Title: Sampled-data Control of Uncertain Linear System
Abstract: In this paper, a new digital redesign (DR) method for a class of uncertain linear systems is concerned. The term DR involves converting an analog controller into an equivalent digital one in the sense of state-matching. The DR problem can be reduced to find the digital fuzzy gains minimizing the norm distance between the closed-loop states of the analog and digital control systems. The uncertainties in the plant dynamics are considered in the DR condition that plays an important role in the performance improvement. Also, the robust stability is well guaranteed in the proposed DR procedure. Its constructive conditions are expressed as the linear matrix inequalities (LMIs). A numerical example is demonstrated to visualize the feasibility of the proposed methodology.
Publication Year: 2007
Publication Date: 2007-09-01
Language: en
Type: article
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Cited By Count: 9
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