M
MengChu Zhou
Researcher at New Jersey Institute of Technology
Publications - 1202
Citations - 49543
MengChu Zhou is an academic researcher from New Jersey Institute of Technology. The author has contributed to research in topics: Petri net & Deadlock. The author has an hindex of 96, co-authored 1124 publications receiving 36969 citations. Previous affiliations of MengChu Zhou include Xidian University & Tongji University.
Papers
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Journal ArticleDOI
Elementary siphons of Petri nets and their application to deadlock prevention in flexible manufacturing systems
Zhiwu Li,MengChu Zhou +1 more
TL;DR: It is proved that by adding a control place for each elementary siphon to make sure that it is marked, deadlock can be successfully prevented and is suitable for large-scale Petri nets.
Journal ArticleDOI
Petri nets and industrial applications: A tutorial
R. Zurawski,MengChu Zhou +1 more
TL;DR: The fundamental concepts of Petri nets are introduced to researchers and practitioners, both from academia and industry, who are involved in the work in the areas of modelling and analysis of industrial types of systems, as well as those who may potentially be involved in these areas.
Book
Petri Net Synthesis for Discrete Event Control of Manufacturing Systems
MengChu Zhou,Frank DiCesare +1 more
TL;DR: This paper presents a meta-synthesis of Petri Nets using FMS as a guide for the construction of parallel Mutual Exclusions in response to the challenge of discrete event control of FMS.
Book
Modeling, Simulation, and Control of Flexible Manufacturing Systems: A Petri Net Approach
MengChu Zhou,Kurapati Venkatesh +1 more
TL;DR: An overview of Petri nets as an integrated tool and methodology in FMS design fundamentals and an object-oriented design methodology for development of FMS control software scheduling using petri nets and future research are presented.
Journal ArticleDOI
An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems
TL;DR: The idea is to investigate the non-negative update process depending on each involved feature rather than on the whole feature matrices, and propose the regularized single-element-based NMF (RSNMF) model, which is especially suitable for solving CF problems subject to the constraint of non-negativity.