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On the computation of local invariant sets for nonlinear systems
2007 46th IEEE Conference on Decision and Control
The importance of invariant sets in control is due to the fact that they define a region of the space where stability, and potentially asymptotic convergence, are assured. For this reason many control design strategies are related to the computation of an invariant set. This is particularly the case for receding horizon based strategies as model predictive control. This paper presents a method for computing a convex invariant set for nonlinear systems. Using properties of D.C. functions, whichdoi:10.1109/cdc.2007.4434950 dblp:conf/cdc/FiacchiniAC07 fatcat:vsll6c5lrndsratc4obzrbw2by