[1] |
Qin S J, Badgwell T A. A survey of industrial model predictive control technology[J]. Control Engineering Practice, 2003, 11(7): 733-764.
|
[2] |
Zhu Y C, Xu Z H, Zhao J, et al. Development and application of an integrated MPC technology[C]//Proceedings of the 17th IFAC World Congress. San Diego, USA: IFAC, 2008: 6962-6967.
|
[3] |
Zhu Y C, Patwardhan R, Wagner S B, et al. Towards a low cost and high performance MPC: The role of system identification[J]. Computers & Chemical Engineering, 2013, 51(1): 124-135.
|
[4] |
Richalet J. Industrial applications of model based predictive control[J]. Automatica, 1993, 29(5): 1251-1274.
|
[5] |
Zhu Y C. Multivariable process identification for MPC: The asymptotic method and its applications[J]. Journal of Process Control, 1998, 8(2): 101-115.
|
[6] |
王建国, 王娟娟, 郭勇. 基于正交投影的滚动窗口递推闭环子空间辨识[J]. 信息与控制, 2014, 43(1): 56-62. Wang J G, Wang J J, Guo Y. Scroll-window recursive subspace identification methods for closed-loop system based on orthogonal projection[J]. Information and Control, 2014, 43(1): 56-62.
|
[7] |
李晓华, 李军. 基于ESN 网络的连续搅拌反应釜(CSTR)辨识[J]. 信息与控制, 2014, 43(2): 223-228. Li X H, Li J. Identification of continuous stirred tank reactor based on echo state network[J]. Information and Control, 2014, 43(2): 223-228.
|
[8] |
Akpan V A, Hassapis G D. Nonlinear model identification and adaptive model predictive control using neural networks[J]. ISA Transactions, 2011, 50(2): 177-194.
|
[9] |
Aggelogiannaki E, Doganis P, Sarimveis H. An adaptive model predictive control configuration for production-inventory systems[J]. International Journal of Production Economics, 2008, 114(1): 165-178.
|
[10] |
Karra S, Shaw R, Patwardhan S C, et al. Adaptive model predictive control of multivariable time-varying systems[J]. Industrial and Engineering Chemistry Research, 2008, 47(8): 2708-2720.
|
[11] |
Li T, Georgakis C. Dynamic input signal design for the identification of constrained systems[J]. Journal of Process Control, 2008, 18(3/4): 332-346.
|
[12] |
Ji G L, Zhang K K, Zhu Y C. A method of MPC model error detection[J]. Journal of Process Control, 2012, 22(3): 635-642.
|
[13] |
Kalafatis A, Patel K, Harmse M, et al. Multivariable step testing for MPC projects reduces crude unit testing time[J]. Hydrocarbon Processing, 2006, 85(2): 93-100.
|
[14] |
Li S Y, Cai W J, Mei H, et al. Robust decentralized parameter identification for two-input two-output process from closed-loop step responses[J]. Control Engineering Practice, 2005, 13(4): 519-531.
|
[15] |
Nandola N N, Bhartiya S. A multiple model approach for predictive control of nonlinear hybrid systems[J]. Journal of Process Control, 2008, 18(2): 131-148.
|
[16] |
Wang Q G, Zhang Y. Robust identification of continuous systems with dead-time from step responses[J]. Automatica, 2001, 37(3): 377-390.
|
[17] |
薛振框, 李少远. 基于模型有效匹配的多模型切换控制[J]. 上海交通大学学报, 2005, 39(3): 353-356. Xue Z K, Li S Y. Multiple models switching control based on effective model matching[J]. Journal of Shanghai Jiaotong University, 2005, 39(3): 353-356.
|
[18] |
韩曾晋. 自适应控制[M]. 北京: 清华大学出版社, 1995. Han Z J. Adaptive control[M]. Beijing: Tsinghua University Press, 1995.
|
[19] |
朱豫才. 过程控制的多变量系统辨识[M]. 长沙: 国防科技大学出版社, 2005: 34-35. . Zhu Y C. Multivariable system identification for process control[M]. Changsha: National University of Defense Technology Press, 2005: 34-35.
|
[20] |
Karra S, Karim M N. Alternative model structure with simplistic noise model to identify linear time invariant systems subjected to non-stationary disturbances[J]. Journal of Process Control, 2009, 19(6): 964-977.
|