Title :
Decentralized H∞ fusion filter design in multi-sensor fusion system
Author :
Li, Qinghua ; Zhang, Weihai ; Wang, Hongjun
Author_Institution :
Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan
Abstract :
There are in general two different types of methods to process the measured sensor data for multi-sensor fusion system. The first one is the centralized fusion filter, the other is decentralized fusion filter. Both of them have their own advantages and disadvantages. This paper mainly considers decentralized fusion filtering problems of the multi-sensor fusion system on basis of Hinfin filtering theory, the process and measurement noise in the system have unknown statistic characteristic but bounded power. Applying LMI methods, a new approach to design the Hinfin filter is presented. Finally, an example is given to illustrate the effectiveness of our theory.
Keywords :
Hinfin control; control system synthesis; decentralised control; linear matrix inequalities; sensor fusion; Hinfin filtering theory; LMI methods; decentralized Hinfin fusion filter design; decentralized Hinfin fusion filter design; decentralized fusion filtering problems; measured sensor data; multisensor fusion system; Educational institutions; Filtering theory; Information filtering; Information filters; Noise measurement; Nonlinear filters; Sensor systems; State estimation; Statistics; Stochastic systems; H∞ filtering; LMI; decentralize fusion filter; multi-sensor fusion system;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593075