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.
2006
AI, Robotics & Automatic Control
Sì, ma tipo non specificato
Inglese
Internazionale
STAMPA
51
1548
1553
6
Tematica Ex SIR: Controllo non lineare e robusto (Classif. Ex SIR:Articoli su riviste ISI )
Model Predictive Control; Nonlinear systems; Input-to-State Stability
3
info:eu-repo/semantics/article
262
Magni, Lalo; Raimondo, DAVIDE MARTINO; Scattolini, R.
1 Contributo su Rivista::1.1 Articolo in rivista
none
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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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