Neural-Network-Based Stochastic Scheduling Control of Unknown Nonlinear Systems-Reference-Cited by-同舟云学术

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Neural-Network-Based Stochastic Scheduling Control of Unknown Nonlinear Systems

Published:2024-01 Issue:1 Volume:54 Page:97-106
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Ji Huihui¹^ORCID,Xu Shengyuan²^ORCID,Zhang He³^ORCID

Affiliation:

1. School of Mathematics, Nanjing Audit University, Nanjing, China

2. School of Automation, Nanjing University of Science and Technology, Nanjing, China

3. College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China

Funder

National Natural Science Foundation of China

Basic Science (Natural Science) Research Project of Higher Education in Jiangsu Province

Jiangsu University Philosophy and Social Science Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221021/10364887/10242083.pdf?arnumber=10242083

Reference27 articles.

1. Novel scheduling policies in real-time multithread control system design

2. Weakly hard real-time systems

3. Firm real-time system scheduling based on a novel QoS constraint

4. Design and Stability Analysis for Anytime Control via Stochastic Scheduling

5. Almost Sure Stabilization of Continuous-Time Jump Linear Systems via a Stochastic Scheduled Controller

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