Journal
ASIAN JOURNAL OF CONTROL
Volume 21, Issue 2, Pages 868-878Publisher
WILEY
DOI: 10.1002/asjc.1786
Keywords
Nonlinear model predictive control; input-to-state stability; multi-step control set; polytopic description; disturbance
Categories
Funding
- National Natural Science Foundation of China [61473072]
Ask authors/readers for more resources
A robust model predictive control algorithm is proposed for a constrained nonlinear system with bounded persistent disturbance in this paper. Based on polytopic descriptions that include the initial system, the proposed algorithm computes a series of multi-step control sets offline and the convex combination of them online respectively by solving convex optimization problems described by a few linear matrix inequalities. At each sampling time, the control moves satisfying the control constraint are obtained and implemented in the system. The controller design is illustrated with two examples. The proposed MPC controller achieves closed-loop input-to-state (practical) stability (ISS/ISpS) and strong robustness in respect of bounded persistent disturbances.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available