Title
Leader-Follower Adaptive Formation Control without Observation of Agent's Velocity Using Wavelet Neural Network
Abstract
This paper proposes an intelligent formation control method of the leader and follower agents without observing velocity of the agents using wavelet neural networks with auto-structuring mechanism. In the proposed method, each agent can follow the leader, exchanging only information of positions (without velocities) of the communicable agents including the leader, and taking a predefined formation. In real world, the method that doesn't need a lot of information to make cooperative behaviors is very useful for such cases of environments existing weak communications. In computer simulations, it is verified that the proposed method has higher performance than conventional methods and is useful in the points of the leader-following formation control without velocity and of the changeable environment.
Year
DOI
Venue
2017
10.1145/3055635.3056600
ICMLC
Field
DocType
ISBN
Wavelet neural network,Computer science,Leader follower,Control theory,Artificial intelligence,Machine learning
Conference
978-1-4503-4817-1
Citations 
PageRank 
References 
0
0.34
10
Authors
4
Name
Order
Citations
PageRank
Masanao Obayashi119826.10
Takeshi Aridome200.34
Takashi Kuremoto319627.73
Shingo Mabu449377.00