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Research Hotspot Prediction and Regular Evolutionary Pattern Identification Based on NSFC Grants Using NMF and Semantic Retrieval [PDF]
IEEE 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
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IFAC-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
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IFAC-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
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IFAC-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
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IFAC-PapersOnLine, 2016 Abstract This paper presents the real-time moving horizon estimation (MHE) for Moving Long Baseline (MLBL) positioning system. By establishing the linear positioning model, we formulate MLBL positioning problem in a linear, time-invariant, discrete-time system.
Wei Chen, Weisheng Yan, Rongxin Cui
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IFAC 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
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IFAC-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
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IFAC-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
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IFAC-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
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IFAC-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
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