2012
DOI: 10.1049/iet-cta.2011.0386
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Non-linear observer design for one-sided Lipschitz systems: an linear matrix inequality approach

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Cited by 112 publications
(93 citation statements)
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“…The uncertainties ΔA, ΔB, ΔE, ΔC are said to be admissible if the formulae from (8) to (10) are satisfied, the structure of the uncertainties in (8)-(10) can be used to deal with robust control and estimation problems,(e.g., [9,[19][20][21][22][23]) references therein. Throughout this paper, we will make the following assumptions.…”
Section: T a A X T B B U T E E F X T D W Tmentioning
confidence: 99%
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“…The uncertainties ΔA, ΔB, ΔE, ΔC are said to be admissible if the formulae from (8) to (10) are satisfied, the structure of the uncertainties in (8)-(10) can be used to deal with robust control and estimation problems,(e.g., [9,[19][20][21][22][23]) references therein. Throughout this paper, we will make the following assumptions.…”
Section: T a A X T B B U T E E F X T D W Tmentioning
confidence: 99%
“…Due to Lebesgue measurability of uncertainty parameter perturbations, some full-order nonlinear state observers under consideration are of the form in [21][22][23][24]. It is noted that Assumption 4 does not lose any generality, a nonlinear observerbased state feedback controller for non-linear system (6)- (7) is stated by…”
Section: Stability Analysis Of the Error System For Nonlinear Observementioning
confidence: 99%
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“…Define the state estimation error ( ) = ( ) −̂( ), and then it follows from (1)- (7) that [13][14][15][16][17] …”
Section: Design Of Gain Matrixmentioning
confidence: 99%
“…The systems under consideration include the classical Lipschitz nonlinear systems as special cases. Motivated by the methods proposed in Kheloufi et al 2 and Zhang et al, 18 we formulate the observer-based controller design issue for such systems into solving a set of LMIs, which are readily tractable via numerical software. Moreover, as the application of observer-based control design, we use the developed stabilization approach to a flexible link manipulator system.…”
Section: Introductionmentioning
confidence: 99%