In this note, regional input-to-state stability (ISS) is introduced and studied in order to analyze the domain of attraction of nonlinear constrained systems with disturbances. ISS is derived by means of a non smooth ISS-Lyapunov function with an upper bound guaranteed only in a sub-region of the domain of attraction. These results are used to study the ISS properties of nonlinear model predictive control (MPC) algorithms.

Regional Input-to-state Stability for Nonlinear Model Predictive Control

MAGNI, LALO;RAIMONDO, DAVIDE MARTINO;
2006-01-01

Abstract

In this note, regional input-to-state stability (ISS) is introduced and studied in order to analyze the domain of attraction of nonlinear constrained systems with disturbances. ISS is derived by means of a non smooth ISS-Lyapunov function with an upper bound guaranteed only in a sub-region of the domain of attraction. These results are used to study the ISS properties of nonlinear model predictive control (MPC) algorithms.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/137398
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