Bioinspired PID Controller Based on Izhikevich Neurons Optimized by Differential Evolution for Neuromorphic Implementations
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-49401-7_11
Reference18 articles.
1. Borase, R.P., Maghade, D.K., Sondkar, S.Y., Pawar, S.N.: A review of PID control, tuning methods and applications. Int. J. Dynam. Cont. 9(2), 818–827 (2020)
2. Webb, A., Davies, S., & Lester, D.: Spiking neural PID controllers. Lecture Notes in Com-puter Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7064 LNCS(PART 3), 259–267 (2011)
3. Faccin, F.: Abordagem Inovadora no Projeto de Controladores PID. Universidade Federal do Rio Grande do Sul (2004)
4. Pérez, J., Cabrera, J.A., Castillo, J.J.: Bio-inspired spiking neural network for nonlinear systems control. Neural Netw. 104, 15–25 (2018)
5. Mie, S., Okuyama, Y., & Saito, H.: Simplified quadcopter simulation model for spike-based hardware PID controller using SystemC-AMS. In: 12th International Symposium on Em-bedded Multicore/Many-Core Systems-on-Chip on Proceedings IEEE, MCSoC 1, pp. 23–27 (2018)
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