State Distribution of Markovian Jump Boolean Networks and Its Applications-Reference-Cited by-同舟云学术

State Distribution of Markovian Jump Boolean Networks and Its Applications

Published:2023-03 Issue:3 Volume:68 Page:1815-1822
ISSN:0018-9286
Container-title:IEEE Transactions on Automatic Control
language:
Short-container-title:IEEE Trans. Automat. Contr.

Author:

Meng Min¹^ORCID,Xiao Gaoxi²^ORCID

Affiliation:

1. Department of Control Science and Engineering, College of Electronics and Information Engineering, the Institute for Advanced Study, and Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai, China

2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

Funder

Ministry of Education - Singapore

Shanghai Pujiang Program

National Natural Science Foundation of China

Shanghai Municipal Science and Technology Major Project

Shanghai Municipal Commission of Science and Technology

Young Elite Scientist Sponsorship Program

China Association for Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9/10056266/09729526.pdf?arnumber=9729526

Reference39 articles.

1. Function perturbations on singular Boolean networks

2. Optimal Fault Detection and Diagnosis in Transcriptional Circuits Using Next-Generation Sequencing

3. An Improved Criterion for Controllability of Boolean Control Networks

4. Adaptive particle filtering for fault detection in partially-observed Boolean dynamical systems;bahadorinejad;IEEE/ACM Trans Comput Biol Bioinf,2020

5. Stability and guaranteed cost analysis of time-triggered Boolean networks;meng;IEEE Trans Neural Netw Learn Syst,2018

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