Application of Optimum Adaptive Generalized Predictive Control to Green Tea Drying

Author:

Fam K. B.,Murashev P. M.,Bogatikov V. N.

Publisher

Pleiades Publishing Ltd

Subject

Computer Vision and Pattern Recognition

Reference12 articles.

1. A. Alexandrov and M. Palenov, “Self-Tuning PID-I Controller,” IFAC Proc. Volumes  44, 3635–3640 (2011). https://doi.org/10.3182/20110828-6-it-1002.00439

2. M. P. Belov, T. H. Phuong, and D. V. Thuy, “Adaptive predictive control of servo drives of nonlinear systems with elastic links,” Izv. S.-Peterb. Gos. Elektrotekh. Univ. LETI, No. 3, 84–94 (2019).

3. G. E. P. Box and K. B. Wilson, “On the experimental attainment of optimum conditions,” in Breakthroughs in Statistics, Ed. by S. Kotz and N. L. Johnson, Springer Series in Statistics (Springer, New York, 1992), pp. 270–310. https://doi.org/10.1007/978-1-4612-4380-9_23

4. K. B. Fam and V. N. Bogatikov, “Research of the dynamic properties of the control system with fuzzy controllers of the green tea drying process,” in Integrated Models and Soft Computing in Artificial Intelligence IMMV-2022, Kolomna, Moscow oblast, 2022 (Ross. Assots. Iskusstvennogo Intellekta, Pereslavl-Zalessky, Yaroslavl oblast, 2022), Vol. 1, pp. 145–155.

5. S. B. Khasanova, “Experimental and theoretical substantiation of the creation and standardization of medicinal herbal preparations with antioxidant activity,” in Doctoral Dissertation in Pharmacy (Bashkir State Medical University, Ufa, 2016).

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