This article proposes the use of a high gain, Generalized Proportional Integral (GPI), observer for the accurate linear estimation of nonlinear endogenous, and exogenous, disturbance inputs affecting the creation of local sliding regimes, on a given sliding manifold, for Single-Input Single-Output (SISO) systems with limited control authority. Active, online, estimation, and cancelation, of state dependent and time-dependent disturbances, significantly contribute to reducing the required switching control amplitude needed to sustain a sliding regime. This method results in enhanced performance on the controlled variable. Illustrative simulation examples are presented which validate the proposed approach.
No takes yet. Share an insight, caveat, or question.
Sira‐Ramírez et al. (2012) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: