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Research Hotspot Prediction and Regular Evolutionary Pattern Identification Based on NSFC Grants Using NMF and Semantic Retrieval [PDF]

open access: goldIEEE Access, 2019
Analyzing the research hotspots and regular evolutionary patterns of R&D projects can help researchers find potential information. This paper considers the titles of the National Natural Science Foundation of China (NSFC) grants that have been ...
Jinli Wang   +4 more
doaj   +4 more sources

Optimal Estimation Algorithm Design under Event-based Sensor Data Scheduling**The work of L. He was supported by Natural Science Foundation of China (NSFC) under Grant No. 61503337 and China Postdoctoral Science Foundation under Grant No. 2015M571870; The work of J. Chen was supported by NSFC under Grant No. U1401253.

open access: goldIFAC-PapersOnLine, 2016
Abstract: This paper investigates a remote state estimation problem over a communication channel, which is of theoretical and practical significance in the study of cyber-physical systems (CPS). In consideration of both bandwidth limitation and estimation quality, an event-based schedule is proposed to decide whether to transmit the current ...
Lidong He, Yifei Qi, Jiming Chen
openalex   +3 more sources

Sparse Contribution Plot for Fault Diagnosis of Multimodal Chemical Processes ★ ★This work was partially supported by the NSFC under grants 61210012, 61290324, 61490700, 61473164

open access: goldIFAC-PapersOnLine, 2015
Abstract Chemical processes usually work under different operating modes to meet the market demand and to achieve higher profits. This necessitates investigating related algorithms and alarm systems for multimodal chemical processes. Although some research effort has been made to monitor multimodal processes, little attention was paid to fault ...
Chao Ning, Maoyin Chen, Donghua Zhou
openalex   +3 more sources

Recursive Identification of Hammerstein With Noisy Observations**The work was supported by the NSFC under Grants 61273193, 61120106011, 61134013, the 973 program of China under grant No.2014CB845301, and the National Center for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences, and in part by the Army Research Office under grant W911NF-12-1-0223.http://www.hamecmopsys.ens2m.fr

open access: goldIFAC-PapersOnLine, 2015
Abstract The paper considers the recursive identification of Hammerstein systems with noisy output, while its input may or may not be corrupted by noise. The system in the latter case is usually called as EIV system. The conditions required in this paper are considerably weaker than those used in previous works, e.g., the orders of the linear ...
Biqiang Mu   +3 more
openalex   +3 more sources

Model based control and MFAC, which is better in simulation? * *Resrach supported by NSFC under granted No. 61120106009. Hou Zhongsheng is the corresponding author.

open access: bronzeIFAC Proceedings Volumes, 2013
Abstract This work presents a new data driven model free adaptive controller by virtue of the gradient information of the available plant model. Our approach is novel in the sense that we use the measured data to directly design the controller, and predict the system output using the plant model if the plant model is available.
Zhongsheng Hou, Yuanming Zhu
openalex   +3 more sources

A balanced method detecting differentially expressed genes for RNA-sequencing data**This work is supported by NSFC grant (No. 61472086) to Fei Wang

open access: goldIFAC-PapersOnLine, 2015
Abstract As RNA-seq becomes the main application for gene expression profiling, many computational methods have been developed for analysis of differential expression (DE) genes in RNA-seq data. However, most existing algorithms prefer to call long genes as DE.
Jinyang Tang, Fei Wang
openalex   +3 more sources

Traffic Signal Control based on Markov Decision Process**This work is supported in part by the National Science Foundation of China (Grant No. 61374110, 61433002, 61221003), NSFC International Cooperation Project (Grant No. 71361130012).

open access: goldIFAC-PapersOnLine, 2016
Abstract: This paper proposes a Morkov state transition model for an isolated intersection in urban traffic and formulates the traffic signal control problem as a Markov Decision Process(MDP). In order to reduce computational burden, a sensitivity-based policy iteration(PI) algorithm is introduced to solve the MDP. The proposed model is stage-varying
Yunwen Xu   +3 more
openalex   +3 more sources

Learning to Win in Evolutionary Two-person Boolean Game with Fixed Strategy Updating Rule**This work was partially supported by the National Natural Science Foundation in China (NSFC) under Grant 61473038.

open access: goldIFAC-PapersOnLine, 2015
Abstract This paper introduces an algorithm to learn the strategy updating rule for a two- person Boolean game using the records of the history strategies and game results. The two-person game in this paper is introduced as a zero-sum game along with a Boolean strategy set, and the strategies are governed by fixed Boolean functions whose arguments ...
Dong Wang, Hongbin Ma
openalex   +3 more sources

On Nonlinear Observer Parameterizations and Its Application to Fault Detection ★ ★This work has been supported in part by the NSFC under Grants 61473004, 61174052 and 61210012.

open access: goldIFAC-PapersOnLine, 2015
Abstract This paper investigates observer parameterizations and its application to observer-based fault detection for nonlinear systems. With the aid of coprime factorization techniques, the observer parameterization forms are first derived in terms of input-to-output approach and state space representation.
Linlin Li   +4 more
openalex   +3 more sources

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