A Multiple RBF NN Modeling Approach to BOF Endpoint Estimation in Steelmaking Process. - Xin Wang 012; Shaoyuan Li; Zhongjie Wang; Jun Tao; Jinxin Liu (ISNN (2), 2004)

Multiple Models Neural Network Decoupling Controller for a Nonlinear System. - Xin Wang 012; Shaoyuan Li; Zhongjie Wang; Heng Yue (ISNN (2), 2004)

Multiple Models Fuzzy Decoupling Controller for a Nonlinear System. - Xin Wang 012; Hui Yang 005; Bing Wang (FSKD, 2006)

Multiple Models Adaptive Decoupling Controller Using Dimension-By-DimensionTechnology. - Xin Wang 012; Hui Yang 005 (ICICIC (1), 2006)

Hierarchical Multiple Models Neural Network Decoupling Controller for a Nonlinear System. - Xin Wang 012; Hui Yang 005 (ICONIP (3), 2006)

Multiple Neural Network Modeling Method for Carbon and Temperature Estimation in Basic Oxygen Furnace. - Xin Wang 012; Zhongjie Wang; Jun Tao (ISNN (2), 2006)

A mixed Logic Enhanced Multi-Model Switching Predictive controller for nonlinear Dynamic Process. - Tao Zou 005; Xin Wang 012; Shaoyuan Li; Quan Min Zhu (Control. Intell. Syst., 2007)

Neural network based controller design for three-phase PWM AC/DC voltage source converters. - Wenxin Liu 001; Li Liu 007; David A. Cartes; Xin Wang 012 (IJCNN, 2008)

A Nonlinear Hierarchical Multiple Models Neural Network Decoupling Controller. - Xin Wang 012; Hui Yang 005; Shaoyuan Li; Wenxin Liu 001; Li Liu 007; David A. Cartes (ISNN (2), 2008)

Multiple models adaptive feedforward decoupling controller using HDBD focus. - Xin Wang 012; Hui Yang 005; Shaoyuan Li; Yihui Zheng (CDC, 2009)

Multivariable direct adaptive decoupling controller using multiple models and a case study. - Xin Wang 012; Hui Yang 005; Yihui Zheng (Sci. China Ser. F Inf. Sci., 2009)

Multiple models robust adaptive control with reduced model. - Jiazhen Liu; Zhenlei Wang; Xin Wang 012; Dahai Wang; Feng Qian (ICCA, 2010)

Research on insect identification based on pattern recognition technology. - Huiyong Yang; Wei Liu; Kun Xing; Jian Qiao; Xin Wang 012; Lingwang Gao; Zuorui Shen (ICNC, 2010)

An adaptive optimal clustering number algorithm for FKCM. - Guihua Chen; Zhenlei Wang; Xin Wang 012; Feng Qian (FSKD, 2011)

Ultra-Short Term Prediction of Wind Power Based on Multiples Model Extreme Leaning Machine. - Ting Huang; Xin Wang 012; Lixue Li; Lidan Zhou; Gang Yao (ISNN (3), 2011)

Reactive Power Optimization Based on Particle Swarm Optimization Algorithm in 10kV Distribution Network. - Chao Wang; Gang Yao; Xin Wang 012; Yihui Zheng; Lidan Zhou; Qingshan Xu; Xinyuan Liang (ICSI (1), 2011)

Short-Term Wind Power Prediction Based on Wavelet Decomposition and Extreme Learning Machine. - Xin Wang 012; Yihui Zheng; Lixue Li; Lidan Zhou; Gang Yao; Ting Huang (ISNN (2), 2012)

Multiple Model Predictive Control of Component Content in Rare Earth Extraction Process. - Hui Yang 005; Rongxiu Lu; Kunpeng Zhang; Xin Wang 012 (J. Comput., 2012)

Distributed Multiple Agent System Based Online Optimal Reactive Power Control for Smart Grids. - Wei Zhang 111; Wenxin Liu 001; Xin Wang 012; Liming Liu; Frank T. Ferrese (IEEE Trans. Smart Grid, 2014)

The study of hybrid modulation based on cascade SVG and its DC control method. - Gang Yao; Luan He; Xin Wang 012; Lidan Zhou; Hua-Jun Yu (CCECE, 2015)

Multiple model self-tuning control for a class of nonlinear systems. - Miao Huang; Xin Wang 012; Zhenlei Wang (Int. J. Control, 2015)

Fault detection for a class of industrial processes based on recursive multiple models. - Yong Gao; Xin Wang 012; Zhenlei Wang (Neurocomputing, 2015)

Multiple Model Adaptive Control for a Class of Linear-Bounded Nonlinear Systems. - Miao Huang; Xin Wang 012; Zhenlei Wang (IEEE Trans. Autom. Control., 2015)

Constrained optimization based on improved teaching-learning-based optimization algorithm. - Kunjie Yu; Xin Wang 012; Zhenlei Wang (Inf. Sci., 2016)

An improved teaching-learning-based optimization algorithm for numerical and engineering optimization problems. - Kunjie Yu; Xin Wang 012; Zhenlei Wang (J. Intell. Manuf., 2016)

Multiple learning particle swarm optimization with space transformation perturbation and its application in ethylene cracking furnace optimization. - Kunjie Yu; Xin Wang 012; Zhenlei Wang (Knowl. Based Syst., 2016)

Input-to-state stability of discrete-time switched systems and switching supervisory control. - Miao Huang; Longhua Ma; GuangZhou Zhao; Xin Wang 012; Zhenlei Wang (CCTA, 2017)

Cyclic scheduling for an ethylene cracking furnace system using diversity learning teaching-learning-based optimization. - Kunjie Yu; Lyndon While; Mark Reynolds 001; Xin Wang 012; Zhenlei Wang (Comput. Chem. Eng., 2017)

Multiple model adaptive control for a class of nonlinear systems with unknown control directions. - Miao Huang; Xin Wang 012; Zhe-Ming Lu 001; Longhua Ma; Hongye Su; Lang Wang (Int. J. Control, 2019)

Multiple model-based event-triggered adaptive control of a class of discrete-time nonlinear systems. - Miao Huang; Xin Wang 012; Zhe-Ming Lu 001; Longhua Ma; Ming Xu 013; Hongye Su (Int. J. Syst. Sci., 2019)

Adaptive State Safety Control Design for Uncertain Discrete-Time Nonlinear Systems. - Yanqi Zhang; Xin Wang 012; Zhenlei Wang (IEEE Control. Syst. Lett., 2022)

Adaptive modified prescribed performance constraint control for uncertain nonlinear discrete-time systems. - Yanqi Zhang; Zhenlei Wang; Xin Wang 012 (Appl. Math. Comput., 2023)

Adaptive multiple model control for a class of nonlinear discrete time systems: second-level adaption design approach. - Yanqi Zhang; Xin Wang 012; Zhenlei Wang (Int. J. Control, 2023)

Discrete-Time Adaptive Fuzzy Finite-Time Tracking Control for Uncertain Nonlinear Systems. - Yanqi Zhang; Xin Wang 012; Zhenlei Wang (IEEE Trans. Fuzzy Syst., 2024)

Removing the Feasibility Conditions Imposed on Full-State Constraint Control Design for Discrete-Time Nonlinear Systems. - Yanqi Zhang; Xin Wang 012; Zhenlei Wang (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Exact Reconstruction of State and Disturbance for General Linear Systems Under Relaxed Conditions. - Guanghao Su; Zhenlei Wang; Xin Wang 012; Xuejie Que; Hongchao Song (IEEE Trans. Instrum. Meas., 2025)