Name
Abstract | ||
|---|---|---|
In this paper, robust model predictive control (RMPC) problem is investigated for a class of Markovian jump systems with unstable modes under polytopic uncertainties and hard constraints. The transition probability matrix and a mode-dependent control strategy in the framework of RMPC are co-designed. Moreover, in order to design a switching rule for the mean-square stability of the jump system, an off-line design scheme is first proposed to guarantee the on-line mode-dependent model predictive controller design. For the “on-line” part, a set of mode-dependent state feedback controllers is designed to minimize an upper bound of the worst-case infinite horizon cost function in terms of the solutions to a series of linear matrix inequalities. Finally, an simulation example regarding the economic system is implemented to verify the effectiveness of the proposed design scheme. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ICARCV50220.2020.9305314 | 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV) |
Keywords | DocType | ISSN |
Kobust model predictive control,Markovian jump systems,polytopic uncertainties,hard constrain,transition probability,mean-square stability | Conference | 2474-2953 |
ISBN | Citations | PageRank |
978-1-7281-7710-6 | 0 | 0.34 |
References | Authors | |
0 | 2 | |