Distributed Containment Maneuvering of Multiple Marine Vessels via Neurodynamics-Based Output Feedback

By Zhouhua Peng, Jun Wang, Dan Wang. IEEE transactions on industrial electronics (1982. Print), 2017

300 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/75e188c7d17cff29727c354a2e6aa85d8edbda73

How researchers see this paper

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

In Artificial Intelligence

1. Dan Wang
2. Zhouhua Peng
3. Jun Wang
4. Tie-shan Li
5. Cong Wang
6. Min Wang
7. Lihua Xie
8. Min Han

In Computational Theory and Mathematics

1. Zhouhua Peng
2. Tie-shan Li
3. Jun Wang
4. Dan Wang
5. Min Wang
6. Lihua Xie
7. Qing-Long Han
8. Yang Shi

In Electrical and Electronic Engineering

1. Zhouhua Peng
2. Jun Wang
3. Dan Wang
4. Lihua Xie
5. Min Han
6. Qing-Long Han
7. Qing-Long Han
8. Xiaohua Ge

Citations in the corpus

• Output-Feedback Path-Following Control of Autonomous Underwater Vehicles Based on an Extended State Observer and Projection Neural Networks (2018, background): “In [35], an echo-state-network-based observer is developed to reconstruct the unmeasured velocity information as well as system uncertainty, but the parameter convergence is not assured.”
• Output-Feedback Cooperative Formation Maneuvering of Autonomous Surface Vehicles With Connectivity Preservation and Collision Avoidance (2020, background): “Only one parameter ω i is required in the observer, and the tuning process can be much simpler than the existing neural-network-based observer [17].”
• Trajectory Tracking Control of an Autonomous Underwater Vehicle Using Lyapunov-Based Model Predictive Control (2018, background): “2779442 operators, which, on the other hand, justifies an elaborated control system [2]–[4].”
• An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles (2021, methodology): “observer schemes are proposed to estimate unmeasured states such as wave-filtering observers [60], high-gain observers [23], [32], neural-network-based observers [43],”
• Platoon Formation Control With Prescribed Performance Guarantees for USVs (2018, background): “, vehicle motions in a maritime environment [13], [14].”
• A Dynamic Event-Triggered Transmission Scheme for Distributed Set-Membership Estimation Over Wireless Sensor Networks (2019, unknown): “In many realworld applications such as multiple marine vessels formation control [20], [21], each vessel usually should not enter the collision area of neighboring vessels so as to form a specific formation.”
• Leader–Follower Formation Control of USVs With Prescribed Performance and Collision Avoidance (2019, background): “A distributed containment maneuvering controller for the USVs was proposed in [9], where each USV was subject to uncertain dynamics and unknown disturbances.”
• Distributed Maneuvering of Autonomous Surface Vehicles Based on Neurodynamic Optimization and Fuzzy Approximation (2018, background): “To deal with the unknown kinetics, considerable attention has been paid to adaptive and approximation-based techniques [26]–[34].”
• Adaptive Trajectory Tracking Control of a Fully Actuated Surface Vessel With Asymmetrically Constrained Input and Output (2018, methodology): “AN INCREASING research effort has been made toward motion control of surface vessel in the past few years [1].”