2015
DOI: 10.1155/2015/585301
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Robust Observer-Based Feedback Control for Lipschitz Singularly Perturbed Systems

Abstract: The observer-based feedback control for singularly perturbed systems (SPSs) with Lipschitz constraint is addressed. A sufficient condition, independent of the perturbation parameter, for a full-order observer is presented in terms of linear matrix inequality (LMI) such that observation error is exponentially stable for all sufficiently small perturbation parameters. Then, for observer-based feedback control, a proper controller is constructed to guarantee the input-to-state stability of the system with regard … Show more

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Cited by 3 publications
(3 citation statements)
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“…An observer for spring-mass-damper systems with singularly perturbed structure is given in Saha and Valasek 6,7 ; however, those results apply to a very specific class of systems and observers. Other results on observer design for nonlinear singularly perturbed systems are available in Wang and Liu 20 , and Darrogheh et al 21 .…”
Section: Introductionmentioning
confidence: 99%
“…An observer for spring-mass-damper systems with singularly perturbed structure is given in Saha and Valasek 6,7 ; however, those results apply to a very specific class of systems and observers. Other results on observer design for nonlinear singularly perturbed systems are available in Wang and Liu 20 , and Darrogheh et al 21 .…”
Section: Introductionmentioning
confidence: 99%
“…It is shown a local convergence of the estimation error when the observer is implemented on the full system. A Luenberger-type observer to estimate the slow and fast states of a particular class of plants is reported in [5]. The observer gains are presented in terms of an LMI condition which is independent of the perturbation parameter and that guarantees exponential stability of the error dynamics.…”
Section: Introductionmentioning
confidence: 99%
“…Another work on the topic is presented in [4] in which a sliding mode observer for the slow states is designed. Note that results in [3]- [5] deal with specific plants and specific observers.…”
Section: Introductionmentioning
confidence: 99%