2015
DOI: 10.1155/2015/879492
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Observer Design for One-Sided Lipschitz Nonlinear Systems Subject to Measurement Delays

Abstract: This paper presents a novel nonlinear observer-design approach to one-sided Lipschitz nonlinear systems in the presence of output delays. The crux of the approach is to overcome the practical consequences of time delays, encountered due to distant sensor position and time lag in measurement, for estimation of physical and engineering nonlinear system states. A Lyapunov-Krasovskii functional is employed, the time derivative of which is solved using Jensen’s inequality, one-sided Lipschitz condition, and quadrat… Show more

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Cited by 33 publications
(32 citation statements)
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References 52 publications
(125 reference statements)
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“…The matrix inequalities in Theorem 2 (or in Corollary 1) include nonlinear terms that can be tackled by employing cone complementary linearization algorithm approach [42][43][44]. The constraints (23) and (24) can be solved through the optimization Theorem 2.…”
Section: Remarkmentioning
confidence: 99%
See 1 more Smart Citation
“…The matrix inequalities in Theorem 2 (or in Corollary 1) include nonlinear terms that can be tackled by employing cone complementary linearization algorithm approach [42][43][44]. The constraints (23) and (24) can be solved through the optimization Theorem 2.…”
Section: Remarkmentioning
confidence: 99%
“…In a recent work, an approach for observer design under measurement delays based on cone complementary linearization algorithm is developed to determine the observer gain (such as K 2 ) using LMIs. The proposed LMI-based treatment in (43)-(44) is a significant extension of the approach in [43] for the multiple time-delays at input as well as at output and for the controller gain matrix K 1 along with the observer gain K 2 . It is worth mentioning that the resultant methodology can be merely applied to solve delay-range-dependent observer-based controller synthesis problem by employing standard convex optimization routines for nonlinear systems under actuation and measurement delays.…”
Section: And Inequalities(23) − (24)inmentioning
confidence: 99%
“…Hence, the nonlinear constraints in Theorem 2 can be solved using LMIs by means of the following optimization (see [30] …”
Section: Remarkmentioning
confidence: 99%
“…The inequalities in Theorem 2 and Corollaries 1 and 2 are nonlinear; however, the optimization problem in (45), containing a nonlinear objective function, can be solved using LMIs by application of the CCL algorithm (see details in [30,31] and references therein).…”
Section: Remarkmentioning
confidence: 99%
“…In this case, a state observer is usually employed to accurately reconstruct the state variables of the process. In recent years, a subject of tremendous research activities has been focused on observer design problem for nonlinear time‐delay systems …”
Section: Introductionmentioning
confidence: 99%