Variance-constrained filtering for uncertain stochastic systems with missing measurements

By Zidong Wang, D.W.C. Ho, Xiaohui Liu. IEEE Transactions on Automatic Control, 2003

348 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/a93308ae10638210fa2adc01dc14e63c830cc168

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Qing-Long Han
2. Huijun Gao
3. Zidong Wang
4. Xianming Zhang
5. James Lam
6. Tongwen Chen
7. Xinghuo Yu
8. Xiaohui Liu

Citations in the corpus

• Robust H/sub /spl infin// filtering for stochastic time-delay systems with missing measurements (2006, methodology): “A similar model was employed in [25] to study the filter design problem with error variance constraints.”
• Kalman filtering with intermittent observations (2004, neutral): “Section 7 concludes the paper.”
• Network-Based ${{\cal H}}_{\!\!\!\infty }$ Output Tracking Control (2008, background): “A popular way of dealing with deterministic uncertainty is to assume that the deviation of the system parameters from their nominal values is norm-bounded, which has been widely used in the robust control area [36], [37], [39].”
• Survey on Recent Advances in Networked Control Systems (2016, methodology): “This model with q = 0 is used to describe the measurement missing [91].”
• Stabilization of Networked Control Systems With a Logic ZOH (2009, methodology): “Currently, several methodologies have been proposed to tackle the control problems of NCSs, and may be divided into the following three classes: a) Control system components are designed by traditional theory, much effort goes into the design and scheduling of the communication networks [1], [5]–[8]”
• Extended Kalman filtering with stochastic nonlinearities and multiple missing measurements (2012, background): “As analyzed in [24], consider a maneuvering target that is accelerating with random bursts of gas from its reaction control system thrusters.”
• Robust $H_{\infty}$ Control for Networked Systems With Random Packet Losses (2007, neutral): “, [19], [21]–[24], and references therein).”