Observer-Based Adaptive Backstepping Consensus Tracking Control for High-Order Nonlinear Semi-Strict-Feedback Multiagent Systems

By Chun Lung Philip Chen, Guoxing Wen, Yanjun Liu, Zhi Liu. IEEE Transactions on Cybernetics, 2016

548 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/e1681a912880e55abff138f69a2e2f848d3e71a3

How researchers see this paper

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

In Computer Networks and Communications

1. Chun Lung Philip Chen
2. Guoxing Wen
3. Zhi Liu
4. Chenguang Yang
5. Yanjun Liu
6. Y. Li
7. Wei He
8. Changyin Sun

In Control and Systems Engineering

1. Chun Lung Philip Chen
2. Yanjun Liu
3. Guoxing Wen
4. Zhi Liu
5. Chenguang Yang
6. Rongxin Cui
7. Sanjay K. Sharma
8. Y. Li

Citations in the corpus

• Adaptive Neural Network Control of AUVs With Control Input Nonlinearities Using Reinforcement Learning (2017, methodology): “A disturbance observer is another main method that has been used to compensate for unknown external disturbances [11], [20], [29]–[32].”
• Neural Network-Based Adaptive Leader-Following Consensus Control for a Class of Nonlinear Multiagent State-Delay Systems (2017, background): “In recent years, a few nonlinear consensus controls have been reported and received considerable attentions, for instance, [9]–[12], but these methods do not consider any time delay and external disturbance.”