Adaptive dynamic surface control of a class of pure feedback systems preceded by generalized P‐I hysteresis

[1]  Olaf Klein,et al.  Outwards pointing hysteresis operators and asymptotic behaviour of evolution equations , 2003 .

[2]  Pavel Krejcí,et al.  Existence, Uniqueness and L∞-stability of the Prandtl-Ishlinskii Hysteresis and Creep Compensator , 2008, Eur. J. Control.

[3]  C. L. Philip Chen,et al.  Adaptive Inversion-Based Fuzzy Compensation Control of Uncertain Pure-Feedback Systems With Asymmetric Actuator Backlash , 2017, IEEE Transactions on Fuzzy Systems.

[4]  Shaocheng Tong,et al.  Barrier Lyapunov Functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints , 2016, Autom..

[5]  Yue Wang,et al.  Adaptive Estimated Inverse Output-Feedback Quantized Control for Piezoelectric Positioning Stage , 2019, IEEE Transactions on Cybernetics.

[6]  Yan Lin,et al.  Adaptive tracking control for a class of pure-feedback non-linear systems including actuator hysteresis and dynamic uncertainties , 2011 .

[7]  Shuzhi Sam Ge,et al.  Adaptive Neural Output Feedback Control of Uncertain Nonlinear Systems With Unknown Hysteresis Using Disturbance Observer , 2015, IEEE Transactions on Industrial Electronics.

[8]  Chun-Yi Su,et al.  Robust adaptive control of a class of nonlinear systems with unknown backlash-like hysteresis , 2000, IEEE Trans. Autom. Control..

[9]  Tianyou Chai,et al.  Nonlinear Control of Systems Preceded by Preisach Hysteresis Description: A Prescribed Adaptive Control Approach , 2016, IEEE Transactions on Control Systems Technology.

[10]  Ying Zhang,et al.  Adaptive backstepping control of a class of uncertain nonlinear systems with unknown backlash-like hysteresis , 2004, IEEE Trans. Autom. Control..

[11]  Xinkai Chen,et al.  Adaptive Control for Uncertain Continuous-Time Systems Using Implicit Inversion of Prandtl-Ishlinskii Hysteresis Representation , 2010, IEEE Transactions on Automatic Control.

[12]  Shuzhi Sam Ge,et al.  Adaptive Neural Control for a Class of Uncertain Nonlinear Systems in Pure-Feedback Form With Hysteresis Input , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[13]  Shaocheng Tong,et al.  Adaptive neural networks output feedback dynamic surface control design for MIMO pure-feedback nonlinear systems with hysteresis , 2016, Neurocomputing.

[14]  Xin Chen,et al.  Adaptive Neural Control for a Class of Nonlinear Time-Varying Delay Systems With Unknown Hysteresis , 2014, IEEE Transactions on Neural Networks and Learning Systems.

[15]  Chun-Yi Su,et al.  Robust Adaptive Inverse Control of a Class of Nonlinear Systems With Prandtl-Ishlinskii Hysteresis Model , 2014, IEEE Transactions on Automatic Control.

[16]  Yan Lin,et al.  Implementable Adaptive Inverse Control of Hysteretic Systems via Output Feedback With Application to Piezoelectric Positioning Stages , 2016, IEEE Transactions on Industrial Electronics.

[17]  Yan Lin,et al.  Adaptive Neural Network Dynamic Surface Control for a Class of Time-Delay Nonlinear Systems With Hysteresis Inputs and Dynamic Uncertainties , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[18]  M. Al Janaideh,et al.  Inverse Rate-Dependent Prandtl–Ishlinskii Model for Feedforward Compensation of Hysteresis in a Piezomicropositioning Actuator , 2013, IEEE/ASME Transactions on Mechatronics.