[{"date_created":"2026-01-05T20:51:24Z","author":[{"last_name":"Lanza","full_name":"Lanza, Lukas","first_name":"Lukas"},{"last_name":"Dennstädt","id":"98033","full_name":"Dennstädt, Dario","first_name":"Dario"},{"first_name":"Thomas","last_name":"Berger","full_name":"Berger, Thomas"},{"first_name":"Karl","last_name":"Worthmann","full_name":"Worthmann, Karl"}],"volume":35,"publisher":"Wiley","date_updated":"2026-01-05T20:59:06Z","doi":"10.1002/rnc.8001","title":"Safe Continual Learning in Model Predictive Control With Prescribed Bounds on the Tracking Error","issue":"13","publication_status":"published","publication_identifier":{"issn":["1049-8923","1099-1239"]},"citation":{"ama":"Lanza L, Dennstädt D, Berger T, Worthmann K. Safe Continual Learning in Model Predictive Control With Prescribed Bounds on the Tracking Error. <i>International Journal of Robust and Nonlinear Control</i>. 2025;35(13):5569-5582. doi:<a href=\"https://doi.org/10.1002/rnc.8001\">10.1002/rnc.8001</a>","ieee":"L. Lanza, D. Dennstädt, T. Berger, and K. Worthmann, “Safe Continual Learning in Model Predictive Control With Prescribed Bounds on the Tracking Error,” <i>International Journal of Robust and Nonlinear Control</i>, vol. 35, no. 13, pp. 5569–5582, 2025, doi: <a href=\"https://doi.org/10.1002/rnc.8001\">10.1002/rnc.8001</a>.","chicago":"Lanza, Lukas, Dario Dennstädt, Thomas Berger, and Karl Worthmann. “Safe Continual Learning in Model Predictive Control With Prescribed Bounds on the Tracking Error.” <i>International Journal of Robust and Nonlinear Control</i> 35, no. 13 (2025): 5569–82. <a href=\"https://doi.org/10.1002/rnc.8001\">https://doi.org/10.1002/rnc.8001</a>.","mla":"Lanza, Lukas, et al. “Safe Continual Learning in Model Predictive Control With Prescribed Bounds on the Tracking Error.” <i>International Journal of Robust and Nonlinear Control</i>, vol. 35, no. 13, Wiley, 2025, pp. 5569–82, doi:<a href=\"https://doi.org/10.1002/rnc.8001\">10.1002/rnc.8001</a>.","bibtex":"@article{Lanza_Dennstädt_Berger_Worthmann_2025, title={Safe Continual Learning in Model Predictive Control With Prescribed Bounds on the Tracking Error}, volume={35}, DOI={<a href=\"https://doi.org/10.1002/rnc.8001\">10.1002/rnc.8001</a>}, number={13}, journal={International Journal of Robust and Nonlinear Control}, publisher={Wiley}, author={Lanza, Lukas and Dennstädt, Dario and Berger, Thomas and Worthmann, Karl}, year={2025}, pages={5569–5582} }","short":"L. Lanza, D. Dennstädt, T. Berger, K. Worthmann, International Journal of Robust and Nonlinear Control 35 (2025) 5569–5582.","apa":"Lanza, L., Dennstädt, D., Berger, T., &#38; Worthmann, K. (2025). Safe Continual Learning in Model Predictive Control With Prescribed Bounds on the Tracking Error. <i>International Journal of Robust and Nonlinear Control</i>, <i>35</i>(13), 5569–5582. <a href=\"https://doi.org/10.1002/rnc.8001\">https://doi.org/10.1002/rnc.8001</a>"},"page":"5569-5582","intvolume":"        35","year":"2025","user_id":"98033","_id":"63476","language":[{"iso":"eng"}],"type":"journal_article","publication":"International Journal of Robust and Nonlinear Control","status":"public","abstract":[{"lang":"eng","text":"<jats:title>ABSTRACT</jats:title><jats:p>We develop a three‐component Model Predictive Control (MPC) algorithm to achieve output‐reference tracking with prescribed performance for continuous‐time nonlinear systems. One component is the so‐called funnel MPC, which achieves reference tracking with prescribed performance for the model output for suitable models. Recently, this MPC algorithm has been combined with a model‐free reactive feedback controller (second component) to account for model‐plant mismatches, bounded disturbances, and uncertainties. By construction, this two‐component controller defines a robust funnel MPC algorithm. It achieves output‐reference tracking within prescribed bounds on the tracking error for a class of unknown nonlinear systems. In this paper, we extend the robust funnel MPC by a machine learning component to adapt the underlying model to the system data and, thus, improve the contribution of MPC. We derive sufficient structural conditions to define a class of models for funnel MPC, and provide a characterization of suitable learning schemes. Since robust funnel MPC is inherently robust and the evolution of the tracking error in the prescribed performance funnel is guaranteed, the additional learning component can perform the learning task online—even without an initial model or offline training.</jats:p>"}]},{"year":"2020","issue":"11","title":"Encrypted polynomial control based on tailored two‐party computation","publisher":"Wiley","date_created":"2023-01-09T16:36:47Z","publication":"International Journal of Robust and Nonlinear Control","keyword":["Electrical and Electronic Engineering","Industrial and Manufacturing Engineering","Mechanical Engineering","Aerospace Engineering","Biomedical Engineering","General Chemical Engineering","Control and Systems Engineering"],"language":[{"iso":"eng"}],"citation":{"apa":"Schulze Darup, M. (2020). Encrypted polynomial control based on tailored two‐party computation. <i>International Journal of Robust and Nonlinear Control</i>, <i>30</i>(11), 4168–4187. <a href=\"https://doi.org/10.1002/rnc.5003\">https://doi.org/10.1002/rnc.5003</a>","short":"M. Schulze Darup, International Journal of Robust and Nonlinear Control 30 (2020) 4168–4187.","mla":"Schulze Darup, Moritz. “Encrypted Polynomial Control Based on Tailored Two‐party Computation.” <i>International Journal of Robust and Nonlinear Control</i>, vol. 30, no. 11, Wiley, 2020, pp. 4168–87, doi:<a href=\"https://doi.org/10.1002/rnc.5003\">10.1002/rnc.5003</a>.","bibtex":"@article{Schulze Darup_2020, title={Encrypted polynomial control based on tailored two‐party computation}, volume={30}, DOI={<a href=\"https://doi.org/10.1002/rnc.5003\">10.1002/rnc.5003</a>}, number={11}, journal={International Journal of Robust and Nonlinear Control}, publisher={Wiley}, author={Schulze Darup, Moritz}, year={2020}, pages={4168–4187} }","ama":"Schulze Darup M. Encrypted polynomial control based on tailored two‐party computation. <i>International Journal of Robust and Nonlinear Control</i>. 2020;30(11):4168-4187. doi:<a href=\"https://doi.org/10.1002/rnc.5003\">10.1002/rnc.5003</a>","chicago":"Schulze Darup, Moritz. “Encrypted Polynomial Control Based on Tailored Two‐party Computation.” <i>International Journal of Robust and Nonlinear Control</i> 30, no. 11 (2020): 4168–87. <a href=\"https://doi.org/10.1002/rnc.5003\">https://doi.org/10.1002/rnc.5003</a>.","ieee":"M. Schulze Darup, “Encrypted polynomial control based on tailored two‐party computation,” <i>International Journal of Robust and Nonlinear Control</i>, vol. 30, no. 11, pp. 4168–4187, 2020, doi: <a href=\"https://doi.org/10.1002/rnc.5003\">10.1002/rnc.5003</a>."},"page":"4168-4187","intvolume":"        30","publication_status":"published","publication_identifier":{"issn":["1049-8923","1099-1239"]},"doi":"10.1002/rnc.5003","date_updated":"2023-01-09T16:36:57Z","author":[{"first_name":"Moritz","last_name":"Schulze Darup","full_name":"Schulze Darup, Moritz"}],"volume":30,"status":"public","type":"journal_article","_id":"35580","user_id":"158","department":[{"_id":"622"}]},{"publication_status":"published","publication_identifier":{"issn":["1049-8923","1099-1239"]},"issue":"11","year":"2020","citation":{"apa":"Lu, J., Leong, A. S., &#38; Quevedo, D. E. (2020). Optimal event‐triggered transmission scheduling for privacy‐preserving wireless state estimation. <i>International Journal of Robust and Nonlinear Control</i>, <i>30</i>(11), 4205–4224. <a href=\"https://doi.org/10.1002/rnc.4910\">https://doi.org/10.1002/rnc.4910</a>","short":"J. Lu, A.S. Leong, D.E. Quevedo, International Journal of Robust and Nonlinear Control 30 (2020) 4205–4224.","mla":"Lu, Jingyi, et al. “Optimal Event‐triggered Transmission Scheduling for Privacy‐preserving Wireless State Estimation.” <i>International Journal of Robust and Nonlinear Control</i>, vol. 30, no. 11, Wiley, 2020, pp. 4205–24, doi:<a href=\"https://doi.org/10.1002/rnc.4910\">10.1002/rnc.4910</a>.","bibtex":"@article{Lu_Leong_Quevedo_2020, title={Optimal event‐triggered transmission scheduling for privacy‐preserving wireless state estimation}, volume={30}, DOI={<a href=\"https://doi.org/10.1002/rnc.4910\">10.1002/rnc.4910</a>}, number={11}, journal={International Journal of Robust and Nonlinear Control}, publisher={Wiley}, author={Lu, Jingyi and Leong, Alex S. and Quevedo, Daniel E.}, year={2020}, pages={4205–4224} }","ama":"Lu J, Leong AS, Quevedo DE. Optimal event‐triggered transmission scheduling for privacy‐preserving wireless state estimation. <i>International Journal of Robust and Nonlinear Control</i>. 2020;30(11):4205-4224. doi:<a href=\"https://doi.org/10.1002/rnc.4910\">10.1002/rnc.4910</a>","chicago":"Lu, Jingyi, Alex S. Leong, and Daniel E. Quevedo. “Optimal Event‐triggered Transmission Scheduling for Privacy‐preserving Wireless State Estimation.” <i>International Journal of Robust and Nonlinear Control</i> 30, no. 11 (2020): 4205–24. <a href=\"https://doi.org/10.1002/rnc.4910\">https://doi.org/10.1002/rnc.4910</a>.","ieee":"J. Lu, A. S. Leong, and D. E. Quevedo, “Optimal event‐triggered transmission scheduling for privacy‐preserving wireless state estimation,” <i>International Journal of Robust and Nonlinear Control</i>, vol. 30, no. 11, pp. 4205–4224, 2020, doi: <a href=\"https://doi.org/10.1002/rnc.4910\">10.1002/rnc.4910</a>."},"page":"4205-4224","intvolume":"        30","publisher":"Wiley","date_updated":"2023-01-09T16:46:29Z","author":[{"first_name":"Jingyi","full_name":"Lu, Jingyi","last_name":"Lu"},{"first_name":"Alex S.","full_name":"Leong, Alex S.","last_name":"Leong"},{"first_name":"Daniel E.","last_name":"Quevedo","full_name":"Quevedo, Daniel E."}],"date_created":"2023-01-09T16:46:15Z","volume":30,"title":"Optimal event‐triggered transmission scheduling for privacy‐preserving wireless state estimation","doi":"10.1002/rnc.4910","type":"journal_article","publication":"International Journal of Robust and Nonlinear Control","status":"public","_id":"35585","user_id":"158","department":[{"_id":"57"}],"keyword":["Electrical and Electronic Engineering","Industrial and Manufacturing Engineering","Mechanical Engineering","Aerospace Engineering","Biomedical Engineering","General Chemical Engineering","Control and Systems Engineering"],"language":[{"iso":"eng"}]}]