Adaptive Backstepping Control of Uncertain Systems: Nonsmooth Nonlinearities, Interactions or Time-Variations

By Jing Zhou, C. Wen. 2008

310 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/457e4c15c9a7409b70f1e666a87ad383bbac4848

How researchers see this paper

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

1. Mou Chen
2. Lantao Xing
3. C. Wen
4. Yongduan Song
5. Hefu Ye
6. Zhitao Liu
7. H. Su
8. Frank L. Lewis

Citations in the corpus

• Adaptive Neural Output Feedback Control of Uncertain Nonlinear Systems With Unknown Hysteresis Using Disturbance Observer (2015, background): “Remark 1: Hysteresis as a common nonlinearity exists in a wide range of physical systems, such as piezoelectric actuators, electromagnetism, electronic circuits, motors, and so on [53].”
• Prescribed-Time Control and Its Latest Developments (2022, background): “Assumption 4 [110]: The function b(x, t), called control coefficient, satisfies b(x, t) ≡ b with b being an unknown nonzero constant.”
• Event-Triggered Output Feedback Control for a Class of Uncertain Nonlinear Systems (2019, background): “Remark 2: Different from the existing results in [24]–[26], this paper uses the event-triggered input signal to design the state estimator, see (6).”
• A Novel Composite Nonlinear Controller for Stabilization of Constant Power Load in DC Microgrid (2019, background): “Adaptive backstepping technique is one of the most effective nonlinear control design tools for solving stabilization and tracking problems [17] and it has been applied for power electronic converter systems [18]–[20].”
• Event-Triggered Adaptive Control for a Class of Uncertain Nonlinear Systems (2017, methodology): “The following class of nonlinear systems with unknown parameters are considered [17]:”
• High-order fully actuated system approaches: Part IV. Adaptive control and high-order backstepping (2020, background): “Secondly, nonlinear adaptive control designs based on backstepping control techniques for nonlinear systems with a cascade structure have gained much attention (see, e.g. Krstić et al., 1995; Zhou & Wen, 2008).”