Constrained Neural Network Model Predictive Controller Based on Archimedes Optimization Algorithm with Application to Robot Manipulators
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications,Energy Engineering and Power Technology,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s40313-023-01033-1.pdf
Reference53 articles.
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2. Bakarac, P., Holaza, J., Kaluz, M., et al. (2018). Explicit MPC based on Approximate Dynamic Programming. in 2018 European Control Conference, ECC 2018 pp 1172–1177. https://doi.org/10.23919/ECC.2018.8550567
3. Banga, JR., Moles, CG., Alonso, AA. (2004). Global Optimization of Bioprocesses using Stochastic and Hybrid Methods. In: Frontiers in global optimization. Springer, pp 45–70, https://doi.org/10.1007/978-1-4613-0251-3_3
4. Bemporad, A., Borrelli, F., & Morari, M. (2000). Piecewise linear optimal controllers for hybrid systems. Proceedings of the American Control Conference, 2, 1190–1194. https://doi.org/10.1109/acc.2000.876688
5. Bemporad, A., Morari, M., Dua, V., et al. (2002). The explicit linear quadratic regulator for constrained systems. Automatica, 38(1), 3–20. https://doi.org/10.1016/S0005-1098(01)00174-1
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