Output-Feedback Path-Following Control of Autonomous Underwater Vehicles Based on an Extended State Observer and Projection Neural Networks

By Zhouhua Peng, Jun Wang. IEEE Transactions on Systems, Man & Cybernetics. Systems, 2018

327 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/016a88bf9c0611dba7b434878f966d28f60f9426

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. Jun Wang
2. Zhouhua Peng
3. Dan Wang
4. Kouhei Ohnishi
5. Emre Sariyildiz
6. Roberto Oboe

In Control and Systems Engineering

1. Jun Wang
2. Zhouhua Peng
3. Dan Wang
4. Roberto Oboe
5. Kouhei Ohnishi
6. Emre Sariyildiz
7. Shaocheng Tong
8. Yong-ming Li

In Ocean Engineering

1. Jun Wang
2. Roberto Oboe
3. Kouhei Ohnishi
4. Emre Sariyildiz
5. Zhouhua Peng
6. Dan Wang

Citations in the corpus

• Distributed Maneuvering of Autonomous Surface Vehicles Based on Neurodynamic Optimization and Fuzzy Approximation (2018, background): “In recent years, many researchers have investigated the path-maneuvering problem from different perspectives [1]–[4], [8]–[12].”
• Disturbance Observer-Based Robust Control and Its Applications: 35th Anniversary Overview (2019, methodology): “these controllers in 2018 are as follows: A neural network controller was combined with an observer to control the trajectory of an underwater vehicle in [85], a model predictive controller”