Distributed Maneuvering of Autonomous Surface Vehicles Based on Neurodynamic Optimization and Fuzzy Approximation

By Zhouhua Peng, Jun Wang, Dan Wang. IEEE Transactions on Control Systems Technology, 2018

342 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/3aa61573cc172ef6714315e76eb410db63f36b66

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

1. Zhouhua Peng
2. Dan Wang
3. Min Wang
4. Qing-Long Han
5. Shi-lu Dai
6. Jun Wang
7. Shude He
8. Tie-shan Li

In Computer Networks and Communications

1. Jun Wang
2. Zhouhua Peng
3. Dan Wang
4. Qing-Long Han
5. Shi-lu Dai
6. Shude He
7. Tie-shan Li
8. Xianming Zhang

In Control and Systems Engineering

1. Jun Wang
2. Zhouhua Peng
3. Dan Wang
4. Qing-Long Han
5. Tie-shan Li
6. Min Wang
7. Fei Luo
8. Shi-lu Dai

Citations in the corpus

• An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles (2021, methodology): “ing optimization-based command governors, an existing or legacy control law can be preserved within state and input constraints [24].”
• Leader–Follower Formation Control of USVs With Prescribed Performance and Collision Avoidance (2019, background): “The initial conditions are Θ̂i(0) = [10, 20, 1, 2] , ˆ̄ τwli(0) = 2, η1(0) = [0, 0.”
• Output-Feedback Cooperative Formation Maneuvering of Autonomous Surface Vehicles With Connectivity Preservation and Collision Avoidance (2020, background): “First, the collision avoidance among vehicles is not considered [16]–[18], [20], [21].”