Remote control robot system based on predictive algorithm

Fenggang Liu; Lei Ding; Li Xiao

doi:10.3788/IRLA20210109

[1] Xiaodi Ding, Baotong Cui. Adaptive control of smith predictor with uncertain parameters. Computer Engineering and Design, 3007-3011(2016).

[2] G Saravanakumar, R S D Wahidabanu, K G Arunraajesh. Performance analysis of modified smith predictor for integrating and time-delay processes. Indian Chemical Engineer, 53, 261-270(2011).

[3] Z Lei, C Guo. Disturbance rejection control solution for ship steering system with uncertain time delay. Ocean Engineering, 95, 78-83(2015).

[4] J E Normey-Rico, R Sartori, M Veronesi, et al. An automatic tuning methodology for a unified dead-time compensator. Control Engineering Practice, 27, 11-22(2014).

[5] M H Tsai, P C Tung. A robust disturbance reduction scheme for linear small delay systems with disturbances of unknown frequencies.. Isa Transactions, 51, 362-372(2012).

[6] H G Rong, Z Hui, Z Q Li, et al. Tuning of fuzzy PID controller for smith predictor. Journal of Central South University, 17, 566-571(2010).

[7] H Zhang, J Hu, W Bu. Research on fuzzy immune self-adaptive PID algorithm based on new smith predictor for networked control system. Mathematical Problems in Engineering, 1-6(2015).

[8] Lei Zhang, Shuai Zhu, Tianyu Liu, et al. Target tracking of spatial dense group based on motion grouping. Infrared and Laser Engineering, 49, 20200284(2020).

[9] Yunfei Xu, Duzhou Zhang, Li Wang, et al. Design of lightweight feature fusion network for local feature recognition of non-cooperative target. Infrared and Laser Engineering, 49, 20200170(2020).

[10] Ju Huo, Mingxuan He, Yunhui Li, et al. Three-dimensional trajectory tracking and recognition for multiple aircraft with consistent displacement vectors. Infrared and Laser Engineering, 49, 20200141(2020).

[11] P P Xiong, Y G Dang, X H Wu, et al. Combined model based on optimized multi-variable grey model and multiple linear regression. Journal of Systems Engineering and Electronics, 22, 615-620(2011).

[12] Zeng Bo. Research on grey prediction modeling technology[D]. Nanjing: Nanjing University of Aeronautics Astronautics, 2012. (in Chinese)

[13] B Zeng, S Liu, N Xie. Prediction model of interval grey number based on DGM (1,1). Journal Systems Engineering and Electronics, 21, 598-603(2010).

[14] Mengwan Li, Xiuyan Sha. Improvement and application of grey prediction model based on GM(1,1). Computer Engineering and Applications, 52, 24-30(2016).

[15] Y Wang, Y Dang, Y Li, et al. An approach to increase prediction precision of GM(1,1) model based on optimization of the initial condition. Expert Systems with Applications An International Journal, 37, 5640-5644(2010).

[16] Z X Wang, Z W Wang, Q Li. Forecasting the industrial solar energy consumption using a novel seasonal GM(1,1) model with dynamic seasonal adjustment factors. Energy, 200, 117460(2020).