A journal of IEEE and CAA , publishes
high-quality papers in English on original
theoretical/experimental research
and development in all areas of automation
Volume 10
Issue 11
IEEE/CAA Journal of Automatica Sinica
| Citation: | J. Y. Yang, Y. J. Zhang, T. Yildirim, and J. W. Zhang, “A model predictive control algorithm based on biological regulatory mechanism and operational research,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 11, pp. 2174–2176, Nov. 2023. doi: 10.1109/JAS.2023.123303
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J. Testud, J. Richalet, A. Rault, and J. Papon, “Model predictive heuristic control: Applications to industial processes,” Automatica, vol. 14, no. 5, pp. 413–428, 1978. doi: 10.1016/0005-1098(78)90001-8
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H. Yu et al., “Nonparametric model prediction for intelligent regulation of human cardiorespiratory system to prescribed exercise medicine,” IEEE Access, vol. 8, pp. 224621–224630, 2020. doi: 10.1109/ACCESS.2020.3042542
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J. Liu, Y. Gu, Y. Cheng, and X. Wang, “Prediction of breast cancer pathogenic genes based on multi-agent reinforcement learning,” Acta Autom. Sinica, vol. 48, pp. 1–13, 2022.
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| [4] |
R. R. Nair and L. Behera, “Robust adaptive gain higher order sliding mode observer based control-constrained nonlinear model predictive control for spacecraft formation flying,” IEEE/CAA J. Autom. Sinica, vol. 5, no. 1, pp. 367–381, Jan. 2018. doi: 10.1109/JAS.2016.7510253
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| [5] |
G. Miloud, S. Hicham, and B. Youcef, “Sensorless speed control of synchronous reluctance motors using model predictive control associated with model reference adaptive system,” in Proc. IEEE 1st Int. Maghreb Meeting Conf. Sciences and Techniques of Autom. Control and Computer Engineering MI-STA, 2021, pp. 230–233.
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M. Wang, Y. Wang, T. Chai, and X. Zhang, “External generalized predictive cascade control for main steam temperature based on weight factor self-regulating,” Acta Autom. Sinica, vol. 48, no. 2, pp. 418–433, 2022.
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Y. Cheng, L. Huang, and X. Wang, “Authentic boundary proximal policy optimization,” IEEE Trans. Cyber., 2021.
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J. Salt, J. Alcaina, Á. Cuenca, and A. Baños, “Multirate control strategies for avoiding sample losses. Application to UGV path tracking,” ISA Trans., vol. 101, pp. 130–146, 2020. doi: 10.1016/j.isatra.2020.01.025
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G. Xia, Y. Hua, X. Tang, L. Zhao, and W. Chen, “Internal-model control of vehicle chassis based on wavelet-network dynamic inversion method,” Int. J. Vehicle Autonomous Syst., vol. 14, no. 2, pp. 170–195, 2018. doi: 10.1504/IJVAS.2018.096157
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Q. Yang, J. Sun, and J. Chen, “Output consensus for heterogeneous linear multiagent systems with a predictive event-triggered mechanism,” IEEE Trans. Cyber., vol. 51, no. 4, pp. 1993–2005, 2021. doi: 10.1109/TCYB.2019.2895044
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| [11] |
X. Zhang, Z. Yuan, H. Cui, and P. Luo, “Application of neural network predictive control in cement combined grinding,” in Proc. Chinese Control And Decision Conf., 2020, pp. 2414–2418.
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| [12] |
J. Thomas and A. Hansson, “Enumerative nonlinear model predictive control for linear induction motor using load observer,” in Proc. UKACC Int. Conf. Control, 2014, pp. 373–377.
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| [13] |
F. Yang, Y. Shi, Y. Zhang, L. Liu, and W. Guan, “Research on the control of the yellow river diversion project based on the decentralized model predictive control,” in Proc. 32nd Youth Academic Annual Conf. Chinese Association of Automation, 2017, pp. 681–686.
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| [14] |
A. Islam, “Model predictive control for flood regulation,” in Proc, Int. Conf. Intelligent Computing, Instrumentation and Control Technologies, 2017, pp. 275–279.
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