2006 American Control Conference 2006
DOI: 10.1109/acc.2006.1656615
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Discrete-time sliding mode observer design for a class of uncertain nonlinear systems

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Cited by 5 publications
(8 citation statements)
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“…Our main idea in this paper to achieve DSM is by avoiding switching on the sliding manifold. The trajectory is made to reach the boundary layer but is not allowed to cross the other side of boundary layer [5]. This is achieved with the following saturation function.…”
Section: Existence Of Discrete-time Sliding Mode With Boundary Layermentioning
confidence: 99%
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“…Our main idea in this paper to achieve DSM is by avoiding switching on the sliding manifold. The trajectory is made to reach the boundary layer but is not allowed to cross the other side of boundary layer [5]. This is achieved with the following saturation function.…”
Section: Existence Of Discrete-time Sliding Mode With Boundary Layermentioning
confidence: 99%
“…The boundary layer is generally used to avoid chattering in standard sliding mode phenomenon. But in this paper, we show that the selection of proper boundary layer forms the basis for the existence of DSM similar to [5] of SISO nonlinear systems. The relation between the sliding mode gain and boundary layer thickness is explored and the chattering is completely eliminated.…”
Section: Introductionmentioning
confidence: 95%
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“…After that various state observation method have been proposed in the literature to design asymptotic observer for nonlinear systems, including continuous-times nonlinear systems [2][3][4][5][6][7][8][9][10], and discrete-time systems [11][12][13][14][15][16][17][18][19][20]. For more specialized work, which consist of results on observers for sampled-data nonlinear systems [10], discrete-time sliding mode observers [12], discrete-time nonlinear systems [13], observers for Lipschitz nonlinear systems [8,13,14,16], and Lipschitz nonlinear discrete-time systems with time-delay [15]. Observer design for nonlinear systems with unknown inputs [17][18][19][20], switching nonlinear systems [21], one-sided Lipschitz nonlinear systems [22,23], and so on.…”
Section: Introductionmentioning
confidence: 99%
“…The estimation performance is significantly improved with the incorporation of the sliding mode term.So far, most of the analyses of DSM have been done outside the boundary layer. In [24], the design of DSM observer for SISO nonlinear systems was presented and the existence of DSM was also established. The boundary layer is generally used to avoid chattering in standard sliding mode design.…”
mentioning
confidence: 99%