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dc.contributor.authorYin, YanYan
dc.contributor.authorLiu, Y.
dc.contributor.authorTeo, Kok Lay
dc.contributor.authorWang, Song
dc.contributor.authorLiu, F.
dc.identifier.citationYin, Y. and Liu, Y. and Teo, K.L. and Wang, S. and Liu, F. 2018. Event-triggered ε level H∞ probabilistic control of uncertain systems. Journal of the Franklin Institute.

The Franklin Institute In this paper, a new event-trigger based probabilistic controller is designed using a scenario optimization approach for the robust stabilization of uncertain systems subject to nonlinear and unbounded uncertainties. Sufficient probabilistic stabilization conditions are derived under which the closed-loop system is e level robust probabilistic stable. Based on these conditions, the design of the gains of the event-triggered state feedback controller is formulated and solved as an optimization problem involving linear matrix inequality. The applicability of theoretical results obtained is illustrated by a numerical example.

dc.titleEvent-triggered ε level H∞ probabilistic control of uncertain systems
dc.typeJournal Article
dcterms.source.titleJournal of the Franklin Institute
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Science (EECMS)
curtin.accessStatusFulltext not available

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