Optimal communication strategies for robotic networks
T.J. Tarn, Joseph T. Napoli
- 发表年份
- 2001
- 引用次数
- 2
摘要
This dissertation presents a method to control information flow through a communication network consisting of robots. An emphasis is put on constructing routing and limiting controllers that integrate the requirements of robotic networks with those of traditional communication networks. The routing controller determines optimal paths for information flow between source and destination nodes while the limiting controller controls the rate at which new traffic enters the network. The networks are modelled with flow models while the controllers are constructed using finite time optimal control theory as well as receding horizon controllers. These techniques are applied to both broadcast and point to point networks.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991