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Yiqi Liu
Researcher at South China University of Technology
Publications - 51
Citations - 1152
Yiqi Liu is an academic researcher from South China University of Technology. The author has contributed to research in topics: Soft sensor & Computer science. The author has an hindex of 16, co-authored 39 publications receiving 772 citations.
Papers
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A Mixture of Variational Canonical Correlation Analysis for Nonlinear and Quality-Relevant Process Monitoring
TL;DR: The results show that the proposedVariational Bayesian mixture of canonical correlation analysis (VBMCCA)-based process monitoring method is capable of detecting sensor faults and process faults with satisfactory accuracy.
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Hybrid feedback feedforward
TL;DR: This paper presents an efficient hybrid feedback feedforward (HFF) adaptive approximation-based control (AAC) strategy for a class of uncertain Euler-Lagrange systems and guarantees a minimum configuration of the control structure and a minimum requirement of plant knowledge for the AAC design.
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Composite learning from adaptive backstepping neural network control.
TL;DR: This paper focuses on command-filtered backstepping adaptive control for a class of strict-feedback nonlinear systems with functional uncertainties, where an NN composite learning technique is proposed to guarantee convergence of NN weights to their ideal values without the PE condition.
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Improving dewaterability of anaerobically digested sludge by combination of persulfate and zero valent iron
Kang Song,Xu Zhou,Yiqi Liu,Guo-Jun Xie,Dongbo Wang,Tingting Zhang,Chunshuang Liu,Peng Liu,Beibei Zhou,Qilin Wang +9 more
TL;DR: In this paper, an innovative conditioning approach was proposed to improve the dewaterability of the anaerobically digested sludge (ADS) collected from a full-scale WWTP for the first time.
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Resilience design method based on meta-structure: A case study of offshore wind farm
TL;DR: This paper presents general methodologies for resilience design based on meta-structure under internal deterioration and external shocks, and shows that resilience design can ensure the system recovery after a damage by external shocks arriving according to Poisson distribution with rate 1/720.