|
[1]
|
Cutler C R, Perry R T. Real time optimization with multivariable control is required to maximize profits. Computers & Chemical Engineering, 1983, 7(5): 663-667
|
|
[2]
|
Dai Wei, Chai Tian-You. Data-driven optimal operational control of complex grinding processes. Acta Automatica Sinica, 2014, 40(9): 2005-2014(代伟, 柴天佑. 数据驱动的复杂磨矿过程运行优化控制方法. 自动化学报, 2014, 40(9): 2005-2014)
|
|
[3]
|
Chai Tian-You. Challenges of optimal control for plant-wide production processes in terms of control and optimization theories. Acta Automatica Sinica, 2009, 35(6): 641-648(柴天佑. 生产制造全流程优化控制对控制与优化理论方法的挑战. 自动化学报, 2009, 35(6): 641-648)
|
|
[4]
|
Chai T Y, Ding J L, Wu F H. Hybrid intelligent control for optimal operation of shaft furnace roasting process. Control Engineering Practice, 2011, 19(3): 264-275
|
|
[5]
|
Chai Tian-You, Ding Jin-Liang, Wang Hong, Su Chun-Yi. Hybrid intelligent optimal control method for operation of complex industrial processes. Acta Automatica Sinica, 2008, 34(5): 505-515(柴天佑, 丁进良, 王宏, 苏春翌. 复杂工业过程运行的混合智能优化控制方法. 自动化学报, 2008,34(5): 505-515)
|
|
[6]
|
Skogestad S. Self-optimizing control: the missing link between steady-state optimization and control. Computers & Chemical Engineering, 2000, 24(2-7): 569-575
|
|
[7]
|
Skogestad S. Plantwide control: the search for the self-optimizing control structure. Journal of Process Control, 2000, 10(5): 487-507
|
|
[8]
|
Chai T Y, Zhao L, Qiu J B, Liu F Z, Fan J L. Integrated network-based model predictive control for setpoints compensation in industrial processes. IEEE Transactions on Industrial Informatics, 2013, 9(1): 417-426
|
|
[9]
|
Yin S, Luo H, Ding S X. Real-time implementation of fault-tolerant control systems with performance optimization. IEEE Transactions on Industrial Electronics, 2014, 61(5): 2402-2411
|
|
[10]
|
Rahbar K, Xu J, Zhang R. Real-time energy storage management for renewable integration in microgrid: an off-line optimization approach. IEEE Transactions on Smart Grid, 2015, 6(1): 124-134
|
|
[11]
|
Chai Tian-You. Operational optimization and feedback control for complex industrial processes. Acta Automatica Sinica, 2013, 39(11): 1744-1757(柴天佑. 复杂工业过程运行优化与反馈控制. 自动化学报, 2013,39(11): 1744-1757)
|
|
[12]
|
Li H X, Guan S P. Hybrid intelligent control strategy. Supervising a DCS-controlled batch process. IEEE Control Systems, 2001, 21(3): 36-48
|
|
[13]
|
Wang Z J, Wu Q D, Chai T Y. Optimal-setting control for complicated industrial processes and its application study. Control Engineering Practice, 2004, 12(1): 65-74
|
|
[14]
|
Yang C H, Gui W H, Kong L S, Wang Y L. A two-stage intelligent optimization system for the raw slurry preparing process of alumina sintering production. Engineering Applications of Artificial Intelligence, 2009, 22(4-5): 786-795
|
|
[15]
|
Wang T, Gao H J, Qiu J B. A combined adaptive neural network and nonlinear model predictive control for multirate networked industrial process control. IEEE Transactions on Neural Networks and Learning Systems, 2015, (99), DOI: 10.1109/TNNLS.2015.2411671
|
|
[16]
|
Boyd S, El Ghaoui L, Feron E, Balakrishnan V. Linear Matrix Inequalities in Systems and Control Theory. USA: SIAM Studies in Applied Mathematics, 1994
|
|
[17]
|
Harris C C. Multiphase models of flotation machine behaviour. International Journal of Mineral Processing, 1978, 5(2): 107-129
|
|
[18]
|
Thornton A J. The Application and Future Development of Adaptive Control to the Froth Flotation Process [Ph.D. dissertation], The University of Queensland, Australia, 2015.
|
|
[19]
|
Maldonado M, Sbarbaro D, Lizama E. Optimal control of a rougher flotation process based on dynamic programming. Minerals Engineering, 2007, 20(3): 221-232
|
|
[20]
|
Liu F Z, Gao H J, Qiu J B, Yin S, Fan J L, Chai T Y. Networked multirate output feedback control for setpoints compensation and its application to rougher flotation process. IEEE Transactions on Industrial Electronics, 2014, 61(1): 460-468
|
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