[1] 李磊,叶涛,谭民.移动机器人技术研究现状与未来[J].机器人,2002,24(5):475-480.(LI L, YE T, TAN M. Present state and future development of mobile robot technology research [J]. Robot, 2002, 24(5): 475-480.) [2] 李群明,熊蓉,褚健.室内自主移动机器人定位方法研究综述[J].机器人,2003,25(6):560-567.(LI Q M, XIONG R, CHU J. Localization approaches for indoor autonomous mobile robots : a review [J]. Robot, 2003, 25(6): 560-567.) [3] KWON Y S, YI B J. Design and motion planning of a two-module collaborative indoor pipeline inspection robot [J]. IEEE Transactions on Robotics, 2012, 28(3): 681-696. [4] BELKHOUCHE F, BENDJILALI B. Reactive path planning for 3-D autonomous vehicles [J]. IEEE Transactions on Control Systems Technology, 2012, 20(1): 249-256. [5] CHU K, LEE M, SUNWOO M. Local path planning for off-road autonomous driving with avoidance of static obstacles [J]. IEEE Transactions on Intelligent Transportation Systems, 2012, 13(4): 1599-1616. [6] 王金.双码盘定位机器人的位姿辨识算法[J].硅谷,2010(12):53.(WANG J. The posture recognition algorithm of robot based on double encoder position [J]. Silicon Valley, 2010(12): 53.) [7] 杨晶东,洪炳镕,周彤.移动机器人里程计非系统误差不确定性分析方法[J].机械工程学报,2008,44(8):7-12.(YANG J D, HONG B R, ZHOU T. Analysis approach to odometric non-systematic error uncertainty for mobile robots [J]. Chinese Journal of Mechanical Engineering, 2008, 44(8): 7-12.) [8] 陈孟元.基于FPGA的移动机器人运动控制器的实现[J].井冈山大学学报(自然科学版),2014,35(5):56-62.(CHEN M Y. Realization of mobile robot motion controller based on FPGA [J]. Journal of Jinggangshan University (Natural Sciences), 2014,35(5): 56-62.) [9] AL-ARAJI AS. Development of kinematic path-tracking controller design for real mobile robot via back-stepping slice genetic robust algorithm technique [J]. Arabian Journal for Science and Engineering, 2014, 39(12): 8825-8835. [10] MORALES R, SIRA-RAMÍREZ H, SOMOLINOS J A. Robust control of underactuated wheeled mobile manipulators using GPI disturbance observers [J]. Multibody System Dynamics, 2014, 32(4): 511-533. [11] 陈增照,杨扬,何秀玲,等.基于核聚类的SVM多类分类方法[J].计算机应用,2007,27(1):47-49.(CHEN Z Z, YANG Y, HE X L, et al. SVM multi-class classification based on kernel clustering algorithm [J]. Journal of Computer Applications, 2007, 27(1): 47-49.) [12] 王晓丹,郑春颖,吴崇明,等.一种新的SVM对等增量学习算法[J].计算机应用,2006,26(10):2440-2443.(WANG X D, ZHENG C Y, WU C M, et al. New algorithm for SVM-based incremental learning [J]. Journal of Computer Applications, 2006, 26(10): 2440-2443.) [13] 刘昌平,范明钰,王光卫,等.基于梯度算法的支持向量机参数优化方法[J].控制与决策,2008,23(11):1291-1295.(LIU C P, FAN M Y, WANG G W, et al. Optimizing parameters of support vector machine based on gradient algorithm [J]. Control and Decision, 2008, 23(11): 1291-1295.) [14] 董国军,哈力木拉提·买买提,余辉.基于RBF核的SVM核参数优化算法[J].新疆大学学报(自然科学版),2009,26(3):355-358.(DONG G J, MAIMAIT H, YU H. Algorithms of optimizing SVM's kernel parameters with RBF kernel [J]. Journal of Xinjiang University (Natural Science), 2009, 26(3): 355-358.) [15] 周辉仁,郑丕谔,赵春秀.基于遗传算法的LS-SVM参数优选及其在经济预测中的应用[J].计算机应用,2007,27(6):1418-1419.(ZHOU H R, ZHENG P E, ZHAO C X. LS-SVM parameters selection based on genetic algorithm and its application in economic forecasting [J]. Journal of Computer Applications, 2007, 27(6): 1418-1419.) |