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Jian Chu

Researcher at Nanyang Technological University

Publications -  629
Citations -  20701

Jian Chu is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Linear matrix inequality & Control theory. The author has an hindex of 67, co-authored 595 publications receiving 16806 citations. Previous affiliations of Jian Chu include Ningbo Institute of Technology, Zhejiang University & Chongqing University.

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Applications of microorganisms to geotechnical engineering for bioclogging and biocementation of soil in situ

TL;DR: The aim of these applications is to improve the mechanical properties of soil so that it will be more suitable for construction or environmental purposes, and two notable applications, bioclogging and biocementation, have been explored.
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Biogeochemical processes and geotechnical applications: progress, opportunities and challenges

TL;DR: In this article, the authors assess the progress, opportunities, and challenges in this emerging field, which consists of a geochemical reaction regulated by subsurface microbiology, including mineral precipitation, gas generation, biofilm formation and biopolymer generation.
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Stochastic Synchronization of Markovian Jump Neural Networks With Time-Varying Delay Using Sampled Data

TL;DR: Two delay-dependent criteria are derived to ensure the stochastic stability of the error systems, and thus, the master systems stochastically synchronize with the slave systems.
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Asynchronous l 2 - l ∞ filtering for discrete-time stochastic Markov jump systems with randomly occurred sensor nonlinearities

TL;DR: The existence criterion of the desired asynchronous filter with piecewise homogeneous Markov chain is proposed in terms of a set of linear matrix inequalities and a numerical example is given to show the effectiveness and potential of the developed theoretical results.
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Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process

TL;DR: The fuzzy AHP method proposed in this paper is a simple and effective tool for tackling the uncertainty and imprecision associated with MCDM problems, which might prove beneficial for plant maintenance managers to define the optimum maintenance strategy for each piece of equipment.