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浏览/检索结果: 共4条，第1-4条 帮助 限定条件 内容类型：会议论文     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Identification of Systems with Logarithmic Quantizer 会议论文 作者:  Ji, Mingming;  Fu, Guiyuan 收藏  |  浏览/下载：5/0  |  提交时间：2019/08/22 System identification  logarithmic quantizer  estimator  estimation error   Nonlinear estimation by linear estimation with augmentation of uncorrelated conversion 会议论文 作者:  Lan, Jian;  Li, X. Rong 收藏  |  浏览/下载：8/0  |  提交时间：2019/12/02 Gaussian assumption  Linear minimum mean square error(LMMSE)  LMMSE estimations  Measurement information  Non-linear estimation  Nonlinear approach  Nonlinear conversions  Nonlinear estimator   The analysis and design of low velocity estimation based on observer (EI CONFERENCE) 会议论文 2009 IEEE International Conference on Automation and Logistics, ICAL 2009, August 5, 2009 - August 7, 2009, Shenyang, China Song Y.; Gao H.; Zhang S.; Tian Y.; Wang D. 收藏  |  浏览/下载：23/0  |  提交时间：2013/03/25 Low velocity servo system needs precision velocity estimation. An observer for low velocity estimation was proposed in this paper. First  the source of low velocity estimation errors and the shortcomings of the single period difference were analyzed. The relationship between the estimation accuracy and estimator's frequency characteristics was concluded. Then  the structure of the observer was proposed. Frequency characteristics were used to design the compensator which can stabilize the observer. The stability of the observer was also discussed. At last  the observer's estimation accuracy was evaluated through a quantitative comparison. The results of simulation and experiment have shown that the quantized error in velocity estimation decreases dramatically when a velocity observer is used. Compared with some commonly-used estimators  the phase lag accompanying the observer is much less. 2009 IEEE.   Direct Adaptive Fuzzy Control for a class of Nonlinear Systems with Unknown Bounds (CPCI-S收录) 会议论文 2009 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS ( ICAL 2009), VOLS 1-3 作者:  Pan, Yongping[1];  Huang, Daoping[1];  Sun, Zonghai[1] 收藏  |  浏览/下载：0/0  |  提交时间：2019/04/17 Nonlinear system  Unknown bound functions  Adaptive fuzzy control  Approximation error estimator