id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_dgxmul2xwbcolnzfwfqxulkumu	Ling Zhang	Performance Analysis of Adaptive Neuro Fuzzy Inference System Control for MEMS Navigation System	2014	8	.pdf	application/pdf	4452	936	72	Characterized by small volume, low cost, and low power, MEMS inertial sensors are widely concerned and applied in navigation control modulated method is presented in this paper, which is newly designed to improve the inertial sensor performance by black The parameters of ANFIS models are trained using reasonable fuzzy control strategy, with high-precision navigation of the proposed model has been experimentally verified using low-cost MEMS inertial sensors, and the MEMS output error is corrections to MEMS output and meet the requirement on navigation performance. mean data indicates that nonstochastic errors of MEMS-IMU As to inputs of ANFIS, the outputs of MEMS-IMU and standard IMU are segmented into MEMS-IMU Error Compensation Based ANFIS. correcting MEMS-IMU outputs by ANFIS method. error corrector by ANFIS is applied to modify the law MEMSIMU output and help provide higher-precision MEMS-IMU represents modified MEMS-IMU data by ANFIS, red line MEMS-IMU performance is of smoothness by ANFIS modulation.	./cache/work_dgxmul2xwbcolnzfwfqxulkumu.pdf	./txt/work_dgxmul2xwbcolnzfwfqxulkumu.txt