什么是一类非线性系统的跟踪控制

发布网友发布时间：2022-04-20 21:55

共2个回答

热心网友时间：2023-07-10 03:19

电气自动化方面的英文书籍[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 Zhu. 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 Ecation 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 S.New 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.

热心网友时间：2023-07-10 03:20

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