Partition-Based Solutions of Static Logical Networks With Applications
文献类型:期刊论文
作者 | Qiao, Yupeng1; Qi, Hongsheng2,3![]() ![]() |
刊名 | IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
![]() |
出版日期 | 2018-04-01 |
卷号 | 29期号:4页码:1252-1262 |
关键词 | Difference-algebraic network implicit function (IF) theorem partition-based solutions semitensor product (STP) of matrices static logical network |
ISSN号 | 2162-237X |
DOI | 10.1109/TNNLS.2017.2669972 |
英文摘要 | Given a static logical network, partition-based solutions are investigated. Easily verifiable necessary and sufficient conditions are obtained, and the corresponding formulas are presented to provide all types of the partition-based solutions. Then, the results are extended to mix-valued logical networks. Finally, two applications are presented: 1) an implicit function (IF) theorem of logical equations, which provides necessary and sufficient condition for the existence of IF and 2) converting the difference-algebraic network into a standard difference network. |
WOS研究方向 | Computer Science ; Engineering |
语种 | 英语 |
WOS记录号 | WOS:000427859600039 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/29733] ![]() |
专题 | 系统科学研究所 |
通讯作者 | Qiao, Yupeng |
作者单位 | 1.South China Univ Technol, Coll Automat Sci & Engn, Guangzhou 510640, Guangdong, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Qiao, Yupeng,Qi, Hongsheng,Cheng, Daizhan. Partition-Based Solutions of Static Logical Networks With Applications[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2018,29(4):1252-1262. |
APA | Qiao, Yupeng,Qi, Hongsheng,&Cheng, Daizhan.(2018).Partition-Based Solutions of Static Logical Networks With Applications.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,29(4),1252-1262. |
MLA | Qiao, Yupeng,et al."Partition-Based Solutions of Static Logical Networks With Applications".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 29.4(2018):1252-1262. |
入库方式: OAI收割
来源:数学与系统科学研究院
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。