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Peng Cui 0005

dblp:31/891-5 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2013
0000-0003-4264-5061ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-authorArtificial intelligence and machine learning · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Logic in computer science · 50% Combinatorics and discrete mathematics · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Logic in computer science
algebraic logic		 0.012013
Singular Boolean networks: Semi-tensor product approach · Sci. China Inf. Sci. 2013
Combinatorics and discrete mathematics › matrix theory
semi-tensor product		 0.012013
Singular Boolean networks: Semi-tensor product approach · Sci. China Inf. Sci. 2013

Methods — techniques the papers use, named apart from their topics

semi-tensor product · 0.2
YearPublicationVenuePosition
2013 Singular Boolean networks: Semi-tensor product approach
Jun-e Feng, Juan Yao, Peng Cui 0005
 Sci. China Inf. Sci.3
2012 Stability analysis of a distributed state estimator for linear systems
abstract
A distributed steady-state estimator is presented for linear interconnected systems. Stability of the distributed estimator is investigated. Sufficient conditions of stability are deduced based on the state and observation models. Some examples are provided to illustrate the relationship between the stability of the estimator and that of the original dynamics.
Peng Cui 0005, Minyue Fu 0001
 ICARCV1
2009 Steady-State Optimal Filtering for Continuous Systems With Time-Delay
abstract
This paper is concerned with the steady-state optimal filtering problem for continuous-time systems withldelayed measurements. The design of the filter involves in solving one spectral factorization with time-delays, which is the key problem to be solved. A novel approach for the spectral factorization is proposed based on reorganized innovation analysis. The calculation of spectral factor comes down to solvingl+1 standard Riccati equations with the same dimension as the original systems.
Hongguo Zhao, Huanshui Zhang, Peng Cui 0005
 IEEE Signal Process. Lett.3