Sampling-Based Event-Triggered Control for Neutral-Type Complex-Valued Neural Networks with Partly Unknown Markov Jump and Time-Varying Delay | Zendy

Zhen Wang | Zendy; Lianglin Xiong | Zendy; Haiyang Zhang | Zendy; Yingying Liu | Zendy

Open Access

Sampling-Based Event-Triggered Control for Neutral-Type Complex-Valued Neural Networks with Partly Unknown Markov Jump and Time-Varying Delay

Author(s) -

Zhen Wang,

Lianglin Xiong,

Haiyang Zhang,

Yingying Liu

Publication year - 2021

Publication title -

complexity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.447

H-Index - 61

eISSN - 1099-0526

pISSN - 1076-2787

DOI - 10.1155/2021/5563888

Subject(s) - correctness , event (particle physics) , controller (irrigation) , artificial neural network , jump , stability (learning theory) , markov chain , type (biology) , sampling (signal processing) , control theory (sociology) , markov process , mathematics , class (philosophy) , computer science , control (management) , algorithm , artificial intelligence , statistics , machine learning , ecology , physics , filter (signal processing) , quantum mechanics , agronomy , computer vision , biology

This work is devoted to studying the stochastic stabilization of a class of neutral-type complex-valued neural networks (CVNNs) with partly unknown Markov jump. Firstly, in order to reduce the conservation of our stability conditions, two integral inequalities are generalized to the complex-valued domain. Secondly, a state-feedback controller is designed to investigate the stability of the neutral-type CVNNs with H ∞ performance, making the stability problem a further extension, and then, the stabilization of the CVNNs with H ∞ performance is investigated through a sampling-based event-triggered (SBET) control for the first time that the transmission event is not triggered except when it violates the event-triggered condition. Finally, two examples are given to illustrate the validity and correctness of our obtained theorems.

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