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CDC
2008
IEEE

Discrete-time sliding mode neural observer for continuous time mechanical systems

10 years 6 months ago
Discrete-time sliding mode neural observer for continuous time mechanical systems
— This paper proposes a novel discrete­time veloc­ ity observer which uses neural network and sliding mode for unknown continuous time mechanical systems. The neural observer in this paper has two stages: first a dead­zone neural observer assures that the observer error is bounded, then super­twisting second­order sliding­mode is used to guarantee the convergence of the estimation errors to a domain. This observer solves the infinite time convergence problem of neural observers with sliding mode compensation, and the chattering phenomenon of sliding mode observer.
Juan Resendiz, Wen Yu, Leonid M. Fridman
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where CDC
Authors Juan Resendiz, Wen Yu, Leonid M. Fridman
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