In this paper, we consider the sampled-data problem of interconnected systems, specifically, time- and space-invariant systems. Our main contribution is to provide sufficient conditions on well-posedness, stability, and contractiveness of sampled-data interconnected systems in the form of a group of Linear Operator Inequalities (LOIs); And despite their infinite dimensionality, further reduce them to Linear Matrix Inequalities (LMIs). The technique is also applicable when dynamics are spatially continuous, and measurement and actuation take place in spatially localized patches; namely, when a spatial, rather than temporal, sampled-data arrangement is present.
机构:
Univ Poitiers, CNRS, UMR 7252, XLIM, 11 Bd Marie & Pierre Curie, F-86073 Poitiers 9, FranceUniv Poitiers, CNRS, UMR 7252, XLIM, 11 Bd Marie & Pierre Curie, F-86073 Poitiers 9, France
Josse, Florence
Bernuau, Emmanuel
论文数: 0引用数: 0
h-index: 0
机构:
AgroParisTech, INRA, UMR 1145, GENIAL, 1 Ave Olympiades, F-91744 Massy, FranceUniv Poitiers, CNRS, UMR 7252, XLIM, 11 Bd Marie & Pierre Curie, F-86073 Poitiers 9, France
Bernuau, Emmanuel
Moulay, Emmanuel
论文数: 0引用数: 0
h-index: 0
机构:
Univ Poitiers, CNRS, UMR 7252, XLIM, 11 Bd Marie & Pierre Curie, F-86073 Poitiers 9, FranceUniv Poitiers, CNRS, UMR 7252, XLIM, 11 Bd Marie & Pierre Curie, F-86073 Poitiers 9, France