Artificial Intelligence Algorithm for Optimizing PID Parameters to Control Weakly Damped Systems
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-47721-8_49
Reference16 articles.
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3. Qi, Z., Shi, Q., Zhang, H.: Tuning of digital PID controllers using particle swarm optimization algorithm for a CAN-based DC motor subject to stochastic delays. IEEE Trans. Industr. Electron. 67(7), 5637–5646 (2019)
4. Zamani, M., Sadati, N., Ghartemani, M.K.: Design of an H∞ PID controller using particle swarm optimization. Int. J. Control., Autom. Syst. 7(2), 273–280 (2009)
5. Liang, H., et al.: High precision temperature control performance of a pid neural network-controlled heater under complex outdoor conditions. Appl. Therm. Eng., 117234 (2021)
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