1. Duriez, T., Brunton, S.L., Noack, B.R.: Machine Learning Control - Taming Nonlinear Dynamics and Turbulence, Fluid Mechanics and Its Applications, vol. 116. Springer, Cham (2017). 212 p. https://doi.org/10.1007/978-3-319-40624-4
2. Koza, J.R.: Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge (1992). 819 p
3. Goodfellow, I., Benjio, Y., Courville, A.: Deep Learning. The MIT Press, Cambridge (2016). 788 p. ISBN-978-1-491-937990
4. Diveev, A.I.: Numerical methods for solution of the control synthesis problem. Chislennye metody reshenia zadachi sinteza upravlenia. Moscow RUDN Publishing (2019). 192 p. (in Russian)
5. Koza, J.R., Keane, M.A., Mydlowec J.Yu.W., Bennett III, F.H.: Automatic synthesis of both the control law and parameters for a controller for a three-lag plant with five-second delay using genetic programming and simulation techniques. In: Proceedings of the American Control Conference Chicago, Illinois, pp. 453–458, June 2000