Robust Point-to-Set Control of Hybrid Systems with Uncertainties Using Constraint Tightening

التفاصيل البيبلوغرافية
العنوان: Robust Point-to-Set Control of Hybrid Systems with Uncertainties Using Constraint Tightening
المؤلفون: Olaf Stursberg, Zonglin Liu
المصدر: IFAC-PapersOnLine. 53:6806-6812
بيانات النشر: Elsevier BV, 2020.
سنة النشر: 2020
مصطلحات موضوعية: Set (abstract data type), Constraint (information theory), Guard (information security), Mathematical optimization, Control and Systems Engineering, Computer science, Hybrid system, Point (geometry), Hybrid automaton, Invariant (mathematics), Reset (computing)
الوصف: This paper proposes a solution to the problem of computing optimized point-to-set control strategies for hybrid systems with mixed inputs and uncertainties in the continuous-valued dynamics as well as the reset functions. The solution is based on the idea to account for the uncertainties by tightening the guard and invariant sets, and thus construct a substitute hybrid automaton with deterministic transition dynamics. It can be ensured that a solution for this new model also solves the problem for the original system, i.e. the latter is robustly transferred between initial point and target set.
تدمد: 2405-8963
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::1fb54388f10bbb4b51a498024e08312d
https://doi.org/10.1016/j.ifacol.2020.12.333
حقوق: OPEN
رقم الأكسشن: edsair.doi...........1fb54388f10bbb4b51a498024e08312d
قاعدة البيانات: OpenAIRE