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 11
Issue 7
IEEE/CAA Journal of Automatica Sinica
| Citation: | S. Tong, D. Qian, K. Yuan, D. Liu, Y. Li, and J. Zhang, “Fuzzy-inverse-model-based networked tracking control frameworks of time-varying signals,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 7, pp. 1708–1710, Jul. 2024. doi: 10.1109/JAS.2024.124293
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Q. Mao, Y. Xu, J. Chen, and T. T. Georgiou, “Implementation-oriented filtered PID control: Optimization of robustness margins,” Automatica, vol. 152, p. 110974, 2023. doi: 10.1016/j.automatica.2023.110974
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I. Nașcu, N. A. Diangelakis, S. G. Muñoz, and E. N. Pistikopoulos, “Advanced model predictive control strategies for evaporation processes in the pharmaceutical industries,” Computers &Chemical Engineering, vol. 173, p. 108212, 2023.
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| [3] |
V. C. Jorge, P. L. Andres, S. Víctor, F. H. Ramón, and Z. R. Arturo, “Continuous finite-time fuzzy control of mechanical systems via non-Lipschitz membership functions,” Engineering Applications of Artificial Intelligence, vol. 126, p. 106804, 2023.
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S. Das, G. T. Khan, and N. P. Sing, “Adaptive neural network control of DC-DC power converter,” Expert Systems With Applications, vol. 229, p. 120362, 2023.
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Z. Yan, X. Lai, Q. Meng, J. She, and M. Wu, “Time-varying disturbance-observer-based tracking control of uncertain flexible-joint manipulator,” Control Engin. Practice, vol. 139, p. 105624, 2023. doi: 10.1016/j.conengprac.2023.105624
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Z. Qu, Z. Du, Y. Kao, and Z. Wu, “Fuzzy event-triggered tracking control for nonlinear unreliable networked systems,” ISA Trans., vol. 133, pp. 205–217, 2022.
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Z. Pang, G. Liu, D. Zhou, and M. Chen, “Output tracking control for networked systems: A model-based prediction approach,” IEEE Trans. Industrial Electronics, vol. 61, no. 9, pp. 4867–4877, 2014. doi: 10.1109/TIE.2013.2289890
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X. Liu, X. Yu, G. Ma, and H. Xi, “On sliding mode control for networked control systems with semi-Markovian switching and random sensor delays,” Inform. Sciences, vol. 337, pp. 44–58, 2016.
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R. Babuska, Fuzzy Modeling for Control, New York, USA: Springer Science+Business Media, LLC, 1998.
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S. Tong, D. Qian, N. Huang, G. Liu, J. Zhang, and G. Cheng, “Adaptive tracking design of NCS with time-varying signals using fuzzy inverse model,” Int. J. Control Autom. and Systems, vol. 19, no. 11, pp. 3801–3811, 2021. doi: 10.1007/s12555-020-0114-5
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S. Tong, D. Qian, X. Yan, J. Fang, and W. Liu, “Design of a networked tracking control system with a data-based approach,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 5, pp. 1261–1267, 2019. doi: 10.1109/JAS.2018.7511093
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