NN-Based Bipartite Hysteretic Quantized Control for Stochastic MASs with Unknown Nonlinearity-Reference-Cited by-同舟云学术

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NN-Based Bipartite Hysteretic Quantized Control for Stochastic MASs with Unknown Nonlinearity

Published:2023-05-20 Issue: Volume: Page:
ISSN:
Container-title:2023 35th Chinese Control and Decision Conference (CCDC)
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Author:

Chen Yanxian¹,Cai Jiayi²,Ruan Xiaoli³

Affiliation:

1. Shenzhen University,College of Mathematics and Statistics,Shenzhen,P. R. China,518060

2. Guizhou University of Finance and Economies,School of Mathematics and Statistics,Guiyang,P. R. China,550025

3. Wuhan Textile University,School of Computer Science and Artificial Intelligence,Wuhan,P. R. China,430200

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10326447/10326467/10327297.pdf?arnumber=10327297

Reference16 articles.

1. Adaptive Neural Output Feedback Control of Uncertain Nonlinear Systems With Unknown Hysteresis Using Disturbance Observer

2. A First Look at Rigorous Probability Theory

3. Event-Triggered Control for a Class of Nonlinear Multiagent Systems With Directed Graph

4. Finite-Time Consensus Tracking Neural Network FTC of Multi-Agent Systems

5. Cooperative Fault-Tolerant Control for Networks of Stochastic Nonlinear Systems With Nondifferential Saturation Nonlinearity

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