Cooperative Optimal Control for Multi-Agent Systems on Directed Graph Topologies
By Kristian Hengster-Movrić, Frank L. Lewis. IEEE Transactions on Automatic Control, 2014
311 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/76cfc6bad85160728c0ce58d255b0689ffa77b7a
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
- Guanghong Yang
- Hongjing Liang
- Tao Feng
- Huaguang Zhang
- Tong Zhang
- M. Johanssn
- Mikael Johansson
- P. Arun Raj Kumar
In Computer Networks and Communications
- Zhuoran Yang
- Kaiqing Zhang
- Tamer Basar
- Guanghong Yang
- Hongjing Liang
- Tao Feng
- Han Liu
- Huaguang Zhang
Citations in the corpus
- Distributed Cooperative Optimal Control for Multiagent Systems on Directed Graphs: An Inverse Optimal Approach (2015, methodology): “In view of Proposition 4, such a local gain can be obtained by the LQR optimal design method, as in [20].”
- Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents (2018, background): “In this regard, our framework is pertinent to the cooperative/distributed optimal control problems (Lewis et al., 2013; Movric and Lewis, 2014), but focuses on the discrete-time setting and falls into the realm of reinforcement learning, where the model of the system may be unknown.”