2008
DOI: 10.2316/journal.201.2008.1.201-1614
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Optimal Fusion Reduced-Order Kalman Estimators for Discrete-Time Stochastic Singular Systems

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Cited by 2 publications
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“…Descriptor system theory has obtained many excellent results in the control areas; the main scholarly reports can be seen in [ 1 , 2 ]. In recent years, the literature [ 3 ] considered the optimal fusion problem for the state estimation of discrete-time stochastic singular systems with multiple sensors and correlated measurement noise and obtained the optimal full-order filters and smoothers for the original system. The literature [ 4 ] proposed a novel suboptimal control method for a class of nonlinear singularly perturbed systems based on adaptive dynamic programming; the literature [ 5 ] discussed finite-time robust dissipative control for a class of descriptor systems, and the control system was effectively confined within the desired state-space ellipsoid.…”
Section: Introductionmentioning
confidence: 99%
“…Descriptor system theory has obtained many excellent results in the control areas; the main scholarly reports can be seen in [ 1 , 2 ]. In recent years, the literature [ 3 ] considered the optimal fusion problem for the state estimation of discrete-time stochastic singular systems with multiple sensors and correlated measurement noise and obtained the optimal full-order filters and smoothers for the original system. The literature [ 4 ] proposed a novel suboptimal control method for a class of nonlinear singularly perturbed systems based on adaptive dynamic programming; the literature [ 5 ] discussed finite-time robust dissipative control for a class of descriptor systems, and the control system was effectively confined within the desired state-space ellipsoid.…”
Section: Introductionmentioning
confidence: 99%