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[1] 廖常初.PLC编程及应用[M].机械工业出版社,2005[2] 张万忠.可编程控制器应用技术 [M].北京:化学工业出版社,2001.[3] 齐占庆,王振臣.电气控制技术 [M].北京:机械工业出版社,2002.[4] 李道霖.电气控制与PLC原理及应用 [M].北京: 电子工业出版社,2004.[6] 史国生.电气控制与可编程控制器技术 [M].北京:化学工业出版社,2003.

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激排爱畅想

电力工程论文参考文献

在个人成长的多个环节中,大家都不可避免地会接触到论文吧,论文是一种综合性的'文体,通过论文可直接看出一个人的综合能力和专业基础。写论文的注意事项有许多,你确定会写吗?下面是我为大家整理的电力工程论文参考文献,欢迎大家借鉴与参考,希望对大家有所帮助。

参考文献:

[1]吴在军,胡敏强.基于IEC61850标准的变电站自动化系统研究[J].电网技术,20xx,27(10):61-65

[2]张沛超,高翔.数字化变电站系统结构[J].电网技术,20xx,30(24):73-77

[3]高翔,张沛超.数字化变电站的主要特征和关键技术[J].电网技术,20xx,30(23):67-71

[4]吴国威.基于IEC61850的变电站自动化系统的应用研究[D].浙江大学,20xx年

[5]陈轶玮.数字化变电站实用化研究[D].浙江大学,20xx年

[6]马辉数字化变电站技术丛书)))设计分册[M].北京:中国电力出版社,20xx.

[7]高翔数字化变电站应用技术[M].北京:中国电力出版社,20xx.

[8]吴少华220kV变电站数字化改造工程[J].广东电力,20xx,23(6):38-42.

[9]郭永基.电力系统可靠性分析[M].北京:清华大学出版社,20xx.

[10]王钢,丁茂生,李晓华等.数字继电保护装置可靠性研究[J].中国电机工程学报,20xx,24(7):47-52.

参考文献:

[1]吴在军,胡敏强。基于IEC61850标准的变电站自动化系统研究[J]。电网技术,20xx,27(10):61—65

[2]张沛超,高翔。数字化变电站系统结构[J]。电网技术,20xx,30(24):73—77

[3]高翔,张沛超。数字化变电站的主要特征和关键技术[J]。电网技术,20xx,30(23):67—71

[4]吴国威。基于IEC61850的变电站自动化系统的应用研究[D]。浙江大学,20xx年

[5]陈轶玮。数字化变电站实用化研究[D]。浙江大学,20xx年

[6]马辉数字化变电站技术丛书)))设计分册[M]。北京:中国电力出版社,20xx。

[7]高翔数字化变电站应用技术[M]。北京:中国电力出版社,20xx。

[8]吴少华220kV变电站数字化改造工程[J]。广东电力,20xx,23(6):38—42。

[9]郭永基。电力系统可靠性分析[M]。北京:清华大学出版社,20xx。

[10]王钢,丁茂生,李晓华等。数字继电保护装置可靠性研究[J]。中国电机工程学报,20xx,24(7):47—52。

86 评论

香浓寻觅觅

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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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