Publications

@conference{Chabir2010249,

title = {Two-stage Kalman filter for simultaneous fault and delay estimation in Networked Control Systems},

author = {K. Chabir and D. Sauter and I. M. Al-Salami and M. N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-77957011966\&doi=10.1109%2fMED.2010.5547676\&partnerID=40\&md5=e596a2272aa407e5afc2a266cb5e429a},

doi = {10.1109/MED.2010.5547676},

isbn = {9781424480920},

year  = {2010},

date = {2010-01-01},

journal = {18th Mediterranean Conference on Control and Automation, MED'10 - Conference Proceedings},

pages = {249-254},

abstract = {Networked Control Systems are becoming very popular nowadays. However, the use of networks in the control loop induces extra difficulties in diagnosis. In this paper we propose a method for estimate fault as well delay induced by the network. Inspired from the Kalman filter previously proposed by Sinopoli et al. and Hsieh et al., two solutions are presented; the augmented and the two-stage Kalman filter. Main attention is paid for the last one. The delay and the fault are integrated as a state variable. It is supposed that the delay and the fault are random variables. In addition, we provide some analytic results to demonstrate the computational advantages of two-stage Kalman filter over augmented ones. An example illustrates the obtained results is given. © 2010 IEEE.},

note = {cited By 7},

keywords = {Computational advantages; Control loop; Delay estimation; Networked control systems; Simultaneous faults; State variables; Two stage Kalman filters, Control system analysis; Control systems; Random variables, Kalman filters},

pubstate = {published},

tppubtype = {conference}

}