2026/07/30 by Jan Olucak, Torbjørn Cunis
Engineering · Computer Science · #eess.SY #cs.SY
Submitted to European Journal of Control
arxiv created 2026/07/30 · arxiv updated 2026/07/31
In this paper, a computationally lightweight approximate robust nonlinear model predictive control (NMPC) law is proposed based on a pair of input-to-state control Lyapunov function and robust control barrier function. The result builds upon and augments a recently introduced nominal infinitesimal- horizon NMPC scheme which permits small-sized quadratic programs to compute the feedback law for nonlinear constraint systems on embedded hardware in real time. Numerical experiments for nonlinear constrained spacecraft control and comparison to other robust NMPC schemes from the literature demonstrate the effectiveness of the proposed scheme.