Preprint
Aug 2026
Nonadaptive Learning in Robust Nonlinear Output Regulation
A nonadaptive design that combines an input-driven filter and a generic internal model with a recursive backstepping law is developed, thereby recasting the regulation problem as the robust input-to-state stabilization of an augmented error system.
Shi-Min Wang, M. Guay, Richard D. Braatz
· 0 citations