A comparative study on the use of black box modelling for piezoelectric actuators
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Steven Grainger | Mohsen Bazghaleh | Morteza Mohammadzaheri | S. Grainger | M. Bazghaleh | M. Mohammadzaheri
[1] Faa-Jeng Lin,et al. An adaptive recurrent radial basis function network tracking controller for a two-dimensional piezo-positioning stage , 2008, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.
[2] David G. Vass,et al. Proceedings of the Society of Photo-optical Instrumentation Engineers (SPIE) , 1997 .
[3] Kuo-Ming Chang,et al. Adaptive Neural Network Control for Piezoelectric Hysteresis Compensation in A Positioning System , 2006, 2006 IEEE International Symposium on Industrial Electronics.
[4] Jie Zhu,et al. Implementation procedure for the generalized moving Preisach model based on a first order reversal curve diagram , 2009 .
[5] Luc Dupré,et al. Generalized scalar Preisach model for grain oriented materials excited along arbitrary directions , 2001 .
[6] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[7] Yonghong Tan,et al. Neural networks based identification and compensation of rate-dependent hysteresis in piezoelectric actuators , 2010 .
[8] Musa Jouaneh,et al. Generalized preisach model for hysteresis nonlinearity of piezoceramic actuators , 1997 .
[9] In Lee,et al. Vibration and actuation characteristics of composite structures with a bonded piezo-ceramic actuator , 1999 .
[10] G Shaver,et al. Piezoelectric Fuel Injection: Pulse-to-Pulse Coupling and Flow Rate Estimation , 2011, IEEE/ASME Transactions on Mechatronics.
[11] Alexander Schirrer,et al. Vibration damping of a flexible car body structure using piezo-stack actuators , 2008 .
[12] Wei Li,et al. Modeling Hysteresis in Piezo Actuator Based on Neural Networks , 2008, ISICA.
[13] F. Preisach. Über die magnetische Nachwirkung , 1935 .
[14] Thor Andreas Tangen,et al. Nonlinear propagation acoustics of dual-frequency wide-band excitation pulses in a focused ultrasound system. , 2010, The Journal of the Acoustical Society of America.
[15] M. Vidyasagar. An Elementary Derivation of the Large Deviation Rate Function for Finite State Markov Chains , 2014 .
[16] Nagi G. Naganathan,et al. Preisach modeling of hysteresis for piezoceramic actuator system , 2002 .
[17] Yonghong Tan,et al. RBF neural networks hysteresis modelling for piezoceramic actuator using hybrid model , 2007 .
[18] Faa-Jeng Lin,et al. Adaptive wavelet neural network control with hysteresis estimation for piezo-positioning mechanism , 2006, IEEE Transactions on Neural Networks.
[19] C. Visone,et al. Magnetic hysteresis modeling via feed-forward neural networks , 1998 .
[20] Faa-Jeng Lin,et al. Adaptive control with hysteresis estimation and compensation using RFNN for piezo-actuator , 2006, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[21] Jin Wei Liang,et al. Precision Control of a Piezo-Actuate System Using Fuzzy Sliding-Mode Control with Feedforward Predictor-Based Compensation , 2008 .
[22] Li Chuntao,et al. A neural networks model for hysteresis nonlinearity , 2004 .
[23] Yonghong Tan,et al. Modeling hysteresis in piezoelectric actuators using NARMAX models , 2009 .
[24] Wen-Fang Xie,et al. Neural network‐based adaptive control of piezoelectric actuators with unknown hysteresis , 2009 .
[25] Lei Chen,et al. A critical review of the most popular types of neuro control , 2012 .
[26] Jingjun Zhang,et al. Neural Network Predictive Control for Piezoelectric Smart Structures , 2008 .
[27] Riccardo Scorretti,et al. Quasistatic hysteresis modeling with feed-forward neural networks: Influence of the last but one extreme values , 2008 .
[28] Isotropic vector hysteresis modeling with feed-forward neural networks , 2002 .
[29] Hong Chen,et al. Approximation capability in C(R¯n) by multilayer feedforward networks and related problems , 1995, IEEE Trans. Neural Networks.
[30] Han-Xiong Li,et al. Feedback-Linearization-Based Neural Adaptive Control for Unknown Nonaffine Nonlinear Discrete-Time Systems , 2008, IEEE Transactions on Neural Networks.
[31] Elias B. Kosmatopoulos,et al. Analysis and modification of Volterra/Wiener neural networks for the adaptive identification of non-linear hysteretic dynamic systems , 2004 .
[32] Mohammed Douimi,et al. Piezo-actuators modeling for smart applications , 2011 .
[33] Lei Chen,et al. Intelligent predictive control of a model helicopter's yaw angle , 2010 .
[34] Seung-Woo Kim,et al. Improvement of scanning accuracy of PZT piezoelectric actuators by feed-forward model-reference control , 1994 .
[35] Norman M. Wereley,et al. Frequency response of beams with passively constrained damping layers and piezoactuators , 1998, Smart Structures.
[36] Jooyoung Park,et al. Approximation and Radial-Basis-Function Networks , 1993, Neural Computation.
[37] Hui Chen,et al. Corrigendum to “A neural networks based model for rate-dependent hysteresis for piezoceramic actuators” [Sens. Actuators A 143 (2008) 370–376] , 2008 .
[38] J. Soderkvist. Using FEA to treat piezoelectric low-frequency resonators , 1998, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[39] Isaak D. Mayergoyz,et al. Dynamic Preisach models of hysteresis , 1988 .
[40] Dongwoo Song,et al. Modeling of piezo actuator’s nonlinear and frequency dependent dynamics , 1999 .
[41] Ye-Hwa Chen,et al. Piezomechanics using intelligent variable-structure control , 2001, IEEE Trans. Ind. Electron..
[42] Lei Chen,et al. Hybrid intelligent control of an infrared dryer , 2010 .
[43] Xinliang Zhang,et al. A hybrid model for rate-dependent hysteresis in piezoelectric actuators , 2010 .
[44] Hong Chen,et al. Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its application to dynamical systems , 1995, IEEE Trans. Neural Networks.
[45] Musa Jouaneh,et al. Modeling hysteresis in piezoceramic actuators , 1995 .
[46] Ali Ghaffari,et al. Identification and control of power plant de-superheater using soft computing techniques , 2007, Eng. Appl. Artif. Intell..
[47] Yudong Zhang,et al. IMAGE-BASED HYSTERESIS MODELING AND COMPENSATION FOR AN AFM PIEZO-SCANNER , 2009 .
[48] S. Masri,et al. Robust Adaptive Neural Estimation of Restoring Forces in Nonlinear Structures , 2001 .
[49] Peter Doel,et al. A 1-metre Ni coated CFRP demonstrator for large deformable mirrors , 2010 .
[50] Le Yi Wang,et al. Identification of cascaded systems with linear and quantized observations , 2009 .
[51] Jingyan Dong,et al. Development of a High-Bandwidth XY Nanopositioning Stage for High-Rate Micro-/Nanomanufacturing , 2011, IEEE/ASME Transactions on Mechatronics.
[52] Hong Chen,et al. Approximation capability to functions of several variables, nonlinear functionals, and operators by radial basis function neural networks , 1993, IEEE Trans. Neural Networks.
[53] Hao Ying,et al. General Takagi-Sugeno fuzzy systems are universal approximators , 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).
[54] Jianzhong Xu,et al. Active control of fluctuating pressure induced by blade-vortex interaction , 2011 .
[55] Hao Ying,et al. General SISO Takagi-Sugeno fuzzy systems with linear rule consequent are universal approximators , 1998, IEEE Trans. Fuzzy Syst..
[56] Hui Chen,et al. A neural networks based model for rate-dependent hysteresis for piezoceramic actuators , 2008 .
[57] Luc Dupré,et al. Modeling of quasistatic magnetic hysteresis with feed-forward neural networks , 2001 .
[58] David C. Zimmerman,et al. An implicit method for the nonlinear modelling and simulation of piezoceramic actuators displaying hysteresis , 1991 .
[59] Yonghong Tan,et al. Modeling of hysteresis in piezoelectric actuators using neural networks , 2009 .
[60] Ali Ghaffari,et al. A combination of linear and nonlinear activation functions in neural networks for modeling a de-superheater , 2009, Simul. Model. Pract. Theory.
[61] Bijan Shirinzadeh,et al. Robust Adaptive Constrained Motion Tracking Control of Piezo-Actuated Flexure-Based Mechanisms for Micro/Nano Manipulation , 2011, IEEE Transactions on Industrial Electronics.