2017
DOI: 10.1016/j.automatica.2017.08.018
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A nonlinear Luenberger-like observer for nonlinear singular systems

Abstract: This paper investigates observer design problem for a large class of nonlinear singular systems with multiple outputs. We firstly regularize the singular system by injecting the derivative of outputs into the system. Then differential geometric method is applied to transform the regularized system into a simple normal form, for which a Luenberger-like observer is proposed.

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Cited by 39 publications
(12 citation statements)
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“…Therefore, the SPFM (47) is impulsive. The objective is to design a linear switching function as in (19) and SMC law (23) such that the closed-loop control system ( 24) is asymptotically stable. First, the parameter of switching function is given M = 2 3 and det(MB) = 5; therefore, the matrix M satisfies the design requirement.…”
Section: A Comparison Example With T-s Fuzzy Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…Therefore, the SPFM (47) is impulsive. The objective is to design a linear switching function as in (19) and SMC law (23) such that the closed-loop control system ( 24) is asymptotically stable. First, the parameter of switching function is given M = 2 3 and det(MB) = 5; therefore, the matrix M satisfies the design requirement.…”
Section: A Comparison Example With T-s Fuzzy Modelmentioning
confidence: 99%
“…The singular system is a natural representation of objective system. It can be used to describe further characteristics of the system and has been widely applied in large system theory, singular perturbed theory, circuit theory, and economic theory [19][20][21][22][23]. In 1999, Taniguchi et al combined the T-S fuzzy system with the singular system and promoted it to propose the T-S fuzzy singular system [24].…”
Section: Introductionmentioning
confidence: 99%
“…where Π 12 and Π 22 are defined as (28) and (29), respectively. In this case, the gain matrices of the observer (36) are computed as…”
Section: B Extension To Lipschits Nonlinear Singular Systemsmentioning
confidence: 99%
“…The effect ofθ andφ in the dynamics of the eigenvalues is compensated, using the camera's angular velocity. It is computed by setting (24) and (25) to zero and solving for ω c yielding…”
Section: Observer Design and Active Estimationmentioning
confidence: 99%