Title :
Centralized H∞ Fusion Filter Design in Multi-sensor Nonlinear Fusion System
Author :
Li, Qinghua ; Wang, Hongjun ; Du, Jun ; Liu, Xuezhen ; Lin, Fei
Abstract :
Centralized nonlinear fusion filter design problem is to construct an asymptotically stable observer that leads to a stable estimation error process whose L2 gain with respect to disturbance signal is less than a prescribed level for state estimation of the multi-sensor fusion system. This paper tries to resolve the problem in using of Hinfin filtering theory and LMI methods under certain conditions. Finally, a simulation example is given to illustrate the effectiveness of our methods.
Keywords :
Hinfin control; filtering theory; linear matrix inequalities; observers; sensor fusion; LMI methods; asymptotically stable observer; centralized Hinfin fusion filter design; multisensor nonlinear fusion system; Estimation error; Filtering theory; Information filtering; Information filters; Nonlinear filters; Performance analysis; Signal design; State estimation; Stochastic systems; Uncertain systems; H∞filtering; LMI; nonlinear fusion system;
Conference_Titel :
Robotics, Automation and Mechatronics, 2008 IEEE Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1675-2
Electronic_ISBN :
978-1-4244-1676-9
DOI :
10.1109/RAMECH.2008.4681338