A backstepping-derived reach-avoid invariant set serves as the terminal constraint in sampled-data MPC, proving recursive feasibility and safe steering to the target for continuous nonlinear systems under input constraints and fast sampling.
On the computation of invariant sets for constrained nonlinear systems: An interval arithmetic approach
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.OC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Reach-Avoid Model Predictive Control with Guaranteed Recursive Feasibility via Input Constrained Backstepping
A backstepping-derived reach-avoid invariant set serves as the terminal constraint in sampled-data MPC, proving recursive feasibility and safe steering to the target for continuous nonlinear systems under input constraints and fast sampling.