✦ LIBER ✦

Variance-constrained filtering for uncertain stochastic systems with missing measurements

✍ Scribed by Zidong Wang, ; Ho, D.W.C.; Xiaohui Liu,

Book ID: 120428979
Publisher: IEEE
Year: 2003
Tongue: English
Weight: 288 KB
Volume: 48
Category: Article
ISSN: 0018-9286
DOI: 10.1109/TAC.2003.814272

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Variance-Constrained Control for Uncerta

Variance-Constrained Control for Uncertain Stochastic Systems With Missing Measurements

✍ Wang, Z.; Ho, D.W.C.; Liu, X. 📂 Article 📅 2005 🏛 IEEE 🌐 English ⚖ 318 KB

Robust finite-horizon filtering for stoc

Robust finite-horizon filtering for stochastic systems with missing measurements

✍ Zidong Wang, ; Fuwen Yang, ; Ho, D.W.C.; Xiaohui Liu, 📂 Article 📅 2005 🏛 IEEE 🌐 English ⚖ 169 KB

Robust state estimation for uncertain di

Robust state estimation for uncertain discrete-time stochastic systems with missing measurements

✍ Huayong Liang; Tong Zhou 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 280 KB

In this paper, results of robust estimation of Zhou (2010a) are extended to state estimation with missing measurements. A new procedure is derived which inherits the main properties of that of Zhou (2010a). In this extension, a covariance matrix used in the recursions is replaced by its estimate whi

Robust Filtering for Switched Stochastic

Robust Filtering for Switched Stochastic System With Missing Measurements

✍ Hao Zhang; Qijun Chen; Huaicheng Yan; Junhao Liu 📂 Article 📅 2009 🏛 IEEE 🌐 English ⚖ 538 KB

Robust variance-constrained design for u

Robust variance-constrained design for uncertain continuous stochastic systems via output feedback

✍ Peijun Huo; Zidong Wang 📂 Article 📅 1997 🏛 Chinese Electronic Periodical Services 🌐 English ⚖ 255 KB

Variance-Constrained Filtering for a Cla

Variance-Constrained Filtering for a Class of Nonlinear Time-Varying Systems With Multiple Missing Measurements: The Finite-Horizon Case

✍ Hongli Dong; Zidong Wang; Ho, D.W.C.; Huijun Gao 📂 Article 📅 2010 🏛 IEEE 🌐 English ⚖ 543 KB