✦ LIBER ✦

Diagnosis of unknown parametric faults in non-linear stochastic dynamical systems

✍ Scribed by Münz, Ulrich; Zufiria, Pedro J.

Book ID: 121507120
Publisher: Taylor and Francis Group
Year: 2009
Tongue: English
Weight: 331 KB
Volume: 82
Category: Article
ISSN: 0020-7179
DOI: 10.1080/00207170802054199

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Estimation of states, faults and unknown

Estimation of states, faults and unknown disturbances in non-linear systems

✍ Aldeen, M.; Sharma, R. 📂 Article 📅 2008 🏛 Taylor and Francis Group 🌐 English ⚖ 220 KB

The sensitivity analysis of stochastic n

The sensitivity analysis of stochastic non-linear dynamical systems

✍ L. Socha 📂 Article 📅 1986 🏛 Elsevier Science 🌐 English ⚖ 721 KB

The concept of stochastic sensitivity in linear and a class of non-linear continuous stochastic dynamical systems is considered in this paper. New definitions of output sensitivity measures are introduced. Detailed applications for linear systems with stochastic coefficients under noise excitation a

Optimal filtering and robust fault diagn

Optimal filtering and robust fault diagnosis of stochastic systems with unknown disturbances

✍ Chen, J.; Patton, R.J. 📂 Article 📅 1996 🏛 The Institution of Electrical Engineers 🌐 English ⚖ 638 KB

Two-stage optimal stochastic linearizati

Two-stage optimal stochastic linearization in analyzing of non-linear stochastic dynamic systems

✍ Chang, R.J. 📂 Article 📅 2014 🏛 Elsevier Science 🌐 English ⚖ 739 KB

Fault diagnosis based on adaptive observ

Fault diagnosis based on adaptive observer for a class of non-linear systems with unknown parameters

✍ Jiang, Bin; Staroswiecki, Marcel; Cocquempot, Vincent 📂 Article 📅 2004 🏛 Taylor and Francis Group 🌐 English ⚖ 226 KB

Fault diagnosis and fault-tolerant contr

Fault diagnosis and fault-tolerant control for non-Gaussian non-linear stochastic systems using a rational square-root approximation model

✍ Qin, Jifeng; Wang, Aiping; Wang, Hong; Yao, Lina 📂 Article 📅 2013 🏛 The Institution of Engineering and Technology 🌐 English ⚖ 515 KB