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[1]ROVITHAKIS G A. Stable adaptive neuro-control design via Lyapunov function derivative estimation [ J ]. Automatica, 2001 37 (8):1213- 1221.[2]王源,胡寿松,吴庆宪.一类非线性系统的自组织模糊CMAC神经网络重构跟踪控制[J].控制理论与应用,2003,20(1):70-77.(WANG Yuan, HU Shousong, WU Qingxian. Adaptive reconfigurable tracking control of a class of nonlinear systems based on self-organizing fuzzy CMAC neural networks [ J ]. Control Theory & Applications, 2003,20(1 ) :70 - 77. )[3]LEWIS F L, YESILDIREK A, LIU K. Multilayer neural net robot controller:structure and stability proofs [ J]. IEEE Trans on Neural Networks, 1996,7(2) :388 - 399.[4]金波,俞亚新.一种自适应CMAC神经元网络控制器及其在水轮调速器中的应用[J].控制理论与应用,2002,19(6):905-908.( JIN Bo, YU Yaxin. Adaptive CMAC controller for hydraulic turbine speed governor [ J ]. Control Theory & Applications, 2002, 19 (6):905 - 908. )[5]CHEN F C, KHALIL H K. Adaptive control of nonlinear systems using neural networks [J]. Int J Control, 1992,55(6): 1299 - 1317.[6]牛玉刚,邹云,杨成梧.基于神经网络的一类非线性系统自适应跟踪控制[J].控制理论与应用,2001,18(3):461-464.( NIU Yugang, ZOU Yun, YANG Chengwu. Neural network-based adaptive tracking control for a class of nonlinear systems [ J]. Control Theory & Application, 2001,18 ( 3 ): 461 - 464. )[7]李翔,陈增强,袁著祉.非最小相位非线性系统的简单递归神经网络控制[J].控制理论与应用,2001,18(3):456-460.(LI Xiang,CHEN Zengqiang, YUAN Zhuzhi. Simple recurrent neural network control for non-minimum phase nonlinear system [ J ]. Control Theory &Application ,2001,18(3) :456 - 460. )[8]CHEN S, BILLINGS S A, GRANT P M. Recursive hybrid algorithm for nonlinear system identification using radial basis function networks [J]. Int J Control, 1992,55(5): 1050 - 1070.[9]BROWN M, HARRIS C J. Neurofuzzy Adaptive Modeling and Control [M].Hertfordshire: Prentice Hall International (UK) Limited,1994.[10]LIN C T, LEE G C S. Neural Fuzzy Systems-A Neuro-fuzzy Synergism to Intelligent Systems [M].New York: Prentice Hall Inc. ,A Simon & Schuster Company, 1996.[11]GE S S, LEE T H, HARRIS C J. Adaptive Neural Network Control of Robotic Manipulators [ M]. Singapore: World Scientific, 1998.[12]孙富春,孙增圻,张钹.机械手神经网络稳定自适应控制的理论与方法[M].北京:高等教育出版社,2004.(SUN Fuchun, SUN Zengqi, ZHANG Bo. Theory and Approaches for Stable Adaptive Control of Robotic Manipulators Using Neural Networks [M]. Beijing: Higher Education Press,2004. )[13]WIDROW B. The original adaptive neural net broom-balancer[ C ]//Proc of IEEE Int Symposium on Circuits and Systems. Piscataway,NJ:IEEE Press, 1987:351 - 357.[14]ALBUS J approach to manipulator control:the cerebellar model articulation controller (CMAC) [ J]. J of Dynamics Systems,Measurement and Control, 1975,97 ( 3 ): 220 - 227.[15]HOPFIELD J J, TANK D W. Computing with neural circuits: A model [ J]. Science, 1986,233:625 - 633.[16]RUMELHART D E, MCCLELLAND J L. Parallel Distributed Processing : Explorations in the Microstructure of Cognition [ M]. Cambridge, MA: MIT Press, 1986.[17]WANG Jeen-Shing, LEE G C S. Self-adaptive recurrent neuro-fuzzy control of an autonomous underwater vehicle [ J ]. IEEE Trans on Robotics and Automation, 2003,19 ( 2 ): 283 - 295.[18]DIAO Yixin, PASSINO K M. Adaptive neural/fuzzy control for interpolated nonlinear systems [ J ]. IEEE Trans on Fuzzy Systems,2002,10(5) :582 - 595.[19]达飞鹏,宋文忠.基于模糊神经网络的滑模控制[J].控制理论与应用,2000:17(1):128-132.(DA Feipeng,SONG Wenzhong. Sliding mode control based on the fuzzy neural networks [ J ]. Control Theory & Applications, 2000,17(1):128- 132.)[20]DENG Hui, SUN Fuchun, SUN Zengqi. Observer-based adaptive controller design of flexible manipulators using time-delay neurofuzzy networks [J]. J of Intelligent and Robotic Systems,2002,34(34) :453 - 466.[21]LIU Huaping, SUN Fuchun, HE Kezhong, et al. Controller design and stability analysis for fuzzy singularly perturbed systems [ J]. Acta Automatica Sinica ,2003,29(4) :494 - 500.[22]胡寿松,周川,胡维礼.基神经网络的模型跟随鲁棒自适应控制[J].自动化学报,2000,26(5):623-629.(HU Shousong, ZHOU Chuan, HU Weili. Model-following robust adaptive control based on neural networks [ J ]. Acta Automatica Sinica ,2000,26(5) :623 - 629. )[23]PARTRICIA Melin, OSCAR Castrilio. Intelligent adaptive control of non-linear dynamical systems with a hybrid neuro-fuzzy-genetic approach [C]//Proc of IEEE Int Conf on Systems, Man, and Cybernetics. Piscataway,NJ: IEEE Press, 2001:1508 - 1513.[24]LEE Ching-hung,LIN Yu-hing,LAI Wei-yu. Systems identification using type-2 fuzzy neural network (type-2 FNN) systems [C]//Proc of 2003 IEEE Int Symposium on Computational Intelligence in Robotics and Automation. Piscataway, NJ: IEEE Press, 2003:1264 -1269.[25]PARTRICIA M, OSCAR C. A new method for adaptive model-based control of nonlinear plants using type-2 fuzzy logic and neural networks [C]//Proc of IEEE Int Conf on Fuzzy Systems. Piscataway,NJ: IEEE Press, 2003: 420 - 425.[26]MENDELAND J M, BOB John R I. Type-2 fuzzy sets made simple [J]. IEEE Trans on Fuzzy Systems,2002,10(2): 117 - 127.[27]Ezhov A A, Khromov A G, Berman G P. Analog quantum neuron for functions approximation [ C ]//Proc of Int Joint Conf on Neural Networks. Piscataway,NJ: IEEE Press, 2001,2:1577 - 1582.[28]SANNER R M, SLOTINE J J E. Stable adaptive control and recursive identification using radial Gaussian networks [ C ]//Proc of IEEE Conf on Decision and Control. Piscataway, NJ: IEEE Press,1991:2116-2123.[29]POLYCARPOU M M, IOANNOU P S. Identification and control of nonlinear systems using neural network models: design and stability analysis EE-Report 91 - 09 - 01 [ R ]. Los Angeles: University of Southem California, 1991.[30]SANCHEZ E N, BERNAL M A. Adaptive recurrent neural control for nonlinear system tracking [ J ]. IEEE Trans on Systems, Man,and Cybernetics, Part B: Cybernetics, 2000,30( 6 ): 886 - 889.[31]SUN Fuchun, LI HanXiong, LI Lei. Robot discrete adaptive control based on dynamic inversion using dynamical neural networks [ J ].Automatica, 2002,38 ( 11 ): 1977 - 1983.[32]SANNER R M, SLOTINE J J E. Structurally dynamic wavelet networks for the adaptive control of uncertain robotic systems [ C ]//Proc of the 34 th IEEE Conf on Decision and Control. Piscataway,NJ: IEEE Press, 1995: 2460 - 2467.[33]POLYCARPOU M M. Stable adaptive neural control scheme for nonlinear systems [ J]. IEEE Trans on Automatic Control, 1996,41(3) :447 - 451.[34]SUN Fuchun, SUN Zengqi, WOO Pengyun. Neural network-based adaptive controller design of robot manipulators with an observer [ J]. IEEE Trans on Neural Networks ,2001,12( 1 ) :54 - 67.[35]NARENDRA K S, PARTHASARATHY K. Identification and control of dynamical systems using neural networks [ J ]. IEEE Trans on Neural Networks, 1990,1(1) :4 - 27.[36]ROVITHAKIS G A. Tracking control of multi - input affine nonlinear dynamical systems with unknown nonlinearities using dynamical neural networks [ J]. IEEE Trans on Systems, Man, and Cybernetics-Part B: Cybernetics, 1999,29(2): 179 - 189.[37]GE S S, LI G Y, LEE T H. Adaptive NN control for a class of strictfeedback discrete-time nonlinear systems [ J ]. Automatica, 2003,39(5) :807 - 819.[38]JAGANNATHAN S, LEWIS F L. Multilayer discrete-time neural-net controller with guaranteed performance [ J ]. IEEE Trans on Neural Networks, 1996,7 ( 1 ): 107 - 130.[39]SUN Fuchun, SUN Zengqi, WOO Pengyan, Stable neural networkbased adaptive control for sampled-data nonlinear systems [ J]. IEEE Trans on Neural Networks, 1998,9(5) :956 - 968.[40]CHENG C M, REES N W. Stability analysis of fuzzy multivariable systems: vector Lyapunov function approach [ J]. IEE Proceeding of Control Theory, 1997,144(5) :403 - 412.[41]SUN Fuchun, SUN Zengqi, FENG Gang. An adaptive fuzzy controller based on sliding mode for robot manipulators [ J ]. IEEE Trans on Systems, Man, and Cybernetics- Part B: Cybernetics,1999,29(5) :661 - 667.[42]TANAKA K, WANG H O. Fuzzy Control Systems Design and Analysis-A Linear Matrix Inequality Approach [M] .New York:John Wiley & Sons, Inc. ,2001.[43]TANIGUCHI T, TANAKA K, WANG H O. Fuzzy descriptor systems and nonlinear model following control [ J ]. IEEE Trans on Fuzzy Systems, 2000,8 (4): 442 - 452.[44]WU S J, LIN C T. Optimal fuzzy controller design: local concept [J] .IEEE Trans on Fuzzy Systems,2000,8(2): 171 - 185.[45]WU S J, LIN C T. Discrete-time optimal fuzzy controller design:global concept approach [ J]. IEEE Trans on Fuzzy Systems, 2002,10(1) :21 - 38.[46]CAO S G, REES N W, FENG G. H∞ control of uncertain fuzzy continuous - time systems [ J ]. Fuzzy Sets and Systems, 2000,115 (2):171 - 190.
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文献1:This project aimed to develop a wireless system to detect and allow only the authorized persons. The system was based on Radio Frequency Identification (RFID) technology and consists of a passive RFID tag. The passive micro transponder tag collects power from the 125 KHz magnetic field generated by the base station, gathers information about the Tag ID and sends this information to the base station. The base station receives, decodes and checks the information available in its Database and Manchester code was used to send those information. The system performed as desired with a 10cm diameter antenna attached to the transponder. The Base Station is built by using the Popular 8051 family Microcontroller. It gets the tag ID and if the tag ID is stored in its memory then the microcontroller will allow the person inside. RFID Reader Module, are also called as interrogators. They convert radio waves returned from the RFID tag into a form that can be passed on to Controllers, which can make use of it. RFID tags and readers have to be tuned to the same frequency in order to communicate. RFID systems use many different frequencies, but the most common and widely used Reader frequency is 125 KHz.全部内容及下载地址:文献2: Choose controller according to your requirements of program memory(flash), RAM, ADC, EEPROM. 16kB of flash is sufficient to implement floodfill algorithm. If you are thinking of implementing floodfill algorithm then 256 bytes are required to store Map of the maze and 512 bytes are required for processing so you need atleast 1kBRAM to implement floodfill. ATmega16,32 and PIC18f452 are some controllerspopularly used in micromouse. If you are thinking of building just a wall follower then simple 8051 based controller likeAT89s52 can also be used. Stepper driving:Please read a step by step stepper motor guidefirst. There are two types of motors a) unipolar b) bipolar. Unipolar stepper motors can be used as bipolar steppers so prefer unipolar whilepurchasing stepper. You can use simple ULN2803 IC the circuit can be found in 8051 microcontroller by Mazidi. ULN2803 has eight darlington pair in a single package. It hascurrent carrying capacity of 500mA. so it will get heated up frequently will get two ULN2803 can be connected in parallel to fix the problem but this is a chalta haiway of driving stepper. 全部见: 文献3:Stepper Motor Advantagesand DisadvantagesAdvantages1. The rotation angle of the motor isproportional to the input . The motor has full torque at stand-still (if the windings are energized)3. Precise positioning and repeat-ability of movement since goodstepper motors have an accuracy of3 – 5% of a step and this error isnon cumulative from one step tothe . Excellent response to starting/stopping/. Very reliable since there are no con-tact brushes in the the life of the motor issimply dependant on the life of . The motors response to digitalinput pulses provides open-loopcontrol, making the motor simplerand less costly to . It is possible to achieve very lowspeed synchronous rotation with aload that is directly coupled to . A wide range of rotational speedscan be realized as the speed isproportional to the frequency全文见:
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[1] S. Kilicaslan, T. Balkan,, Tipping load ofmobile cranes with flexible booms,J. SoundVib. 223 (4)(1999) 645–657.[ 1]美国kilicaslan，吨巴尔干，，倾翻载荷移动起重机柔性臂soundvib，J .。223（4）（1999）645–657。[2] A. Myklebust, Dynamic response of an electric motor-linkage system during start-up, J. Mech. Des. 104 (1982) 137–142.[ 2]的myklebust，动态响应电motor-linkage系统启动期间，J .机甲。德。104（1982）137–142。[3] A. Smaili, M. Kopparapu, M. Sannah, Elastodynamic response of a . motor driven flexible mechanism system with compliant drive train components during start-up, Mech. Mach. Theory 31 (5) (1996) 659–672.[ 3]的smaili，kopparapu先生，先生sannah，动态响应一个直流电机驱动的柔性机构系统的柔性传动部件在启动过程中，机械。马赫数。31（5）（1996）659–672。[4] H. Peeken, K. Menninger, Dynamische Kr €aafte beim Drehen eines Mobilkranes, Foordern und Heben 24 (12) (1974) 1143–1147.[ 4] H . peeken，K门宁格，dynamische氪€aafte在旋转一mobilkranes，foordern和赫本24（12）（1974）1143–1147。[5] K. Maczynski, S. Wojciech, Bin diskretes Modell fur Teleskopdrehkrane zur Anylyse der Bewegung der Last beim Drehen des Kranes, Hebezeuge und F€oordermittel 21 (1981) 333–337.[ 5] k . maczynski，S沃伊切赫，本diskretes莫代尔毛皮teleskopdrehkrane楚最后在旋转运动分析德德德kranes，新乡和女€oordermittel21（1981）333–337。[6] B. Posiadala, B. Skalmierski, L. Tomski, Motion of the lifted load brought by a kinematic forcing of the crane telescopic boom, Mech. Mach. Theory 25 (1990) 547–555.[ 6] B posiadala，B skalmierski，L .托姆斯基，运动解除负荷带来的运动迫使起重机伸缩臂，机械。马赫数。25（1990）547–555。[7] B. Posiadala, Influence of crane support system on motion of the lifted load, Mech. Mach. Theory 32 (1) (1997) 9–20.[ 7] B posiadala，影响起重机支持系统的运动解除负荷，机械。马赫数。32（1）（1997）9–20。[8] . Lau, . Low, Motion analysis of a suspended mass attached to a crane, Comput. Struct. 52 (1) (1994)169–178.[ 8] .刘，KH低，运动分析暂停大规模连接到一个起重机，计算机。结构。52（1）（1994）169–178。[9] . G €uunthner, M. Kleeberger, Zum Stand der Berechnung von Gittermast-Fahrzeugkranen, dhf 43 (3) (1997)56–61.[ 9] W克€uunthner，柯利博格先生，去站在了德国berechnung冯gittermast-fahrzeugkranen登革出血热，43（3）（1997）56–61。[10] M. Kleeberger, Nichtlineare dynamische Berechnung von Gittermast-Fahrzeugkranen, M€uunchen, Technische Universit €aat, Dissertation, 1996.[ 10]·柯利博格，nichtlineare dynamische berechnung冯gittermast-fahrzeugkranen，米€uunchen，理工大学€亚洲空运中心，论文，1996。[11] J. Maier, Untersuchung zur nichtlinearen Berechnung dynamischer Belas-tungsvorga nge an Turmdrehktanen,M €uunchen, Technische Universit €aat, Dissertation, 1999.[ 11]·麦尔，检查楚nichtlinearen berechnung dynamischer belas-tungsvorga民营企业一个turmdrehktanen，米€uunchen，理工大学€亚洲空运中心，论文，1999。[12] unter Ber€uucksichtigung der Antriebs-und Regelungssysteme, M €uunchen, Technische Universit €aat, Dissertation, 2001.[ 12]如太阳，berechnungvongittermast-fahrzeugkranen在误码率€uucksichtigung明镜antriebs-und regelungssysteme，米€uunchen，理工大学€亚洲空运中心，论文，2001。[13] M. G €uunthner, Statische Berechnung vom Gittermast-Auslegerkranen mit Hilfe finiter Turmelemente unter Ber€uucksigtigung der Elastizit €aat des Kranwagens und von Messungen, M€uunchen, Technische Universit€aat, Dissertation, 1985.[ 13]·克€uunthner，statische berechnung从gittermast-auslegerkranen麻省理工学院的帮助finiter turmelemente在误码率€uucksigtigung明镜elastizit€亚洲空运中心德kranwagens以及messungen，米€uunchen，理工大学€亚洲空运中心，论文，1985。[14] K. Sato, Y. Sakawa, Modelling and control of a flexible rotary crane, Int. J. Control 48 (5) (1988) 2085–2105.[ 14] K . Y佐藤，佐川，建模和控制灵活旋转起重机，（5）（1988）2085–2105。[15] T. Gustafsson, Modelling and control of a rotary crane. In: Proceedings of 3rd European Control Conference, Rome Italy, September 1995, pp. 3085–3810.[ 15]古斯塔夫森，建模和控制旋转起重机。：第三届欧洲控制会议，罗马意大利，九月，1995，页3085 -–3810。[16 ](6) (1998) 557–574.[ 16] ，thedynamicstabilityofacranestandingonsoilduringtherotationoftheboom，。脊髓损伤。40（6）（1998）557–574。[17] . Shabana, Dynamics of Multibody Systems, Cambridge University Press, 1998.[ 17]机管局谢花，多体系统动力学，剑桥大学出版社，1998。[18] . Dyn. Syst. Meas. Control 120 (45) (1998) 45–49.[ 18] ，，modellinganddesigningahydrostatictransmissionwithafixed-displacementmotor达因，J .。系统的。多边的。120（45）（1998）45–49。[19] P. Dreansfield, Hydraulic Control Systems. Design and Analysis of their Dynamics, Springer-Verlag, 1981.[ 19] P . dreansfield，液压控制系统。设计与动态分析，科学出版社，1981。[20] . Merritt, Hydraulic Control Systems, John Wiley, New York, 1967.[ 20]梅利特阁下，液压控制系统，约翰威利，纽约，1967。
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