Page 290 - Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics
P. 290
292 Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics
[2] K. Jalaleddini, R.E. Kearney, Subspace identification of SISO Hammerstein systems:
application to stretch reflex identification, IEEE Transactions on Biomedical Engineer-
ing 60 (10) (2013) 2725–2734.
[3] G. van der Veen, J.-W. van Wingerden, M. Verhaegen, Global identification of wind
turbines using a Hammerstein identification method, IEEE Transactions on Control
Systems Technology 21 (4) (2013) 1471–1478.
[4] X. Lv, X. Ren, Non-iterative identification and model following control of Ham-
merstein systems with asymmetric dead-zone non-linearities, IET Control Theory
Applications 6 (1) (2012) 84–89.
[5] Jing Na, Adaptive prescribed performance control of nonlinear systems with unknown
dead zone, International Journal of Adaptive Control and Signal Processing 27 (5)
(2013) 426–446.
[6] Janaideh Mohammad Al, Jin Yan, D’Amato Anthony, Bernstein Dennis, Retrospective-
cost adaptive control of uncertain Hammerstein-Wiener systems with memoryless and
hysteretic nonlinearities, in: AIAA Guidance, Navigation, and Control Conference,
2012, pp. 1–26.
[7] Guoqi Li, Changyun Wen, Convergence of fixed-point iteration for the identification
of Hammerstein and Wiener systems, International Journal of Robust and Nonlinear
Control 23 (13) (2013) 1510–1523.
[8] E.-W. Bai, Minyue Fu, A blind approach to Hammerstein model identification, IEEE
Transactions on Signal Processing 50 (7) (2002) 1610–1619.
[9] Chengpu Yu, Cishen Zhang, Lihua Xie, A new deterministic identification approach to
Hammerstein systems, IEEE Transactions on Signal Processing 62 (1) (2014) 131–140.
[10] V. Cerone, D. Piga, D. Regruto, Computational load reduction in bounded error iden-
tification of Hammerstein systems, IEEE Transactions on Automatic Control 58 (5)
(2013) 1317–1322.
[11] Erwei Bai, Qingyu Li, Soura Dasgupta, Blind identifiability of IIR systems, Automatica
38 (1) (2002) 181–184.
[12] H. Aschemann, D. Schindele, Comparison of model-based approaches to the compen-
sation of hysteresis in the force characteristic of pneumatic muscles, IEEE Transactions
on Industrial Electronics 61 (7) (2014) 3620–3629.
[13] Xiaobo Tan, J.S. Baras, Adaptive identification and control of hysteresis in smart mate-
rials, IEEE Transactions on Automatic Control 50 (6) (2005) 827–839.
[14] Lei Liu, Kok Kiong Tan, Si-Lu Chen, Sunan Huang, Tong Heng Lee, SVD-based
Preisach hysteresis identification and composite control of piezo actuators, ISA Trans-
actions 51 (3) (2012) 430–438.
[15] Tianjiang Hu, K.H. Low, Lincheng Shen, Xin Xu, Effective phase tracking for bioin-
spired undulations of robotic fish models: a learning control approach, IEEE/ASME
Transactions on Mechatronics 19 (1) (2014) 191–200.
[16] Frank J. Goforth, Qing Zheng, Zhiqiang Gao, A novel practical control approach for
rate independent hysteretic systems, ISA Transactions 51 (3) (2012) 477–484.
[17] Guo-Ying Gu, Li-Min Zhu, Chun-Yi Su, Modeling and compensation of asymmetric
hysteresis nonlinearity for piezoceramic actuators with a modified Prandtl-Ishlinskii
model, IEEE Transactions on Industrial Electronics 61 (3) (2014) 1583–1595.
[18] Xuehui Gao, Xuemei Ren, Xing’an Gong, Jie Huang, The identification of Preisach
hysteresis model based on piecewise identification method, in: Chinese Control Con-
ference, 2013, pp. 1680–1685.