Distributed LQR Design for Identical Dynamically Decoupled Systems
By Francesco Borrelli, Tamás Keviczky. 2008
309 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Control and Systems Engineering
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Frank L. Lewis
- Z. Duan
- Zhongkui Li
- Huaguang Zhang
- Guanrong Chen
- Hongjing Liang
- Kristian Hengster-Movrić
- Guanghong Yang
In Control and Systems Engineering
- Huaguang Zhang
- Guanrong Chen
- Frank L. Lewis
- Guanghong Yang
- Z. Duan
- Zhongkui Li
- Hongjing Liang
- Tao Feng
Citations in the corpus
- Distributed Cooperative Optimal Control for Multiagent Systems on Directed Graphs: An Inverse Optimal Approach (2015, methodology): “In the case of agents with identical linear time-invariant dynamics, a suboptimal design using local linear quadratic regulator (LQR) design method was presented in [28].”
- On H ∞ and H 2 performance regions of multi-agent systems ✩ (2011, methodology): “Contrary to the distributed controllers proposed in Borrelli and Keviczky (2008), Fax and Murray (2004), Gupta et al. (2005) andMassioni and Verhaegen (2009), where state feedbacks are required in the controllers to all the agents, controller (2) needs only a subset of agents to know their own…”
- Cooperative Optimal Control for Multi-Agent Systems on Directed Graph Topologies (2014, background): “In the case of agents with identical linear time-invariant dynamics, [16] presents a suboptimal design that is distributed on the graph topology.”
- A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems (2017, background): “Great effort has been devoted to investigating this highly complex problem for special types of systems, including spatially distributed systems [147]–[151], dynamically decoupled systems [152], [153], weakly coupled systems [154], and strongly connected systems [155].”
- Distributed optimal control of multiple systems (2010, methodology): “Themethods proposed in Rotkowitz and Lall (2006) and Borrelli and Keviezky (2008) cannot solve the distributed optimal control problem in this section because the communication digraph is time-varying and there are communication delays.”