[1] |
Ding Xiaodi, Cui Baotong. Adaptive control of smith predictor with uncertain parameters [J]. Computer Engineering and Design, 2016(11): 3007-3011. (in Chinese) |
[2] |
Saravanakumar G, Wahidabanu R S D, Arunraajesh K G. Performance analysis of modified smith predictor for integrating and time-delay processes [J]. Indian Chemical Engineer, 2011, 53(4): 261-270. doi: 10.1080/00194506.2011.670934 |
[3] |
Lei Z, Guo C. Disturbance rejection control solution for ship steering system with uncertain time delay [J]. Ocean Engineering, 2015, 95: 78-83. doi: 10.1016/j.oceaneng.2014.12.001 |
[4] |
Normey-Rico J E, Sartori R, Veronesi M, et al. An automatic tuning methodology for a unified dead-time compensator [J]. Control Engineering Practice, 2014, 27(5): 11-22. |
[5] |
Tsai M H, Tung P C. A robust disturbance reduction scheme for linear small delay systems with disturbances of unknown frequencies. [J]. Isa Transactions, 2012, 51(3): 362-372. doi: 10.1016/j.isatra.2011.12.002 |
[6] |
Rong H G, Hui Z, Li Z Q, et al. Tuning of fuzzy PID controller for smith predictor [J]. Journal of Central South University, 2010, 17(3): 566-571. doi: 10.1007/s11771-010-0524-2 |
[7] |
Zhang H, Hu J, Bu W. Research on fuzzy immune self-adaptive PID algorithm based on new smith predictor for networked control system [J]. Mathematical Problems in Engineering, 2015(10): 1-6. |
[8] |
Zhang Lei, Zhu Shuai, Liu Tianyu, et al. Target tracking of spatial dense group based on motion grouping [J]. Infrared and Laser Engineering, 2020, 49(11): 20200284. (in Chinese) |
[9] |
Xu Yunfei, Zhang Duzhou, Wang Li, et al. Design of lightweight feature fusion network for local feature recognition of non-cooperative target [J]. Infrared and Laser Engineering, 2020, 49(7): 20200170. (in Chinese) |
[10] |
Huo Ju, He Mingxuan, Li Yunhui, et al. Three-dimensional trajectory tracking and recognition for multiple aircraft with consistent displacement vectors [J]. Infrared and Laser Engineering, 2020, 49(10): 20200141. (in Chinese) |
[11] |
Xiong P P, Dang Y G, Wu X H, et al. Combined model based on optimized multi-variable grey model and multiple linear regression [J]. Journal of Systems Engineering and Electronics, 2011, 22(4): 615-620. |
[12] |
曾波. 灰色预测建模技术研究[D]. 南京航空航天大学, 2012.
Zeng Bo. Research on grey prediction modeling technology[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2012. (in Chinese) |
[13] |
Zeng B, Liu S, Xie N. Prediction model of interval grey number based on DGM (1,1) [J]. Journal Systems Engineering and Electronics, 2010, 21(4): 598-603. |
[14] |
Li Mengwan, Sha Xiuyan. Improvement and application of grey prediction model based on GM(1,1) [J]. Computer Engineering and Applications, 2016, 52(4): 24-30. (in Chinese) doi: 10.3778/j.issn.1002-8331.1506-0257 |
[15] |
Wang Y, Dang Y, Li Y, et al. An approach to increase prediction precision of GM(1,1) model based on optimization of the initial condition [J]. Expert Systems with Applications An International Journal, 2010, 37(8): 5640-5644. doi: 10.1016/j.eswa.2010.02.048 |
[16] |
Wang Z X, Wang Z W, Li Q. Forecasting the industrial solar energy consumption using a novel seasonal GM(1,1) model with dynamic seasonal adjustment factors [J]. Energy, 2020, 200: 117460. |