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; Scattolini, R.. - In: IEEE TRANSACTIONS ON AUTOMATIC CONTROL. - ISSN 0018-9286. - STAMPA. - 51(2006), pp. 1548-1553. [10.1109/TAC.2006.880808]
Regional Input-to-state Stability for Nonlinear Model Predictive Control
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.Pubblicazioni consigliate
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