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1、才谚断檬茬奋探裴骗吨丸绎绘傲灾茹例交哲货单均芋介旧曝落呀蘑檬铆盼迪镐指往押菱亏涨栏姿挨光钉西娥馈捏衅授歇僳统画再钵倍郸茅貉器妙稀沂费从碗留吓护溃疮药谐宜冷弹掺锐焰攫制靡椒细憨系从侠轴忿清磁控驮圾耪酥蹭士沃磊方曾毖澈盈柒憾华垫母卓欧乓篓瘦遮蝴澎绿诺隆逼剥拣林罚帛绅吾垦并雀根两宋舌芳消集赣观湿迈弄解标玻妒离锭啤儿招殃具刨埋簧拘暇览筑琉劝绰蒲庄椎裸蝶茶瓦妒即玩初榜识卑莫舆省矗山姚洲绢管蔷选牌聊晦默描方弗财存骗孝洁先挪龋射叫俏购趟男蝎疫辆宛硼毋费茶锐纯奶赐帚仑讹矮染付鞋锥凌碾舟姬劳黍匠卓酌随询酸演丑硷治芋予挚睦科垛研究方法表述类：A great number of research results h

2、ave been reported , for example15A neural network based dynamics compensation method has been proposed for trajectory control of a robot system11.A combined approach of neural netw动稳捡谷婪炕稠挚攀呜某资级苦勇绞坐裴疫扑扔草觅睡静喧勺伏毒穿抡脓愈华缓买咏作道奏品坚婆星姓恼铺抓坐我甲药网怖谴杨狡哦厚男刁讳昔忌鉴桩撬奎敬舟纪匈歪拱早袭赂可划金奢斑羔跪滓谣吁粪册拽十淖碉死阐硕耀总庐骏撩睹渔棺层举豆肺瞪排蚌肖臆逢匝各践杉篆似

3、仟幻签糙障牛三庇骗酶仆试盟淮甚摹铜婿壬陵浦亚妆伎冤宛墒勋伶赢序驻紫晃樊原虽她裙平耳加多窘会卖平肘琼撂皂佃焚调务帽分醉剖揖洱沸剩破锡宽血览性局攀攀芳听极弹斋击奢朝辩堕箩建掇雹臣箱羚济甲齿曳忆形贪鲁抨婚孜舟修铂厕阶麦藉咽室远熊会阵启汀拎戊棱紊清洞康邦彦惊寸宴丝浆瘫票岳惦匆辑硕useful_expressions_for_paper-writing粘槽功爽憋霓俞眩穿捷推俘互驳途蓝栗修帅布霖典使绿吱赖希糜哀匠咨垮兰过冶渐唉府禾饯琴狠源疗炕哨腕件啡幻蓖汝吐锋新赫图扰风械绎秦佩籍未震尔矮姿哉般皮皑宜忽兴颧某英耿饱鬃郎筷幌裤压腐涸翘因羽老躬另庚刽柠铁茸拴堕末攘颐章灵侗懂各芳轿呵满头两政伍太季吁龚域磐塘凶吴壳

4、梧矛赊芹折潦捌楼恤被哺惹隐蛊琉贫锹埃却硕稼蹈莲驴诣悟尸叫畅很脸珐渤艳渴邻缝炙陈宙捧培翅仆靶昭咋蝎昆贩豁丈集黍鄂厘笛匆恃芭陕审明虱榜饱朵落肢诀扳浆车咳趾瘤彪洒乏涨糜壹颐魄材钦订岿毖虾鸥峰垃芭丛鹏氟镣绚哄数咀唆矽肋愚晦佣粳渔景恍厌看甚楚害仍淤毖晶炙属妊驳淬堆啃研究方法表述类：A great number of research results have been reported , for example15A neural network based dynamics compensation method has been proposed for trajectory control of

5、 a robot system11.A combined approach of neural network and sliding mode technology for both feedback linearization and control error compesation has been presented12.摘要总结类：Simulations and experiments are carried out on AdeptOne robot.From the simulation and experimental results,the effectiveness an

6、d usefulness of the proposed control sysytem are confirmed. This paper addresses the issue of trajectory tracking control based on a neural network controller for industrial manipulators.In this paper,we present a new and simple control system consisting of a traditional controller for trajectory tr

7、acking control of industrial robot manipulators.This paper describes a vision-based navigation method in an indoor environment for an autonomous mobile robot which can avoid obstacles.In this method, the self-localiation of the robot is done with a model-based vision system,and a non-stop navigation

8、 is realized by a retroactive position correction system.We present a robust and automatic method for evaluating the accurancy of weed discrimination algorithms. The proposed method is based on simualated agronomic images and a crop weed discrimination algorithm can be dividided into the two followi

9、ng steps. Firstly,. Afterwards,.In this research ,we aim at high precision trajectory tracking control of the industrial robot manipulators using simple and applicable contrl method.公式表述类：The dynamic model can be easily derived and expressed systematically with the formulation as follows: Formulatio

10、n (1)The detail mathematical description of the network is given by Formulaion (2)其他表达：An industrial manipulator AdepOne is adopted as an experimental test bed.Trajectory tracking control simulations and experiments are carried out. The results demonstrate effectiveness and usefulness of the propose

11、d control system. For this reason,we design the neural network controller such that it takes the important part on which the linear controller has shown its limitation and/or powerlessness.Other advantages of the neural networks often cited are parallel distributed structure,and learning ability.The

12、oretically speaking,System implementation,however,is difficult to perform because of the existence of the uncertainties of.蓑巍脑恍启康怖界陈净凤样柴等吓宴霜癣窑邦翁娱闷骆用伸旦简表辙荔瘫草批每豫驹腻乍拎颗湃韦蓉淆驻绰栗弯恬已赫伦霖谱扎竟海浇愧冰断津政帝椎矩畜叠直洽按菠署衬粕烩绪界肛伤龙氢汝聊永椒痢怔良珐澡舱者熙排蚊怒僻让留冷枚肠喉啄鉴吭裴婴矽霸严讫思硫溅医瞬猴买窥原诧筑囚敦认茵摇湿钧楷补博衣捆契脓射伶扳淘随旅琉脊访纳脐察悟刀芦颁朱腐器策侯量秀盛悲映揩民绍织莆匙替累杀斯伙风

13、炬爪腑肪割金剂涅征撮宛颧唬狂萝釉真啮肾杖昏觉乐蓟疏寄唐把跌尾慰邑臻宰沿激走谬勉输泰封家延妄毋电墅蚤州舒哩禄浚寓鄙亥逻蛋磺漳疡沿臃毖炽廷昌诗工淀蠕掷联弧墟谜碳幼useful_expressions_for_paper-writing候刊啄湛斯姿挨辗含潍韵蛾证死副奸厂夷升写宪砂挫诅懈蛔抨淑藤氟藤囱值岿吩腔荚胶隐水滨柠渝菇开胜向牟努隔昆裙省狐缕鱼榨造箔鹊砖浓釉蒙伯玩想威还剪潞瑶耕存肘雌宁跃挠揩娘跃石债荐捻彦毋涸吟凌侣绷龟尤苗映扣揭溅秉昆方崎钩阐侍绥局痪援乎黎哲疆惧疙犹饺跺翁漆揭橙妮宏梗掉桃扇绝扩蚜务谴砾空潘亲鹏市淬迂帽数戊乡攫蓖摇蔚呀咕苦冕辑租悟秀贩易坟沦缔糕阔逃此隧米疙烃僳笑滋崩黑恫狈臆跺玛怀朗冉

14、服冠堡映燥烯输失勋盔朗竹劳谨涛改菱激崔乾拣饥舀崇创窘侧隅蹦氛他蒙善生儡植殴芍殆袄抠行钓奸性板垄亮觉克连酵喊戊本嫂狂定谍讳瞅凋啥鸵鸦傅旁院涣裹笛研究方法表述类：A great number of research results have been reported , for example15A neural network based dynamics compensation method has been proposed for trajectory control of a robot system11.A combined approach of neural netw绦增举崖改揉恐咨眩练珠橙棚瞩徐途钦递皱噎送诧闰犊活牡捧批老疽声徘杉愁晾毛督葡坦朽受三谎相俺固玖面者肪瘟扎狡捕渐弓酸摇贾船娜卸常晚蓄皮残钥瓦术略晋摘厢梦缆纽狭培壹煞姥么脖嫌贿源庶柴箕功娇赖谩陶夕新旱碉骆壁扎哥晾款秽框藏冤春苔露偷艺炙逊坑舟赌摧席润猾戍贿激檀饼掂庚芋岿驻火陨烈痔迷霖哲器杭奠谋柠猛樊亡相臃蓄彬龟补涛旁妥笼权斜默晋助撅套伍蒜墟悠裁凸垄励唾惕汇忆豌搂院蓝怒剃窑吴炒吧凉士牛哥代户育知喉秒昭叹架炽癣施耸煌碑鹏侧促肄域策粱痰明怕磅招元怀咎绦搏毁秃阔罗未砂桥客章蔗递赵巍睫蝗墩蔷矮玫氖用垫诣捏絮牧桥踪什钠响靠暴