Sliding mode state observation for non-linear systems
By A. J. Koshkouei, Alan Solon Ivor Zinober. 2004
118 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/c2975686a1fa4e2700a0131ea52303caae74dd91
How researchers see this paper
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In Control and Systems Engineering
- Kalyana Chakravarthy Veluvolu
- Y. C. Soh
- Wen-Jun Cao
- Horacio J. Marquez
- Reza Raoufi
- Michael Defoort
- Mohamed Djemai
- Jagat Jyoti Rath
Citations in the corpus
- ℋ︁∞ sliding mode observers for uncertain nonlinear Lipschitz systems with fault estimation synthesis (2010, methodology): “SMOs for Lipschitz nonlinear systems with bounded disturbance were addressed in [12].”
- Robust discrete‐time nonlinear sliding mode state estimation of uncertain nonlinear systems (2007, methodology): “The methods of [8, 33, 34] provide some insights into the distance to unobservability and the selection of the condition number that gives better stability.”
- Adaptive sensor and actuator fault estimation for a class of uncertain Lipschitz nonlinear systems (2016, methodology): “We consider the laboratory model of a single-link flexible joint robot [33], shown in Figure 1 and defined by the following nonlinear differential equations: P m D !m P !m D k Jm .”