Robust adaptive control of a class of nonlinear systems with unknown backlash-like hysteresis
By Chun-Yi Su, Y. Stepanenko, J. Svoboda, T. Leung. IEEE Transactions on Automatic Control, 2000
633 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Control and Systems Engineering, Electronic, Optical and Magnetic Materials
View Paper: https://www.semanticscholar.org/paper/70a3b53927a03988016e69a4567d688ca7f94938
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
In Control and Systems Engineering
In Electronic, Optical and Magnetic Materials
- Chun-Yi Su
- Guoying Gu
- Limin Zhu
- Mou Chen
- Shuzhi Sam Ge
- Thanh Nho Do
- Vahid Hassani
- Tegoeh Tjahjowidodo
Citations in the corpus
- Modeling and Control of Piezo-Actuated Nanopositioning Stages: A Survey (2016, methodology): “The hysteresis forms the main impediment to attaining the high-precision performance of the piezo-actuated systems, which leads, in the best case, to reduce the motion accuracy and, in the worst case, to destabilize the control system [47]–[50].”
- 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.”
- 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].”
- Motion Control of Piezoelectric Positioning Stages: Modeling, Controller Design, and Experimental Evaluation (2013, methodology): “According to the definition of the projection (40), the following properties [38] can be obtained: (P1) θ̂ ∈ Ωθ , if θ̂(t0) ∈ Ωθ ; (P2) φ̂ ∈ Ωφ , if φ̂(t0) ∈ Ωφ ; (P3) ‖proj(z;−y)‖ ≤ ‖y‖; (P4) −(z − z∗)T Λproj(z, −y) ≥ −(z − z∗)T Λz, where Λ is a positive definite symmetric matrix.”
- Adaptive variable structure control of a class of nonlinear systems with unknown Prandtl-Ishlinskii hysteresis (2005, background): “However, the discussions on the fusion of the available hysteresis models with the available control techniques is surprisingly spare [13], [18] in the literature.”
- Adaptive Neural Output Feedback Control of Uncertain Nonlinear Systems With Unknown Hysteresis Using Disturbance Observer (2015, methodology): “In [3], an adaptive control scheme was proposed for a nonlinear system by considering an unknown backlashlike hysteresis.”
- 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].”