Search Results - "Xu, Zuhua"

Convergence Analysis and Digital Implementation of a Discrete-Time Neural Network for Model Predictive Control by Lu, Yang, Li, Dewei, Xu, Zuhua, Xi, Yugeng

“…In this paper, a discrete-time neural network for solving convex quadratic programming (QP) problems in constrained model predictive control (MPC) technology…”
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Effect of platelet-derived growth factor (PDGF-BB) and bone morphogenic protein 2 (BMP-2) transfection of rBMSCs compounded with platelet-rich plasma on adipogenic differentiation by Sun, Jin, Jiang, Xin, Luo, Junnan, Zhao, Liheng, Xu, Zuhua, Xiao, Wende

“…The aim of this study was to inhibit adipogenic differentiation by transfecting two growth factors, platelet-derived growth factor (PDGF-BB) and bone…”
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Nonlinear MPC using an Identified LPV Model by Xu, Zuhua, Zhao, Jun, Qian, Jixin, Zhu, Yucai

“…A method of nonlinear model predictive control based on an identified LPV model is proposed. In process identification, a linear parameter varying (LPV) model…”
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Lane-Level Traffic Flow Prediction with Heterogeneous Data and Dynamic Graphs by Zhou, Junjie, Shuai, Siyue, Wang, Lingyun, Yu, Kaifeng, Kong, Xiangjie, Xu, Zuhua, Shao, Zhijiang

“…With the continuous development of smart cities, intelligent transportation systems (ITSs) have ushered in many breakthroughs and upgrades. As a solid…”
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Automatic load change system of cryogenic air separation process by Xu, Zuhua, Zhao, Jun, Chen, Xi, Shao, Zhijiang, Qian, Jixin, Zhu, Lingyu, Zhou, Zhiyong, Qin, Haizhong

“…► An automatic load change system of air separation process is developed. ► A two-layer framework integrated with SSO and NMPC is designed. ► Homotopy-based…”
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An optimal filter based MPC for systems with arbitrary disturbances by Wang, Haokun, Xu, Zuhua, Zhao, Jun, Jiang, Aipeng

“…In this study, a linear model predictive control（MPC） approach with optimal filters is proposed for handling unmeasured disturbances with arbitrary statistics…”
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Robust Iterative Learning Control with Quadratic Performance Index by Xu, Zuhua, Zhao, Jun, Yang, Yi, Shao, Zhijiang, Gao, Furong

“…In this paper, a robust iterative learning control (ILC) designed through a linear matrix inequality (LMI) approach is proposed first, based on the worst-case…”
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Model predictive control case study: Selective catalytic reduction (SCR) system in coal-fired power plant by Zhang, Kangkang, Zhao, Jun, Zhu, Yucai, Xu, Zuhua

“…Selective catalytic reduction (SCR) is a leading aftertreatment technology for removal of nitrogen oxides (NO x ) from flue gas in coal-fired power plant. In…”
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On parameter design for predictive control with adaptive disturbance model by Wenbo Wang, Jun Zhao, Zuhua Xu

“…The step model widely used to estimate the unmeasured output disturbance in MPC at present has limited disturbance rejection performance. Adaptive disturbance…”
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Equivalence between proportional integral observer and augmented Kalman filter by Wang Haokun, Zhao Jun, Xu Zuhua, Shao Zhijiang

“…The relationship between the proportional integral observer (PIO) and the augmented Kalman filter (AKF) is addressed in this paper. A general PIO is proposed…”
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Sensitivity-based Mnemonic Enhancement Optimization (S-MEO) for Real-time Optimization of Chemical Process by Chen, Weifeng, Zhu, Lingyu, Chen, Xi, Xu, Zuhua, Shao, Zhijiang

“…Real-time optimization (RTO) has become a standard practice to improve production benefits during the past years. The efficiency of solving optimization…”
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Benchmark operating points determining method of operating trajectory LPV model based on gap metric by Hua Shen, Jun Zhao, Zuhua Xu

“…A Linear parameter varying model(LPV) is such a model structure which is featured by its linear model structure and varying model parameters. It uses several…”
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Physics-informed gated recurrent graph attention unit network for anomaly detection in industrial cyber-physical systems by Wu, Weiqiang, Song, Chunyue, Zhao, Jun, Xu, Zuhua

“…Industrial cyber-physical systems (ICPSs) play an important role in many critical infrastructures. To ensure the secure and reliable operation of ICPSs, this…”
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Deep Subdomain Learning Adaptation Network: A Sensor Fault-Tolerant Soft Sensor for Industrial Processes by Zhang, Xiangrui, Song, Chunyue, Zhao, Jun, Xu, Zuhua, Deng, Xiaogang

“…Sensor faults are non-negligible issues for soft sensor modeling. However, existing deep learning-based soft sensors are fragile and sensitive when considering…”
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Long-term prediction enhancement based on multi-output Gaussian process regression integrated with production plans for oxygen supply network by Zhou, Pengwei, Xu, Zuhua, Peng, Xudong, Zhao, Jun, Shao, Zhijiang

“…•A prediction enhancement method based on MOGPR integrated with production plans for oxygen demand prediction is proposed.•The proposed method models the…”
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Deep Gaussian mixture adaptive network for robust soft sensor modeling with a closed-loop calibration mechanism by Zhang, Xiangrui, Song, Chunyue, Zhao, Jun, Xu, Zuhua

“…Process drift leads to an out-of-distribution problem between historical training data and online deployment data, which deteriorates the performance of soft…”
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Long-term hybrid prediction method based on multiscale decomposition and granular computing for oxygen supply network by Zhou, Pengwei, Xu, Zuhua, Zhao, Jun, Song, Chunyue, Shao, Zhijiang

“…•Long-term hybrid prediction method based on multiscale decomposition and granular computing for oxygen supply network is proposed.•Oxygen flow data are…”
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Spatial-Temporal Causality Modeling for Industrial Processes With a Knowledge-Data Guided Reinforcement Learning by Zhang, Xiangrui, Song, Chunyue, Zhao, Jun, Xu, Zuhua, Deng, Xiaogang

“…Causality in an industrial process provides insights into how various process variables interact and affect each other within the system. It reveals the…”
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Self-Evolving Offset-Free Model Predictive Control with Model–Plant Mismatch for Dynamic Working-Point Change Tasks in Industrial Processes by Yang, Guanghui, Wang, Rui, Xu, Zuhua, Shao, Zhijiang

“…This study proposes a self-evolving offset-free model predictive control (MPC) algorithm for dynamic working-point change (DWPC) tasks in industrial processes…”
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Data-Efficient Constrained Learning for Optimal Tracking of Batch Processes by Zhou, Yuanqiang, Gao, Kaihua, Li, Dewei, Xu, Zuhua, Gao, Furong

“…Repeatability provides an opportunity to learn from historical process data, thus enabling batch processes to produce high-value and batch-improved products…”
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