參考文獻 |
[1] N. C. Bird, T. J. Stephenson, B. Ross, and A. G. Johnson, “Effects of piezoelectric lithotripsy on human DNA,” Ultrasound in Medicine & Biology, vol. 21, no. 3, pp. 399-403, 1995.
[2] D. Dalecki, C. H. Raeman, S. Z. Child, and E. L. Carstensen, “Thresholds for intestinal hemorrhage in mice exposed to a piezoelectric lithotripter,” Ultrasound in Medicine & Biology, vol. 21, no. 9, pp. 1239-1246, 1995.
[3] A. Katsuki, H. Onikura, T. Sajima, T. Takei, and D. Thiele, “Development of a high-performance laser-guided deep-hole boring tool: Optimal determination of reference origin for precise guiding,” Precision Engineering, vol. 24, no, 1, pp. 9-14, 2000.
[4] J. F. Cuttino, Jr. A. C. Miller, and D. E. Schinstock, “Performance optimization of a fast tool servo for single-point diamond turning machines,” IEEE/ASME Trans. Mechatronics, vol. 4, no, 2, pp. 169-179, 1999.
[5] M. A. Paesler, and P. J. Moyer, Near-Field Optics: Theory, Instrumentation, and Applications. New York: John Wiley & Sons, 1996.
[6] T. R. Hsu, MEMS and Microsystems: Design and Manufacture. New York: McGraw-Hill, 2002.
[7] J. W. Gardner, V. K. Varadan, and O. O. Awadekarim, Microsensors, MEMS and Smart Devices. New York: John Wiley & Sons, 2001.
[8] X. Chen and T. Hisayama, “Adaptive sliding-mode position control for piezo-actuated stage,” IEEE Trans. Ind. Electron., vol. 55, no. 11, pp. 3927-3934, 2008.
[9] S. Bashash and N. Jalili, “Robust multiple frequency trajectory tracking control of piezoelectrically driven micro/nanopositioning systems,” IEEE Trans. Control Syst. Technol., vol. 15, no. 5, pp. 867-878, 2007.
[10] I. D. Mayergoyz, “Dynamic Preisach models of hysteresis,” IEEE Trans. Magnetics, vol. 24, no. 6, pp. 2925-2927, 1988.
[11] Y. Bernard, E. Mendes, and F. Bouillault, “Dynamic hysteresis modeling based on Preisach model,” IEEE Trans. Magnetics, vol. 38, no. 2, pp. 885-888, 2002.
[12] P. N. Sreeram, G. Salvady, and N. G. Naganatham, “Hysteresis prediction for a piezoceramic material system,” in Proc. ASME Winter Annual Meeting, vol. 35, pp. 35-42, 1993.
[13] D. Song and C. J. Li, “Modeling of piezo actuator’s nonlinear and frequency dependent dynamics,” Mechatronics, vol. 9, no. 4, pp. 391-410, 1999.
[14] S. Mittal and C. H. Menq, “Hysteresis compensation in electromagnetic actuators through Preisach model inversion,” IEEE/ASME Trans. Mechatronics, vol. 5, no. 4, pp. 394-409, 2000.
[15] A. Reimers and E. D. Torre, “Fast preisach-based magnetization model and fast inverse hysteresis model,” IEEE Trans. Magnetics, vol. 34, no. 6, pp. 3857-3866, 1998.
[16] M. Goldfarb and N. Celanovic, “Modeling piezoelectric stack actuators for control of micromanipulation,” IEEE Control Systems Magazine, vol. 17, no. 3, pp. 69-79, 1997.
[17] D. Croft and S. Devasia, “Hysteresis and virbration compensation for piezoactuators,” Journal of Guidance, Control and Dynamic, vol. 21, no. 5, pp. 710-717, 1998.
[18] J. D. Kim and S. R. Nam, “A piezoelectrically driven micro-positioning system for the ductile-mode grinding of brittle materials,” Journal of Materials Processing Technology, vol. 61, no. 3, pp.309-319, 1996.
[19] H. J. M. T. S. Adriaens, W. De Koning, and R. Banning, “Modeling piezoelectric actuators,” IEEE/ASME Trans. Mechatronics, vol. 5, no. 4, pp. 331-341, 2000.
[20] J. J. Tzen, S. L. Jeng, and W. H. Chieng, “Modeling of piezoelectric actuator for compensation and controller design,” Precision Engineering, vol. 27, no. 1, pp. 70-86, 2003.
[21] T. S. Low and W. Guo, “Modeling of a three-layer piezoelectric bimorph beam with hysteresis,” IEEE Journal of Microelectromechanical Systems, vol. 4, no. 4, pp. 230-237, 1995.
[22] B. M. Chen, T. H. Lee, C. C. Hang, Y. Guo, and S. Weerasooriya, “An H∞ almost disturbance decoupling robust controller design for a piezoelectric bimorph actuator with hysteresis,” IEEE Trans. Control Systems Technology, vol. 7, no. 2, pp. 160-174, 1999.
[23] M. Todd and K. Johnson, “A model for coulomb torque hysteresis in ball bearings,” International Journal of Mechanical Science, vol. 29, no. 5, pp. 339-354, 1987.
[24] B. A. Awaddy, W. C. Shih, and D. M. Auslander, “Nanometer positioning of a linear motion stage under static loads,” IEEE/ASME Trans. Mechatronics, vol. 3, no. 2, pp. 113-119, 1998.
[25] D. Helmick and W. Messner, “Higher order modeling of hysteresis in disk drive actuators,” in Proc. IEEE International Conference Decision and Control, vol. 4, pp. 3712-3716, 2003.
[26] C. C. De Wit, H. Olsson, K. J. Åström, and P. Lischinsky, “A new model for control of systems with friction,” IEEE Trans. Automatic Control, vol. 40, no. 3, pp. 419-425, 1995.
[27] S. Bashash and N. Jalili, “Robust adaptive control of coupled parallel piezo-flexural nanopositioning stages,” IEEE/ASME Trans. Mechatronics, vol. 14, no. 1, pp. 11-20, 2009.
[28] F. J. Lin, P. H. Shieh, and P. H. Chou, “Robust adaptive backstepping motion control of linear ultrasonic motors using fuzzy neural network,” IEEE Trans. Fuzzy Sys., vol. 16, no. 3, pp. 676-692, 2008.
[29] J. S. Bang, H. Shim, S. K. Park, and J. H. Seo, “Robust tracking and vibration suppression for a two-inertia system by combining backstepping approach with disturbance observer,” IEEE Trans. Ind. Electron., vol. 57, no. 9, pp. 3197-3206, 2010.
[30] F. J. Lin, H. J. Shieh, and P. K. Huang, “Adaptive wavelet neural network control with hysteresis estimation for piezo-positioning mechanism,” IEEE Trans. Neural Networks, vol. 17, no. 2, pp. 432-444, 2006.
[31] T. W. S. Chow and Y. Fang, “A recurrent neural-network-based real-time learning control strategy applying to nonlinear systems with unknown dynamics,” IEEE Trans. Ind. Electron., vol. 45, no. 1, pp. 151-161, 1998.
[32] B. Xu, Z. Shi, C. Yang, and F. Sun, ”Composite neural dynamic surface control of a class of uncertain nonlinear systems in strict-feedback form,” IEEE Trans. on Cybernetics, vol. pp, no. 99, pp. 1, 2014.
[33] B. Xu, C. Yang, and Z. Shi, “Reinforcement learning output feedback NN control using deterministic learning technique,” IEEE Trans. on Neural Networks and Learning Systems, vol. 25, no. 3, pp. 635-641, 2014.
[34] A. U. Levin and K. S. Narendra, “Control of nonlinear dynamical systems using neural networks-Part II: observability, identification, and control,” IEEE Trans. Neural Networks, vol. 7, no. 1, pp. 30-42, 1996.
[35] C. F. Hsu, “Intelligent position tracking control for LCM drive using stable online self-constructing recurrent neural network controller with bound architecture,” Control Engineering Practice, vol. 17, no. 6, pp. 714-722, 2009.
[36] C. H. Lu, “Design and application of stable predictive controller using recurrent wavelet neural networks,” IEEE Trans. Ind. Electron., vol. 56, no. 9, pp. 3733-3742, 2009.
[37] C. F. Juang, Y. C. Chang, and C. M. Hsiao, “Evolving gaits of a hexapod robot by recurrent neural networks with symbiotic species-based particle swarm optimization,” IEEE Trans. Ind. Electron., vol. 58, no. 7, pp. 3110-3119, 2011.
[38] F. J. Lin, H. J. Shieh, P. H. Shieh, and P. H. Shen, “An adaptive recurrent-neural-network motion controller for x–y table in CNC machine,” IEEE Trans. Sys., Man, Cybern. B, Cybernetics, vol. 36, no. 2, pp. 286-299, 2006.
[39] F. J. Lin, H. J. Shieh, L. T. Teng and P. H. Shieh, “Hybrid controller with recurrent neural network for magnetic levitation system,” IEEE Trans. Magnetics, vol. 41, no. 7, pp. 2260 – 2269, 2005.
[40] J. S. R. Jang, C. T. Sun, and E. Mizutani, “Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence,” IEEE Trans. Autom. Control, vol. 42, no. 10, pp. 1482-1484, 1997.
[41] J. S. R. Jang and C. T. Sun, “Functional equivalence between radial basis function networks and fuzzy inference systems,” IEEE Trans. Neural Networks, vol. 4, no, 1, pp. 156-159, 1993.
[42] P. H. Shen and F. J. Lin, “Intelligent backstepping sliding-mode control using RBFN for two-axis motion control system,” IEE Proc. Electric Power Appl., vol. 152, no. 5, pp. 1321-1342, 2000.
[43] S. Chen, X. Hong, and C. J. Harris, “Sparse multioutput radial basis function network construction using combined locally regularised orthogonal least square and D-optimality experimental design,” IEE Proc. Control Theory Appl., vol. 150, no. 2, pp. 136-146, 2003.
[44] Y. Hao, X. Tiantian, S. Paszczynski, and B. M. Wilamowsk, “Advantages of radial basis function networks for dynamic system design,” IEEE Trans. Ind. Electron., vol. 58, no. 12, pp. 5438-5450, 2011.
[45] H. Y. Pan, C. H. Lee, F. K. Chang, and S. K. Chang, “Construction of asymmetric type 2 fuzzy membership function and application in time series prediction,” in Proc. Int. Conf. Machine Learning and Cybernetics, pp. 2024-2030, 2007.
[46] K. H. Cheng, C. F. Hsu, C. M. Lin, T. T. Lee, and C. Li, “Fuzzy neural sliding mode control for dc-dc converters using asymmetric gaussian membership functions,” IEEE Trans. Ind. Electro., vol. 54, no. 3, pp. 1528-1536, 2004.
[47] F. J. Lin and P. H. Chou, “FPGA based functional link radial basis function network control for PMLSM servo drive system,” in Proc. IEEE Conf. Power Electro., pp. 1377-1382, 2010.
[48] J. C. Patra and R. N. Pal, “A functional link artificial neural network for adaptive channel equalization,” Signal Processing, vol. 43, pp. 181-195, 1995.
[49] J. C. Patra and A. C. Kot, “Nonlinear dynamic system identification using chebyshev functional link artificial neural networks,” IEEE Trans. Syst. Man Cybern. B, vol. 32, no. 4, pp. 505-511 , 2002.
[50] M. Li, J. Liu, Y. Jiang, and W. Feng, “Complex-chebyshev functional link neural network behavioral model for broadband wireless power amplifiers,” IEEE Trans. Micro. Theory Tech., vol. 60, no. 6, pp. 1979-1989, 2012.
[51] C. H. Chen, C. T. Lin, and C. J. Lin, “A functional-link-based fuzzy neural network for temperature control,” Proc. IEEE Foundations of Computational Intelligence Conf., pp. 53-58, 2007.
[52] J. L. Elman, “Finding structure in time,” Cogn. Sci., 14, pp. 179–211, 1990.
[53] F. J. Lin and Y. C. Hung, “FPGA-based Elman neural network control system for linear ultrasonic motor,” IEEE Trans. Ultrason. Ferroelect., Freq. Control., vol. 56, no. 1, pp. 101–113, 2009.
[54] X. Li, G. Chen, Z. Chen, and Z. Yuan, “Chaotifying linear Elman networks,” IEEE Trans. Neural Netw., vol. 13, no. 5, pp. 1193–1199, 2002.
[55] D. T. Pham and X. Liu, “Training of Elman networks and dynamic system modelling,” Int. J. Syst. Sci., vol. 27, no. 2, pp. 221–226, 1996.
[56] J. B. Mbede, X. Huang, and M. Wang, “Robust neuro-fuzzy sensor-based motion control among dynamic obstacles for robot manipulators,” IEEE Trans. Fuzzy Syst., vol. 11, no. 2, pp. 249–261, 2003.
[57] H. Liu, S. Wang, and P. Ouyang, ”Fault diagnosis based on improved Elman neural network for a hydraulic servo system,” Int. Conf. on Robotics, Automation and Mechatronics, pp. 1–6, 2006.
[58] Y. Tan, J. Chang, H. Tan, and J. Hu, “Integral backstepping control and experimental implementation for motion system,” IEEE Proc. Control Appl. Conf., pp. 367-372, 2000.
[59] H. J. Shieh and C. H. Hsu, “An adaptive approximator-based backstepping control approach for piezoactuator-driven stages,” IEEE Trans. Ind. Electron., vol. 55, no. 4, pp. 1729-1738, 2008.
[60] C. C. Hua, P. X. Liu, and X. P. Guan, “Backstepping control for nonlinear systems with time delays and applications to chemical reactor systems,” IEEE Trans. Ind. Electron., vol. 56, no. 9, pp. 3723- 732, 2009.
[61] J. J. E. Slotine and W. Li, Applied Nonlinear Control. Englewood Cliffs, NJ: Prentice-Hall, 1991.
[62] B. Xu, X. Huang, D. Wang, and F. Sun, “Dynamic surface control of constrained hypersonic flight models with parameter estimation and actuator compensation,” Asian Journal of Control, vol. 16, no.1, pp. 162-174, 2014.
[63] B. Xu, F. Sun, H. Liu, and J. Ren, “Adaptive kriging controller design for hypersonic flight vehicle via back-stepping,” IET Control Theory and Applications, vol. 6, no. 4, pp. 487-497, 2012.
[64] G. Bartolini, A. Ferrara, L. Giacomini, and E. Usai, “Properties of a combined adaptive/second-order sliding mode control algorithm for some classes of uncertain nonlinear systems,” IEEE Trans. Autom. Control, vol. 45, no. 7, pp. 1334-1341, 2000.
[65] G. Foo and M. F. Rahman, “Sensorless sliding-mode MTPA control of an IPM synchronous motor drive using a sliding-mode observer and HF signal injection,” IEEE Trans. Ind. Electron., vol. 57, no. 4, pp. 1270-1278, 2010.
[66] S. J. Zhang and Y. Xia, “Design of static output feedback sliding mode control for uncertain linear systems,” IEEE Trans. Ind. Electron., vol. 57, no. 6, pp. 2161-2170, 2010.
[67] B. Veselic, B. Perunicic-Drazenovic, and C. Milosavljevic, “Improved discrete-time sliding-mode position control using Euler velocity estimation,” IEEE Trans. Indust. Electron., vol. 57, no. 11, pp. 3840-3847, 2010.
[68] F. Esfandiari and H. K. Khalil, “Stability analysis of a continuous implementation of variable structure control,” IEEE Trans. Automatic Control, vol. 36, no. 5, pp. 616-620, 1991.
[69] S. N. Huang, K. K. Tan, and T. H. Lee, “Sliding-mode monitoring and control of linear drives ” IEEE Trans. Indust. Electron., vol. 56, no. 9, pp. 3532-3540, 2009.
[70] X. Yu and O. Kaynak, “Sliding-mode control with soft computing: a survey,” IEEE Trans. Indust. Electron., vol. 56, no. 9, pp. 3275-3285, 2009.
[71] B. Beltran, T. Ahmed-Ali, and M. Benbouzid, “High-order sliding-mode control of variable-speed wind turbines,” IEEE Trans. Indust. Electron., vol. 56, no. 9, pp. 3314-3321, 2009.
[72] M. Zhihong and X. H. Yu, “Terminal sliding mode control of MIMO linear systems,” IEEE Trans. Circuits Syst. I, Fundam. Theory Appl., vol. 44, no. 11, pp. 1065–1070, Nov. 1997.
[73] S. Yua, X. Yub, B. Shirinzadehc, and Z. Mand, “Continuous finite-time control for robotic manipulators with terminal sliding mode,” Automatica, vol. 41, pp. 1957–1964, 2005.
[74] Y. Feng, X. Yu, and Z. Man, “Nonsingular terminal sliding mode control of rigid manipulators,” Automatica, vol. 38, pp. 2159–2167, 2002.
[75] C. K. Lin, “Nonsingular terminal sliding mode control of robot manipulators using fuzzy wavelet networks,” IEEE Trans. Fuzzy Syst., vol. 14, no. 6, pp. 849–859, Dec. 2006.
[76] C. W. Tao, J. S. Taur, and M. L. Chan, “Adaptive fuzzy terminal sliding mode controller for linear systems with mismatched time-varying uncertainties,” IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 34, no. 1, pp. 255–262, Feb. 2004.
[77] S. H. Lee, J. B. Park, and Y. H. Choi, “Terminal sliding mode control of nonlinear chaotic systems using self-recurrent wavelet neural network,” in Proc. Int. Conf. Control, Autom. Syst., Seoul, Korea, pp. 1671–1676, 2007.
[78] S. Qiang, S. Hu, G. Chen, and J. Junpeng, “Research on the cusp electromagnetic field in single crystal furnace,” Power and Energy Engineering Conf., pp. 1-4, 2011.
[79] M. Paul, “ A self-calibrating mathematical model for the direct piezoelectric effect of a new mens tilt sensor,” Eensors Journal, 2011.。
[80] W. G. Cady, Piezoelectricity, Dover Publications, New York, vol. 1, pp. 177-235, 1964.
[81] F. J. Lin, S. Y. Lee, and P. H. Chou, “Intelligent nonsingular terminal sliding-mode control using MIMO elman neural network for piezo-flexural nanopositioning stage,” IEEE Trans. Ultra. Ferro. and Freq. Ctrl., vol. 59, no.12, pp. 2716-2730, 2012.
[82] C. H. Lee and C. C. Teng, “Identification and control of dynamic systems using recurrent fuzzy neural networks,” IEEE Trans. Fuzzy Sys., vol. 8, no. 4, pp. 349-366, 2000.
[83] C. M. Wen and M. Y. Cheng, “Development of a recurrent fuzzy CMAC with adjustable input space quantization and self-tuning learning rate for control of a dual-axis piezoelectric actuated micro motion stage,” IEEE Trans. Indus. Electro., vol. 60, no. 11, pp. 5105-5115, 2013.
[84] C. Laufer and G. Coghill, “Regularization for the kernel recursive least squares CMAC,” IEEE International Joint Conference Neural network, pp.1-8, 2012.
|