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Bao-Zhu, G., & Tao-Tao, W. U. (2017). Numerical solution to optimal feedback control by dynamic programming approach: a local approximation algorithm. Journal of Systems Science & Complexity, 30(4), 782-802.Search in Google Scholar
GUO, Bao-Zhu, WU, Tao-Tao, Academy, & of, et al. (2017). Numerical solution to optimal feedback control by dynamic programming approach:a local approximation algorithm. Journal of Systems Science & Complexity, 04(v.30), 36-56.Search in Google Scholar
Hua, Zhou, Peng-Yu, Zhao, Ying-Long, & Chen, et al. (2017). Prediction-based stochastic dynamic programming control for excavator - sciencedirect. Automation in Construction, 83, 68-77.Search in Google Scholar
Liu, S. G. Y. (2021). A quantum computing-based numerical method of mixed-integer optimal control problems under uncertainty for alkali-surfactant-polymer flooding. Engineering Optimization, 53(1a3).Search in Google Scholar
Wei, Q., Liu, D., Lewis, F. L., Liu, Y., & Zhang, J. (2017). Mixed iterative adaptive dynamic programming for optimal battery energy control in smart residential microgrids. Industrial Electronics, IEEE Transactions on, 64(5), 4110-4120.Search in Google Scholar
Sui, S., Tong, S., & Sun, K. (2018). Adaptive‐dynamic‐programming‐based fuzzy control for triangular structure nonlinear uncertain systems with unknown time delay. Optimal Control Applications & Methods.Search in Google Scholar
Rogg, Sabrina, Volkwein, Stefan, Graessle, & Carmen, et al. (2017). Pod basis updates for nonlinear pde control. Automatisierungstechnik: Methoden und Anwendungen der Steuerungs-, Regelungs- und Informationstechnik, 65(5), 298-307.Search in Google Scholar
Hao, G., Congdong, L., Ying, Z., Chunnan, Z., & Yu, W. (2018). A nonlinear integer programming model for integrated location, inventory, and routing decisions in a closed-loop supply chain. Complexity, 2018, 1-17.Search in Google Scholar
Haskell, W. B., Jain, R., Sharma, H., & Yu, P. (2017). An empirical dynamic programming algorithm for continuous mdps. IEEE Transactions on Automatic Control, PP(99).Search in Google Scholar
Li, Y., Xia, H., & Bo Zhao†. (2018). Policy iteration algorithm based fault tolerant tracking control: an implementation on reconfigurable manipulators. Journal of Electrical Engineering & Technology, 13.Search in Google Scholar
Hainan Wang Hainan WangDepartment of Chemical Engineering, College of Engineering and Computing, University of South Carolina, Columbia, South Carolina, United StatesMore by Hainan Wang, Wang, H., Wang, M. B. H.,, Xinhong Liu Xinhong LiuDepartment of Chemical and Biomolecular Engineering, College of Engineering, University of Notre Dame, Notre Dame, Indiana, United StatesMore by Xinhong Liu, & Liu, X., et al. (2023). Time scaling transformation avoiding sensitivity discontinuity for nonlinear optimal control. Industrial And Engineering Chemistry Research, 62(36), 14407-14426.Search in Google Scholar
Ping, Liu, Xiangyu, Li, Xinggao, & Liu, et al. (2017). An improved smoothing technique-based control vector parameterization method for optimal control problems with inequality path constraints. Optimal Control Applications & Methods.Search in Google Scholar
Li, S., Li, X., Zhang, D., & Zhou, L. (2017). Joint optimization of distribution network design and two-echelon inventory control with stochastic demand and co2 emission tax charges. Plos One, 12(1), e0168526.Search in Google Scholar
Marzban, H. R., & Pirmoradian, H. (2018). A novel approach for the numerical investigation of optimal control problems containing multiple delays. Optimal Control Applications and Methods, 39(5).Search in Google Scholar
Zhou, Y., Kampen, E. J. V., & Chu, Q. P. (2018). Incremental model based online dual heuristic programming for nonlinear adaptive control. Control Engineering Practice, 73(APR.), 13-25.Search in Google Scholar
Van Staden, P. M., Dang, D. M., & Forsyth, P. A. (2018). Time-consistent mean–variance portfolio optimization: a numerical impulse control approach. Insurance: Mathematics and Economics, 83.Search in Google Scholar
Serrano, M. E., Godoy, Sebastián A., Rómoli, Santiago, & Scaglia, G. J. E. (2017). A numerical approximation-based controller for mobile robots with velocity limitation: numerical based controller for mobile robots. Asian Journal of Control,19.Search in Google Scholar
Deng, Z. H. (2017). Nonlinear programming control using differential aerodynamic drag for cubesat formation flying. Journal of Turbulence, 18(7).Search in Google Scholar