Robust adaptive control for a class of uncertain strict‐feedback nonlinear systems

By Fan Hong, Shuzhi Sam Ge, Beibei Ren, Tong-heng Lee. 2009

48 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/47f80b6f960fc0565c3ecfe9510ed85794f1f6ff

How researchers see this paper

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

In Computational Theory and Mathematics

1. Yongduan Song
2. Kai Zhao
3. Chun-Yi Su
4. Xingjian Wang
5. Chenguang Yang
6. Jianyong Yao
7. Zhijun Li
8. Yanan Li

In Computer Networks and Communications

1. Chun-Yi Su
2. Xingjian Wang
3. Chenguang Yang
4. Jianyong Yao
5. Yongduan Song
6. Zhijun Li
7. Yanan Li
8. Wenxiang Deng

In Control and Systems Engineering

1. Wenxiang Deng
2. Zhijun Li
3. Kai Zhao
4. Yongduan Song
5. Chun-Yi Su
6. Xingjian Wang
7. Chenguang Yang
8. Jianyong Yao

Citations in the corpus

• Teleoperation Control Based on Combination of Wave Variable and Neural Networks (2017, background): “Due to the existence of uncertainties in practical applications [13], the research on controlling the uncertain robot system becomes significantly important.”
• Active Disturbance Rejection Adaptive Control of Hydraulic Servo Systems (2017, methodology): “To enhance the robustness of adaptive controllers, many robust adaptive control schemes have been investigated, see [10]–[13].”
• Removing the Feasibility Conditions Imposed on Tracking Control Designs for State-Constrained Strict-Feedback Systems (2019, background): “As for Assumption 4, with certain crude information on fi , it is always possible to establish such relation [4], [25], [26].”