Xinggao Liu

发表

Operation Cost Optimization of Heat Integrated Distillation Columns

Xinggao Liu, Mingguang Wu, 2006, 2006 6th World Congress on Intelligent Control and Automation.

Nonlinear wave modeling and dynamic analysis of high-purity heat integrated air separation column

Xinggao Liu, Yao Fu, Xinggao Liu, 2015 .

A novel ship classification approach for high resolution SAR images based on the BDA-KELM classification model

Jun Wu, Wenhai Wang, Zhipeng Xu, 2017 .

A soft sensor based on adaptive fuzzy neural network and support vector regression for industrial melt index prediction

Xinggao Liu, Mingming Zhang, Xinggao Liu, 2013 .

Melt index prediction by least squares support vector machines with an adaptive mutation fruit fly optimization algorithm

Xinggao Liu, Wenchuan Wang, Xinggao Liu, 2015 .

Sensitivity-based adaptive mesh refinement collocation method for dynamic optimization of chemical and biochemical processes

Weihua Gui, Yalin Wang, Chunhua Yang, 2017, Bioprocess and Biosystems Engineering.

Melt Index Prediction Based on Two Compensation by Compound Basis Function Neural Network and Hidden Markov Model

Hongmei Chen, Xinggao Liu, 2014 .

Characterization of chaotic multiscale features on the time series of melt index in industrial propylene polymerization system

Ting Wang, Xinggao Liu, Zeyin Zhang, 2014, J. Frankl. Inst..

Least-squares based iterative parameter estimation for two-input multirate sampled-data systems

Feng Ding, Jing Lu, Xinggao Liu, 2009, 2009 American Control Conference.

Soft Sensing and Optimization of Pesticide Waste Incinerator

Xinggao Liu, Zhengbing Yan, 2011, 2011 International Symposium on Advanced Control of Industrial Processes (ADCONIP).

Melt index prediction based on fuzzy neural networks and PSO algorithm with online correction strategy

Chengye Zhao, Xinggao Liu, 2012 .

Dynamic behaviors and nonlinear wave model control of heat integrated air separation columns with different purities

Xinggao Liu, Yao Fu, 2016 .

Application of Takagi–Sugeno fuzzy model optimized with an improved Free Search algorithm to industrial polypropylene melt index prediction

Youxian Sun, Miao Zhang, Hongmei Chen, 2017 .

Empirical mode decomposition-based time grid refinement optimization approach for optimal control problems

Ping Liu, Xinggao Liu, 2017, Optim. Lett..

Melt index prediction by RBF neural network optimized with an adaptive new ant colony optimization algorithm

Xinggao Liu, Jiubao Li, Xinggao Liu, 2011 .

Quality prediction via semisupervised Bayesian regression with application to propylene polymerization

Xinggao Liu, Zeyin Zhang, Yuanmeng Sun, 2018, Journal of Chemometrics.

Melt index prediction by neural networks based on independent component analysis and multi-scale analysis

Youxian Sun, Jian Shi, Xinggao Liu, 2006, Neurocomputing.

A novel APSO-aided weighted LSSVM method for nonlinear hammerstein system identification

Liang Ma, Xinggao Liu, Xinggao Liu, 2017, J. Frankl. Inst..

An advanced control of heat integrated air separation column based on simplified wave model

Xinggao Liu, Yao Fu, 2017 .

A novel non-uniform control vector parameterization approach with time grid refinement for flight level tracking optimal control problems.

Weihua Gui, Yalin Wang, Chunhua Yang, 2018, ISA transactions.

An adaptive pseudospectral method for constrained dynamic optimization problems in chemical engineering

Shiming He, Xinggao Liu, Long Xiao, 2016 .

Optimal online soft sensor for product quality monitoring in propylene polymerization process

Zhong Cheng, Xinggao Liu, Xinggao Liu, 2015, Neurocomputing.

Melt index prediction by RBF neural network optimized with an MPSO-SA hybrid algorithm

Xinggao Liu, Jiubao Li, Xinggao Liu, 2011, Neurocomputing.

A novel effective diagnosis model based on optimized least squares support machine for gene microarray

Xinggao Liu, Xinteng Gao, 2018, Appl. Soft Comput..

Nonlinear dynamic behaviors and control based on simulation of high-purity heat integrated air separation column.

Xinggao Liu, Yao Fu, Xinggao Liu, 2015, ISA transactions.

An Improved Control Vector Iteration Approach for Nonlinear Dynamic Optimization (I) Problems Without Path Constraints

Xinggao Liu, An-Ke Xue, Yunqing Hu, 2012 .

A novel fault diagnosis method based on optimal relevance vector machine

Youxian Sun, Jiangang Lu, Shiming He, 2017, Neurocomputing.

Dynamic matrix control of a high-purity internal thermally coupled distillation column

Lin Cong, Chengyu Wang, Xinggao Liu, 2014 .

Melt index prediction by RBF neural network with an ICO-VSA hybrid optimization algorithm

Xinggao Liu, Mingyu Huang, Jiubao Li, 2012 .

An effective fault diagnosis approach based on optimal weighted least squares support vector machine

Youxian Sun, Jiangang Lu, Shiming He, 2017 .

Adaptive Robust Generic Model Control of High‐Purity Internal Thermally Coupled Distillation Column

Lin Cong, Chengyu Wang, Xinggao Liu, 2011 .

Fast engineering optimization: A novel highly effective control parameterization approach for industrial dynamic processes.

Xinggao Liu, Ping Liu, Guodong Li, 2015, ISA transactions.

Non-equilibrium stage based modeling of heat integrated air separation columns

Xinggao Liu, Liang Chang, Xinggao Liu, 2014 .

A Novel Penalty Approach for Nonlinear Dynamic Optimization Problems With Inequality Path Constraints

Jianghua Feng, Xinggao Liu, Yunqing Hu, 2014, IEEE Transactions on Automatic Control.

Melt Index Predict by Radial Basis Function Network Based on Principal Component Analysis

Xinggao Liu, Zhengbing Yan, 2006, IDEAL.

Adaptive generalised predictive control of high purity internal thermally coupled distillation column

Lin Cong, Chengyu Wang, Xinggao Liu, 2012 .

Control variable parameterisation with penalty approach for hypersonic vehicle reentry optimisation

Zhang Ren, Guodong Li, Ping Liu, 2019, Int. J. Control.

Investigating Control Schemes for an Ideal Thermally Coupled Distillation Column (ITCDIC)

Xinggao Liu, Yu Zhu, 2005 .

Novel non-uniform adaptive grid refinement control parameterization approach for biochemical processes optimization

Ping Liu, Xinggao Liu, Zeyin Zhang, 2016 .

Optimal Control Vector Parameterization Approach with a Hybrid Intelligent Algorithm for Nonlinear Chemical Dynamic Optimization Problems

Liang Ma, Xinggao Liu, Panpan Zhang, 2015 .

Neural Soft-Sensor of Product Quality Prediction

Xinggao Liu, Jian Shi, Jianhua Zhu, 2006, 2006 6th World Congress on Intelligent Control and Automation.

A new sensitivity-based adaptive control vector parameterization approach for dynamic optimization of bioprocesses

Liwei Wang, Xinggao Liu, Zeyin Zhang, 2016, Bioprocess and Biosystems Engineering.

A novel group squeeze excitation sparsely connected convolutional networks for SAR target classification

Guoquan Huang, Xinggao Liu, Ze Wang, 2019, International Journal of Remote Sensing.

A soft sensor for industrial melt index prediction based on evolutionary extreme learning machine

Miao Zhang, Xinggao Liu, Zeyin Zhang, 2016 .

High-purity control of internal thermally coupled distillation columns based on nonlinear wave model

Lin Cong, Xinggao Liu, Feng Ding, 2011 .

Melt index prediction using optimized least squares support vector machines based on hybrid particle swarm optimization algorithm

Huaqin Jiang, Xinggao Liu, Zhengbing Yan, 2013, Neurocomputing.

Nonlinear wave modeling and dynamic analysis of internal thermally coupled distillation columns

Lin Cong, Xinggao Liu, Jie Zhang, 2012 .

Product Quality Prediction with Support Vector Machines

Xinggao Liu, 2006, ISNN.

Improved fruit fly optimization algorithm optimized wavelet neural network for statistical data modeling for industrial polypropylene melt index prediction

Miao Zhang, Xinggao Liu, Wenchuan Wang, 2015 .

Dynamic behaviours and control of full tower heat integrated air separation columns

Liang Chang, Xinggao Liu, Xinggao Liu, 2015 .

Melt Index Prediction Based on Adaptive Particle Swarm Optimization Algorithm‐Optimized Radial Basis Function Neural Networks

Feng Ding, Chengye Zhao, Xinggao Liu, 2010 .

Least squares based iterative identification for a class of multirate systems

Jing Lu, Xinggao Liu, Xinggao Liu, 2010, Autom..

Modeling, Characteristic Analysis and Optimization of an Improved Heat‐Integrated Air Separation Column

Xinggao Liu, Liang Chang, Xinggao Liu, 2015 .

Control schemes of internal thermally coupled distillation columns for non-ideal mixtures

Xinggao Liu, Jixin Qian, Yu Zhu, 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).

A novel Bayesian inference soft sensor for real-time statistic learning modeling for industrial polypropylene melt index prediction

Xu Chen, Weihua Gui, Yalin Wang, 2017 .

Optimal energy cost in ideal internal thermally coupled distillation columns

Jie Zhang, Xinggao Liu, Jixin Qian, 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

Adaptive Internal Model Control of a High‐Purity Heat‐Integrated Air Separation Column

Yao Fu, Xinggao Liu, 2015 .

Modelling and analysis of control system on industrial ethylene separation process

Meng Zhang, Xinggao Liu, Yongmao Xu, 2002 .

A novel modeling approach and its application in polymer quality index prediction

Xu Chen, Guoqing Zhang, Hongxing Zhang, 2018, Trans. Inst. Meas. Control.

Control Vector Parameterization‐Based Adaptive Invasive Weed Optimization for Dynamic Processes

Youxian Sun, Jiangang Lu, Weihua Gui, 2018 .

A novel fast dynamic optimization approach for complex multivariable chemical process systems

Ping Liu, Xinggao Liu, Zeyin Zhang, 2016 .

Ship detection based on squeeze excitation skip-connection path networks for optical remote sensing images

Guoquan Huang, Xinggao Liu, Ze Wang, 2019, Neurocomputing.

Production optimization for concentration and volume-limited fed-batch reactors in biochemical processes

Weihua Gui, Yalin Wang, Chunhua Yang, 2018, Bioprocess and Biosystems Engineering.

A novel adaptive Gauss pseudospectral method for nonlinear optimal control of constrained hypersonic re‐entry vehicle problem

Lu Lv, Guoquan Huang, Xinggao Liu, 2018, International Journal of Adaptive Control and Signal Processing.

Control Parameterization‐Based Adaptive Particle Swarm Approach for Solving Chemical Dynamic Optimization Problems

Xinggao Liu, You Zhou, Xinggao Liu, 2014 .

Comments on “Optimal Use of Mixed Catalysts for Two Successive Chemical Reactions”

Guodong Li, Xinggao Liu, Xinggao Liu, 2015, J. Optim. Theory Appl..

Melt index prediction by fuzzy functions with dynamic fuzzy neural networks

Xinggao Liu, Senqi Xu, Xinggao Liu, 2014, Neurocomputing.

Analytical sensitivity computation using collocation method with non-uniform mesh discretisation for numerical solutions of optimal control problems

Lu Lv, Zheng Zongzhun, Xinggao Liu, 2019, Int. J. Control.

Hierarchical least-squares based iterative identification for multivariable systems with moving average noises

Feng Ding, Li Xie, Xinggao Liu, 2010, Math. Comput. Model..

An effective pseudospectral method for constraint dynamic optimisation problems with characteristic times

Liang Ma, Xinggao Liu, Zeyin Zhang, 2018, Int. J. Control.

A real‐time model based on optimized least squares support vector machine for industrial polypropylene melt index prediction

Miao Zhang, Xinggao Liu, 2016 .

Hierarchical gradient based iterative parameter estimation algorithm for multivariable output error moving average systems

Feng Ding, Zhening Zhang, Xinggao Liu, 2011, Comput. Math. Appl..

Analysis of process control performance for an industrial demethanizer based on dynamic simulation

Gang Rong, Jun Liang, Xinggao Liu, 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).

Adaptive predictive PID control scheme of ideal internal thermally coupled distillation columns

Xinggao Liu, Jixin Qian, Yu Zhu, 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).

Generalized generic model control of high‐purity internal thermally coupled distillation column based on nonlinear wave theory

Youxian Sun, Lin Cong, Xinggao Liu, 2013 .

Melt index prediction by adaptively aggregated RBF neural networks trained with novel ACO algorithm

Huaqin Jiang, Xinggao Liu, Jiubao Li, 2012 .

An empirical evaluation of attention-based multi-head models for improved turbofan engine remaining useful life prediction pdf

Xinggao Liu, Abiodun Ayodeji, Jianquan Yuan, 2021, ArXiv.

Analyze and Design Network Architectures by Recursion Formulas pdf

Xinggao Liu, Yilin Liao, Hao Wang, 2021, ArXiv.

A novel non-uniform optimal control approach for hypersonic cruise vehicle with waypoint and no-fly zone constraints

Xinggao Liu, Zhenqiang Qi, Zongzhun Zheng, 2021, Int. J. Syst. Sci..

A Novel Aggregated Multipath Extreme Gradient Boosting Approach for Radar Emitter Classification

Xinggao Liu, Deguo Zeng, Shiqiang Zhao, 2022, IEEE Transactions on Industrial Electronics.

A novel adaptive generic model control strategy for internal thermally coupled air separation columns with multivariable recursive estimation

Weihua Gui, Xinggao Liu, Youxian Sun, 2021, Comput. Chem. Eng..

Quality control in the polypropylene manufacturing process: An efficient, data‐driven approach

Xinggao Liu, Xinggao Liu, Zhong Cheng, 2015 .

Nonlinear-wave based analysis and modeling of heat integrated distillation column

Liang Chang, Xinggao Liu, Xinggao Liu, 2015 .

Modeling, Characteristic Analysis, and Optimization of Ideal Internal Thermally Coupled Air Separation Columns

Liang Chang, Xinggao Liu, Youxian Sun, 2012 .

Dynamics and control designs for internal thermally coupled distillation columns with different purities, Part 1 : Open loop dynamic behaviors

Yu Zhu, Jian Chu, Xinggao Liu, 2006 .

Predicting industrial polymer melt index via incorporating chaotic characters into Chou's general PseAAC

Xinggao Liu, Xinggao Liu, Miao Zhang, 2015 .

Nonlinear Model Predictive Control Based on Wave Model of High-Purity Internal Thermally Coupled Distillation Columns

Xinggao Liu, Xinggao Liu, Lin Cong, 2013 .

An efficient interior-point algorithm with new non-monotone line search filter method for nonlinear constrained programming

Xinggao Liu, Zeyin Zhang, Xinggao Liu, 2017 .

Melt index prediction by weighted least squares support vector machines

Xinggao Liu, Xinggao Liu, Jianfeng Shi, 2006 .

An Improved Control Parameterization Method for Chemical Dynamic Optimization Problems

Xinggao Liu, Xinggao Liu, Hui Tao, 2006, 2006 6th World Congress on Intelligent Control and Automation.

Modeling and Behavior Analyses of Internal Thermally Coupled Air Separation Columns

Xinggao Liu, Z. B. Yan, X. G. Liu, 2011 .

Modeling mass transport of propylene polymerization on Ziegler–Natta catalyst

Xinggao Liu, Xinggao Liu, Yuan Chen, 2005 .

Sidestream Analysis and Optimization of Full Tower Internal Thermally Coupled Air Separation Columns

Liang Chang, Xinggao Liu, Xinggao Liu, 2014 .

A nonlinear recursive instrumental variables identification method of Hammerstein ARMAX system

Xinggao Liu, Xinggao Liu, Liang Ma, 2015 .

Temperature profile movement investigation and application to a control scheme with corrected set-point for a heat integrated distillation column

Xinggao Liu, Xinggao Liu, Lin Cong, 2020 .

Optimal control problems with incomplete and different integral time domains in the objective and constraints

Xinggao Liu, Xinggao Liu, Guodong Li, 2014 .

A Penalty Method for Solving Inequality Path Constrained Optimal Control Problems: A Penalty Method for Solving Inequality Path Constrained Optimal Control Problems

Xinggao Liu, Yunqing Hu, An-Ke Xue, 2014 .

Nonlinear control based on wave model of high-purity heat integrated air separation column

Xinggao Liu, Yao Fu, 2015 .

Optimization of Cryogenic Air Separation Distillation Columns

Xinggao Liu, Xinggao Liu, Yu Zhu, 2006, 2006 6th World Congress on Intelligent Control and Automation.

An improved smoothing technique‐based control vector parameterization method for optimal control problems with inequality path constraints

Ping Liu, Xinggao Liu, Yunqing Hu, 2017 .

Radial point interpolation collocation method (RPICM) for partial differential equations

Kang Tai, Xinggao Liu, K. Y. Lam, 2005 .