Receding-Horizon Trajectory Planning for Under-Actuated Autonomous Vehicles Based on Collaborative Neurodynamic Optimization-Reference-Cited by-同舟云学术

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Receding-Horizon Trajectory Planning for Under-Actuated Autonomous Vehicles Based on Collaborative Neurodynamic Optimization

Published:2022-11 Issue:11 Volume:9 Page:1909-1923
ISSN:2329-9266
Container-title:IEEE/CAA Journal of Automatica Sinica
language:
Short-container-title:IEEE/CAA J. Autom. Sinica

Author:

Wang Jiasen¹,Wang Jun²,Han Qing-Long³

Affiliation:

1. Future Network Research Center, Purple Mountain Laboratories,Nanjing,China,211111

2. School of Data Science, City University of Hong Kong,Department of Computer Science,Hong Kong,China

3. School of Science, Computing and Engineering Technologies, Swinburne University of Technology,Melbourne,VIC,Australia,3122

Funder

Australian Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Control and Optimization

Link

http://xplorestaging.ieee.org/ielx7/6570654/9915488/09768785.pdf?arnumber=9768785

Reference64 articles.

1. A New Navigation Function Based Decentralized Control of Multi-Vehicle Systems in Unknown Environments

2. Network Connectivity Preserving Formation Stabilization and Obstacle Avoidance via a Decentralized Controller

3. Robot navigation functions on manifolds with boundary

4. Multi-vehicle task assignment based on collaborative neurodynamic optimization with discrete Hopfield net-works;wang,2021

5. Singularity-Free Aerial Deformation by Two-Dimensional Multilinked Aerial Robot With 1-DoF Vectorable Propeller

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