现代电子技术投稿经验范文英文

  • 回答数

    2

  • 浏览数

    334

回答
吃那么一天
首页 > 论文问答 > 现代电子技术投稿经验范文英文

2个回答 默认排序
  • 默认排序
  • 按时间排序

一只泡芙er

已采纳
[1]ROVITHAKIS G A Stable adaptive neuro-control design via Lyapunov function derivative estimation [ J ] Automatica, 2001 37 (8):1213- [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-(WANG Yuan, HU Shousong, WU Q 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 - )[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 - [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-( JIN Bo, YU Y Adaptive CMAC controller for hydraulic turbine speed governor [ J ] Control Theory & Applications, 2002, 19 (6):905 - )[5]CHEN F C, KHALIL H K Adaptive control of nonlinear systems using neural networks [J] Int J Control, 1992,55(6): 1299 - [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-( NIU Yugang, ZOU Yun, YANG C Neural network-based adaptive tracking control for a class of nonlinear systems [ J] Control Theory & Application, 2001,18 ( 3 ): 461 - )[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-(LI Xiang,CHEN Zengqiang, YUAN Z Simple recurrent neural network control for non-minimum phase nonlinear system [ J ] Control Theory &Application ,2001,18(3) :456 - )[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 - [9]BROWN M, HARRIS C J Neurofuzzy Adaptive Modeling and Control [M]Hertfordshire: Prentice Hall International (UK) Limited,[10]LIN C T, LEE G C S Neural Fuzzy Systems-A Neuro-fuzzy Synergism to Intelligent Systems [M]New York: Prentice Hall I ,A Simon & Schuster Company, [11]GE S S, LEE T H, HARRIS C J Adaptive Neural Network Control of Robotic Manipulators [ M] Singapore: World Scientific, [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,(SUN Fuchun, SUN Zengqi, ZHANG B Theory and Approaches for Stable Adaptive Control of Robotic Manipulators Using Neural Networks [M] Beijing: Higher Education Press, )[13]WIDROW B The original adaptive neural net broom-balancer[ C ]//Proc of IEEE Int Symposium on Circuits and S Piscataway,NJ:IEEE Press, 1987:351 - [14]ALBUS J SNew approach to manipulator control:the cerebellar model articulation controller (CMAC) [ J] J of Dynamics Systems,Measurement and Control, 1975,97 ( 3 ): 220 - [15]HOPFIELD J J, TANK D W Computing with neural circuits: A model [ J] Science, 1986,233:625 - [16]RUMELHART D E, MCCLELLAND J L Parallel Distributed Processing : Explorations in the Microstructure of Cognition [ M] Cambridge, MA: MIT Press, [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 - [18]DIAO Yixin, PASSINO K M Adaptive neural/fuzzy control for interpolated nonlinear systems [ J ] IEEE Trans on Fuzzy Systems,2002,10(5) :582 - [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-(DA Feipeng,SONG W Sliding mode control based on the fuzzy neural networks [ J ] Control Theory & Applications, 2000,17(1):128- )[20]DENG Hui, SUN Fuchun, SUN Z Observer-based adaptive controller design of flexible manipulators using time-delay neurofuzzy networks [J] J of Intelligent and Robotic Systems,2002,34(34) :453 - [21]LIU Huaping, SUN Fuchun, HE Kezhong, et Controller design and stability analysis for fuzzy singularly perturbed systems [ J] Acta Automatica Sinica ,2003,29(4) :494 - [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-(HU Shousong, ZHOU Chuan, HU W Model-following robust adaptive control based on neural networks [ J ] Acta Automatica Sinica ,2000,26(5) :623 - )[23]PARTRICIA Melin, OSCAR C 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 C Piscataway,NJ: IEEE Press, 2001:1508 - [24]LEE Ching-hung,LIN Yu-hing,LAI Wei- 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 A Piscataway, NJ: IEEE Press, 2003:1264 -[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 S Piscataway,NJ: IEEE Press, 2003: 420 - [26]MENDELAND J M, BOB John R I Type-2 fuzzy sets made simple [J] IEEE Trans on Fuzzy Systems,2002,10(2): 117 - [27]Ezhov A A, Khromov A G, Berman G P Analog quantum neuron for functions approximation [ C ]//Proc of Int Joint Conf on Neural N Piscataway,NJ: IEEE Press, 2001,2:1577 - [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 C Piscataway, NJ: IEEE Press,1991:2116-[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, [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 - [31]SUN Fuchun, LI HanXiong, LI L Robot discrete adaptive control based on dynamic inversion using dynamical neural networks [ J ]Automatica, 2002,38 ( 11 ): 1977 - [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 C Piscataway,NJ: IEEE Press, 1995: 2460 - [33]POLYCARPOU M M Stable adaptive neural control scheme for nonlinear systems [ J] IEEE Trans on Automatic Control, 1996,41(3) :447 - [34]SUN Fuchun, SUN Zengqi, WOO P Neural network-based adaptive controller design of robot manipulators with an observer [ J] IEEE Trans on Neural Networks ,2001,12( 1 ) :54 - [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 - [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 - [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 - [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 - [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 - [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 - [41]SUN Fuchun, SUN Zengqi, FENG G 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 - [42]TANAKA K, WANG H O Fuzzy Control Systems Design and Analysis-A Linear Matrix Inequality Approach [M] New York:John Wiley & Sons, I ,[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 - [44]WU S J, LIN C T Optimal fuzzy controller design: local concept [J] IEEE Trans on Fuzzy Systems,2000,8(2): 171 - [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 - [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 -
355 评论

牛头梗小城堡

根据投稿经验是会的，如果在文章报录的过程中是投稿英文，一般会以英文发表。生物工程（bioEngineering），是20世纪70年代初开始兴起的一门新兴的综合性应用学科，90年代诞生了基于系统论的生物工程，即系统生物工程的概念。所谓生物工程，一般认为是以生物学（特别是其中的分子生物学、微生物学、遗传学、生物化学和细胞学）的理论和技术为基础，结合化工、机械、电子计算机等现代工程技术，充分运用分子生物学的最新成就。
184 评论

相关问答

向你推荐

热门问题