| Gradient‐based and least‐squares‐based iterative algorithms for Hammerstein systems using the hierarchical identification principle F Ding, X Liu, J Chu IET Control Theory & Applications 7 (2), 176-184, 2013 | 264 | 2013 |
| Least squares based iterative identification for a class of multirate systems X Liu, J Lu Automatica 46 (3), 549-554, 2010 | 159 | 2010 |
| Hierarchical least-squares based iterative identification for multivariable systems with moving average noises H Han, L Xie, F Ding, X Liu Mathematical and Computer Modelling 51 (9-10), 1213-1220, 2010 | 143 | 2010 |
| Hierarchical gradient based iterative parameter estimation algorithm for multivariable output error moving average systems Z Zhang, F Ding, X Liu Computers & Mathematics with Applications 61 (3), 672-682, 2011 | 135 | 2011 |
| A novel intrusion detection system based on an optimal hybrid kernel extreme learning machine L Lv, W Wang, Z Zhang, X Liu Knowledge-based systems 195, 105648, 2020 | 117 | 2020 |
| Modeling, control, and optimization of ideal internal thermally coupled distillation columns X Liu, J Qian Chemical Engineering & Technology: Industrial Chemistry‐Plant Equipment …, 2000 | 102 | 2000 |
| Dynamics and control of high purity heat integrated distillation columns Y Zhu, X Liu Industrial & engineering chemistry research 44 (23), 8806-8814, 2005 | 81 | 2005 |
| Nonlinear model predictive control of fed-batch fermentations using dynamic flux balance models L Chang, X Liu, MA Henson Journal of Process Control 42, 137-149, 2016 | 79 | 2016 |
| Melt index prediction by weighted least squares support vector machines J Shi, X Liu Journal of applied polymer science 101 (1), 285-289, 2006 | 72 | 2006 |
| Melt index prediction by neural networks based on independent component analysis and multi-scale analysis J Shi, X Liu, Y Sun Neurocomputing 70 (1-3), 280-287, 2006 | 65 | 2006 |
| A novel penalty approach for nonlinear dynamic optimization problems with inequality path constraints X Liu, Y Hu, J Feng, K Liu IEEE Transactions on automatic control 59 (10), 2863-2867, 2014 | 60 | 2014 |
| Melt index prediction by least squares support vector machines with an adaptive mutation fruit fly optimization algorithm W Wang, X Liu Chemometrics and Intelligent Laboratory Systems 141, 79-87, 2015 | 59 | 2015 |
| A novel APSO-aided maximum likelihood identification method for Hammerstein systems J Sun, X Liu Nonlinear Dynamics 73, 449-462, 2013 | 53 | 2013 |
| Modeling mass transport of propylene polymerization on Ziegler–Natta catalyst Y Chen, X Liu Polymer 46 (22), 9434-9442, 2005 | 53 | 2005 |
| A soft sensor based on adaptive fuzzy neural network and support vector regression for industrial melt index prediction M Zhang, X Liu Chemometrics and Intelligent Laboratory Systems 126, 83-90, 2013 | 52 | 2013 |
| High-purity control of internal thermally coupled distillation columns based on nonlinear wave model X Liu, Y Zhou, L Cong, F Ding Journal of Process Control 21 (6), 920-926, 2011 | 52 | 2011 |
| Melt index prediction by RBF neural network optimized with an MPSO-SA hybrid algorithm J Li, X Liu Neurocomputing 74 (5), 735-740, 2011 | 48 | 2011 |
| Recursive maximum likelihood method for the identification of Hammerstein ARMAX system L Ma, X Liu Applied Mathematical Modelling 40 (13-14), 6523-6535, 2016 | 46 | 2016 |
| An iterative multi-objective particle swarm optimization-based control vector parameterization for state constrained chemical and biochemical engineering problems P Zhang, H Chen, X Liu, Z Zhang Biochemical engineering journal 103, 138-151, 2015 | 45 | 2015 |
| Melt index prediction by aggregated RBF neural networks trained with chaotic theory Z Zhang, T Wang, X Liu Neurocomputing 131, 368-376, 2014 | 45 | 2014 |
