Publications

2020

• Nonlinear Observability for Polynomial Systems: Computation and ExamplesGerbet, D. & Röbenack, K., 2020, 2020 24th International Conference on System Theory, Control and Computing, ICSTCC 2020 - Proceedings. p. 425-432Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
• On a generalized flat input definition and physical realizabilityFritzsche, K. & Röbenack, K., 2020, In:  IFAC-PapersOnLine. 53, 2, p. 5994-5999Electronic (full-text) versionResearch output: Contribution to journal > Conference article
• On global and local observability of nonlinear polynomial systems: A decidable criterionGerbet, D. & Röbenack, K., 2020, In: At-Automatisierungstechnik. 68, 6, p. 395-409Electronic (full-text) versionResearch output: Contribution to journal > Research article
• On real stable pole placement for structured systems using Sturm and Sturm-Habicht sequencesRöbenack, K. & Voßwinkel, R., 2020, IFAC-PapersOnLine. p. 4546-4552Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
• Path Tracking of Articulated Vehicles in Backward MotionKolb, J., Nitzsche, G., Wagner, S. & Röbenack, K., 2020, 2020 24th International Conference on System Theory, Control and Computing, ICSTCC 2020 - Proceedings. p. 489-494Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
• Proving Asymptotic Stability with LaSalle's Invariance Principle: On the Automatic Computation of Invariant Sets Using Quantifier EliminationGerbet, D. & Röbenack, K., 2020, 7th International Conference on Control, Decision and Information Technologies, CoDIT 2020Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
• Reinforcement learning and trajectory planning based on model approximation with neural networks applied to transition problemsPritzkoleit, M., Knoll, C. & Röbenack, K., 2020, In:  IFAC-PapersOnLine. 53, 2, p. 1581-1583Electronic (full-text) versionResearch output: Contribution to journal > Conference article
• Reinforcement learning via offline trajectory planning based on iteratively approximated models,Bestärkendes Lernen mittels Offline-Trajektorienplanung basierend auf iterativ approximierten ModellenPritzkoleit, M., Heedt, R., Knoll, C. & Röbenack, K., 2020, In: At-Automatisierungstechnik. 68, 8, p. 612-624Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Simplified Manufacturing of Machine Tools Utilising Mechatronic Solutions on the Example of the Experimental Machine MAXIhlenfeldt, S., Mueller, J., Merx, M., Kraft, M. & Peukert, C., 2020, Reinventing Mechatronics: Developing Future Directions For Mechatronics. Yan, X., Bradley, D., Russell, D. & Moore, P. (eds.). Springer Nature, p. 145-162, 18 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

2019

• Rational Approximation of the Analytical Model of Nonlaminated Cylindrical Magnetic Actuators for Flux Estimation and ControlSeifert, R., Röbenack, K. & Hofmann, W., Dec 2019, In: IEEE Transactions on Magnetics. 55, 12, p. 1-16, 16 p., 8301016Electronic (full-text) versionResearch output: Contribution to journal > Research article