Minimum <inline-formula> <tex-math notation="LaTeX">$({h,\phi })-$ </tex-math></inline-formula>Entropy Control for Non-Gaussian Stochastic Networked Control Systems and Its Application to a Networked DC Motor Control System-Reference-Cited by-同舟云学术

Minimum $({h,\phi })-$ Entropy Control for Non-Gaussian Stochastic Networked Control Systems and Its Application to a Networked DC Motor Control System

Published:2015-01 Issue:1 Volume:23 Page:406-411
ISSN:1063-6536
Container-title:IEEE Transactions on Control Systems Technology
language:
Short-container-title:IEEE Trans. Contr. Syst. Technol.

Author:

Ren Mifeng,Zhang Jianhua,Jiang Man,Yu Mei,Xu Jinliang

Funder

National Basic Research Program of China under Grant (973 Program)

National Science Foundation of China

Beijing Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/87/6985698/06834775.pdf?arnumber=6834775

Cited by 39 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Resilient control of networked switched systems subject to deception attack and DoS attack;Automatica;2024-11

2. Input-to-State Stability of Switched Network Control Systems Under Unknown Deception Attacks;IEEE Transactions on Cybernetics;2024-09

3. Adaptive event-triggered output feedback control for uncertain networked T–S fuzzy system with data loss and bounded disturbance: An efficient MPC strategy;Journal of the Franklin Institute;2024-04

4. An Observer-Based Control for a Networked Control of Permanent Magnet Linear Motors under a False-Data-Injection Attack;2023 IEEE Conference on Dependable and Secure Computing (DSC);2023-11-07

5. Adaptive event‐triggered efficient output feedback model predictive control for networked interval type‐2 T–S fuzzy system with data loss;International Journal of Robust and Nonlinear Control;2023-10-23