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Exact Sampling of a Linear Interval Predictor
Author(s) -
Combastel Christophe
Publication year - 2015
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.932
Subject(s) - interval (graph theory) , bounded function , divergence (linguistics) , constructive , stability (learning theory) , mathematics , equivalence (formal languages) , sampling (signal processing) , control theory (sociology) , discrete time and continuous time , sampling interval , interval arithmetic , mathematical optimization , computer science , statistics , discrete mathematics , process (computing) , mathematical analysis , filter (signal processing) , control (management) , artificial intelligence , philosophy , linguistics , combinatorics , machine learning , computer vision , operating system
Recent advances in the design of interval observers have made it possible to ensure the non‐divergence of the computed state bounds from the stability of LTI systems under bounded inputs, with no need for additional monotony assumptions. Time‐varying changes of coordinates can be used to that purpose. Most of the related works result in either continuous‐time or discrete‐time interval dynamics. This paper proposes a constructive algorithm to compute the exact sampled response of a linear interval predictor under bounded inputs, gives a stability equivalence result and discusses the design of interval observers. The exact sampling requires held input bounds but the uncertain input itself needs not to be held. A numerical example exhibiting an oscillatory behavior illustrates the main results.