scholarly journals Robust fault estimation based on zonotopic Kalman filter for discrete-time descriptor systems

2018 ◽  
Vol 28 (16) ◽  
pp. 5071-5086 ◽  
Author(s):  
Ye Wang ◽  
Vicenç Puig ◽  
Gabriela Cembrano
Keyword(s):  
Kalman Filter ◽  
Discrete Time ◽  
Descriptor Systems ◽  
Fault Estimation

scholarly journals Fault estimation filter design for discrete-time descriptor systems

2015 ◽  
Vol 9 (10) ◽  
pp. 1587-1594 ◽  
Author(s):  
Zhenhua Wang ◽  
Mickael Rodrigues ◽  
Yi Shen ◽  
Didier Theilliol
Keyword(s):  
Discrete Time ◽  
Filter Design ◽  
Descriptor Systems ◽  
Fault Estimation

Adaptive Kalman filtering for sensor fault estimation and isolation of satellite attitude control based on descriptor systems

2019 ◽  
Vol 41 (6) ◽  
pp. 1686-1698 ◽  
Author(s):  
Mao Wang ◽  
Tiantian Liang
Keyword(s):  
Kalman Filter ◽  
Attitude Control ◽  
Unscented Kalman Filter ◽  
Fault Isolation ◽  
Descriptor Systems ◽  
Fault Estimation ◽  
Multiple Model ◽  
Sensor Fault ◽  
Systems Model ◽  
Sensor Fault Estimation

Sensor fault estimation and isolation is significant for an attitude control systems model of a satellite, as it works in a complex environment. The standard unscented Kalman filter algorithm may lose its accuracy when the noise is considerable. Therefore, an adaptive filtering algorithm is proposed based on the sampled-data descriptor model. The performance of the unscented Kalman filter in sensor fault estimation is improved by the adaptive algorithm depending on innovation and the measurement residual, and its convergence is guaranteed. Combining the adaptive unscented Kalman filter with the multiple-model adaptive estimation, a sensor fault isolation method is proposed. Finally, simulation examples show that this algorithm has better estimating accuracy and isolation results.

Analisis Kestabilan Kalman Filter Sistem Singular dengan Pendekatan Deterministik

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Budi Rudianto
Keyword(s):  
Kalman Filter ◽  
State Space ◽  
Riccati Equation ◽  
Discrete Time ◽  
Simple Structure ◽  
Descriptor Systems ◽  
Deterministic Approach ◽  
Optimal Form

Makalah ini membahas Kalman filter dan Persamaan Aljabar Ricatti (PAR) untuk waktu diskrit. Lebih lanjut, sistem deskriptor varian waktu ditampilkan dalm bentuk formulasi umum. Pendekatan deterministik digunakan untuk menentukan bentuk optimum menjadi formulasi 9-block. Pernyataan 9-block selain menyatakan tahapan kondisi ruang, juga menampilkan struktur sederhana yang menarik dan simetris. Kemudian, kami akan menunjukkan bahwa Persamaan Aljabar Ricatti (PAR) memiliki semidefinit dan menstabilkan sistem.   In this paper will discuss the Kalman filter and Riccati equation for discrete-time. Furthermore, time-variant descriptor systems presented in a common formulation. Deterministic approach used to determine the optimal form into the formulation "9-block". The expression "9-block", besides stating stages pending state space, also presents a simple structure that is interesting and symmetrical. And then, we will show that the Aljabar Riccati Eqution has a stabilizing semi-definit.

Krein Space-based Hθ Fault Estimation for Linear Discrete Time-varying Systems

2009 ◽  
Vol 34 (12) ◽  
pp. 1529-1533 ◽  
Author(s):  
Mai-Ying ZHONG ◽  
Shuai LIU ◽  
Hui-Hong ZHAO
Keyword(s):  
Discrete Time ◽  
Krein Space ◽  
Fault Estimation ◽  
Time Varying ◽  
Time Varying Systems ◽  
Kreĭn Space
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