[1] Grüne L,Pannek J. Nonlinear model predictive control[J]. Process Automation Handbook,2011,3(3-4):43-66.
[2]Diehl M,Bock H G,Schl?der J P,et al. Real-time optimization and nonlinear model predictive control of processes governed by differential-algebraic equations[J]. Journal of Process Control,2002,12(4):577-585.
[3]郑涛,何德峰,陈薇,等. 快速阶梯式非线性预测控制[J]. 系统仿真学报,2007,19(22):5206-5209.
Zheng Tao,He Defeng,Chen Wei,et al. Fast stair-like nonlinear model predictive control algorithm[J]. Journal of System Simulation,2007,19(22):5206-5209.
[4]郑涛,吴刚,刘光宏. 分层多目标非线性预测控制[J]. 江南大学学报(自然科学版),2010,9(4):440-443.
Zheng Tao,Wu Gang,Liu Guanghong. Stratified multi-objective nonlinear model predictive control[J]. Journal of Jiangnan University of Science and Technology,2010,9(4):440-443.
[5]Pan Y,Wang J. Two neural network approaches to model predictive control[C]//2008 American Control Conference. Seattle,USA:IEEE,2008:1685-1690.
[6]Wang T,Gao H,Qiu J. A combined adaptive neural network and nonlinear model predictive control for multirate networked industrial process control[J]. IEEE Transactions on Neural Networks & Learning Systems,2016,27(2):416-425.
[7]Chakrabarty A,Dinh V,Corless M J,et al. Support vector machine informed explicite nonlinear model predictive control using low-discrepancy sequences[J]. IEEE Transactions on Automatic Control,2016,62(1):135-148.
[8]冯凯,卢建刚,陈金水. 基于最小二乘支持向量机的MIMO线性参数变化模型辨识及预测控制[J]. 化工学报,2015(1):197-205.
Feng Kai,Lu Jiangang,Chen Jinshui. Identification and model predictive control of LPV models based on LS-SVM for MIMO system[J]. Journal of Chemical Industry and Engineering,2015(1):197-205.
[9]Yan Z,Wang J. Robust model predictive control of nonlinear systems with unmodeled dynamics and bounded uncertainties based on neural networks[J]. IEEE Transactions on Neural Networks & Learning Systems,2014,25(3):457-469.
[10]关长亮,王贵成. 基于误差补偿的谷氨酸发酵过程模型预测控制研究[J]. 沈阳化工大学学报,2016,30(1):70-75.
Guan Changliang,Wang Guicheng. Model predictive control based on error compensation for glutamic acid fermentation process[J]. Journal of Shenyang University of Chemical Technology,2016,30(1):70-75.
[11]张文,孙瑞胜. EKF与UKF的性能比较及应用[J]. 南京理工大学学报,2015(5):614-618.
Zhang Wen,Sun Ruisheng. Research on performance comparison of EKF and UKF and their application[J].Journal of Nanjing University of Science and Technology,2015(5):614-618.
[12]杨兆军,杨川贵,陈菲,等. 基于最小二乘算法和SVDUKF算法的电液伺服加载优化[J]. 吉林大学学报(工),2014,44(2):392-397.
Yang Zhaojun,Yang Chuangui,Chen Fei,et al. Optimization of the electro-hydraulic servo loading based on least square and SVDUKF algorithms[J]. Journal of Jilin University(Engineering and Technology Edition),2014,44(2):392-397.