Optimized Intelligent PID Controller for Propofol Dosing in General Anesthesia Using Coati Optimization Algorithm
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62814-6_16
Reference23 articles.
1. Hattim, L., Karam, E.H., Issa, A.H.: Implementation of selftune single neuron PID controller for depth of anesthesia by FPGA. In: Al-mamory, S., Alwan, J., Hussein, A. (eds.) New Trends in Information and Communications Technology Applications. NTICT 2018. CCIS, vol. 938, pp. 159–170. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-01653-1_10
2. Schiavo, M., Padula, F., Latronico, N., Paltenghi, M., Visioli, A.: A modified PID-based control scheme for depth-of-hypnosis control: Design and experimental results. Comput. Methods Programs Biomed. 219, 106763(2022)
3. Dang, T.L., Hoshino, Y.: An-FPGA based classification system by using a neural network and an improved particle swarm optimization algorithm. In: 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 25–28 August 2016, Sapporo, Japan, pp. 97–102. IEEE (2016). https://doi.org/10.1109/SCIS-ISIS.2016.0033
4. Pawłowski, A., Schiavo, M., Latronico, N., Paltenghi, M., Visioli, A.: Model predictive control using MISO approach for drug co-administration in anesthesia. J. Process Control 117, 98–111 (2022)
5. Khaqan, A., Bilal, M., Ilyas, M., Ijaz, B., Ali Riaz, R.: Control law design for propofol infusion to regulate depth of hypnosis: a nonlinear control strategy. J. Comput. Math. Methods Med. 2016, 1810303 (2016)
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