4.7 Article

Quadratic stabilization of switched uncertain linear systems: a convex combination approach

Journal

IEEE-CAA JOURNAL OF AUTOMATICA SINICA
Volume 6, Issue 5, Pages 1116-1126

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JAS.2019.1911681

Keywords

Convex combination; limear matrix inequalities (LMIs); norm bounded uncertainties; output-dependent switching; quadratic stabilization; state-dependent switching; switched uncertain linear systems (SULS)

Funding

  1. Japan Ministry of Education, Sciences and Culture [21560471]
  2. Green Industry Leading Program of Hubei University of Technology [CPYF2017003]
  3. National Natural Science Foundation of China [11601474, 11461082]

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We consider quadratic stabilization for a class of switched systems which are composed of a finite set of continuous-time linear subsystems with norm bounded uncertainties. Under the assumption that there is no single quadratically stable subsystem, if a convex combination of subsystems is quadratically stable, then we propose a state-dependent switching law, based on the convex combination of subsystems, such that the entire switched linear system is quadratically stable. When the state information is not available, we extend the discussion to designing an output-dependent switching law by constructing a robust Luenberger observer for each subsystem.

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