixed-time synchronization criteria for a type of coupled delayed neural networks. Finally, the analysis and comparison of the proposed controllers are given to demonstrate the validness of the derived results from one numerical example.

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