DocumentCode :
1213944
Title :
Regional Input-to-State Stability for Nonlinear Model Predictive Control
Author :
Magni, L. ; Raimondo, D.M. ; Scattolini, R.
Author_Institution :
Dipt. di Inf. e Sistemistica, Pavia Univ.
Volume :
51
Issue :
9
fYear :
2006
Firstpage :
1548
Lastpage :
1553
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
Keywords :
Lyapunov methods; control system analysis; nonlinear control systems; predictive control; stability; Lyapunov function; nonlinear constrained systems; nonlinear model predictive control; regional input-to-state stability; Control system synthesis; Control systems; Nonlinear control systems; Nonlinear systems; Open loop systems; Predictive control; Predictive models; Robust control; Robust stability; Robustness; Input-to-state stability; nonlinear model predictive control; nonlinear systems; robustness;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2006.880808
Filename :
1696000
Link To Document :
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