Adaptive backstepping control of a class of uncertain nonlinear systems with unknown backlash-like hysteresis

By Jing Zhou, C. Wen, Y. Zhang. IEEE Transactions on Automatic Control, 2004

545 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electronic, Optical and Magnetic Materials, Materials Chemistry

View Paper: https://www.semanticscholar.org/paper/195f9d5eea4cc4665fd489da9a758cbb0202f926

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Shaocheng Tong
2. Yong-ming Li
3. Tie-shan Li
4. Chun-Yi Su
5. Shuzhi Sam Ge
6. Gang Feng
7. Limin Zhu
8. Guoying Gu

In Electronic, Optical and Magnetic Materials

1. Chun-Yi Su
2. Guoying Gu
3. Limin Zhu
4. Thanh Nho Do
5. Vahid Hassani
6. Tegoeh Tjahjowidodo
7. Wen Wang
8. C. Wen

In Materials Chemistry

1. Chun-Yi Su
2. Wen Wang
3. Guoying Gu
4. Limin Zhu
5. C. Wen
6. JianQin Mao
7. Xiuyu Zhang
8. Yan Lin

Citations in the corpus

• Adaptive Neural Output Feedback Control of Uncertain Nonlinear Systems With Unknown Hysteresis Using Disturbance Observer (2015, unknown): “2455053 extensive attentions [1], [2].”
• A DSC Approach to Robust Adaptive NN Tracking Control for Strict-Feedback Nonlinear Systems (2008, methodology): “Recently, the adaptive backstepping approach has been extended to many control designs for many classes of systems [5], [6].”
• Adaptive variable structure control of a class of nonlinear systems with unknown Prandtl-Ishlinskii hysteresis (2005, methodology): “As an illustration, this note presents such a possibility by fusing the PI models with the adaptive variable structure control approach [18] to mitigate the effects of the hysteresis without constructing the inverse hysteresis nonlinearity.”
• Robust Adaptive Control of Uncertain Nonlinear Systems in the Presence of Input Saturation and External Disturbance (2011, background): “Some robustness issues have also been addressed, see for examples, [20], [21].”
• Robust Adaptive Control of Coupled Parallel Piezo-Flexural Nanopositioning Stages (2009, background): “Few works have addressed robust adaptive scheme together in their control design, but have mainly focused on the theoretical aspects [26], [27].”
• Modeling and Control of Piezo-Actuated Nanopositioning Stages: A Survey (2016, methodology): “Thus, the conventional robust control approaches can be utilized to deal with the hysteresis without constructing the inverse of the hysteresis [20], [47], [77], [78].”
• Adaptive actuator failure compensation control of uncertain nonlinear systems with guaranteed transient performance (2010, methodology): “However, the transient performance is tunable only if certain trajectory initialization can be performed, see for example Krstic et al. (1995) and Zhou, Wen, and Zhang (2004).”
• A robust adaptive dynamic surface control for a class of nonlinear systems with unknown Prandtl–Ishilinskii hysteresis (2011, methodology): “In [12] and [13], for a class of nonlinear plants preceded by hysteresis, based on backlash-like hysteresis models, a robust adaptive control scheme was proposed, which makes the tracking error converge to a desired precision without constructing a hysteresis inverse.”
• Adaptive output control of nonlinear systems with uncertain dead-zone nonlinearity (2006, background): “We consider the same class of systems as in [8], [10], and [11].”
• A survey on hysteresis modeling, identification and control (2014, background): “In [147,148], a smooth robust adaptive backstepping control of a class of uncertain nonlinear systems with unknown backlash hysteresis is introduced.”