Author:
Morabito Bruno,Kienle Achim,Findeisen Rolf,Carius Lisa
Subject
Control and Systems Engineering
Reference25 articles.
1. Bavdekar, V.A., Gopaluni, R.B, and Shah, S.L. (2013). A comparison of moving horizon and bayesian state estimators with an application to a ph process. IFAC Proceedings Volumes, 46(32), 160 – 165, 10th IFAC International Symposium on Dynamics and Control of Process Systems.
2. Bernardini, D. and Bemporad, A. (2009). Scenario-based Model Predictive Control of Stochastic Constrained Linear Systems. Proc. of the 48h IEEE Conf. on Decision and Control (CDC) jointly with 28th Chinese Control Conf, 6333–6338.
3. Bethge, J., Morabito, B., Matschek, J., and Findeisen, R. (2018). Multi-mode learning supported model predictive control with guarantees. Proc. 6th IFAC Conf. on Nonlinear Model Predictive Control NMPC 2018, 51(20), 517 – 522.
4. Camacho, E.F., Alamo, T., and de la Pea, D.M. (2010). Fault-tolerant model predictive control. In 2010 IEEE 15th Conference on Emerging Technologies Factory Automation (ETFA 2010), 1–8.
5. Carius, L., Pohlodek, J., Morabito, B., Franz, A., Mangold, M., Findeisen, R., and Kienle, A. (2018). Model-based state estimation utilizing a hybrid cybernetic model. In Advanced Control of Chemical Processes (AdChem).
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献