Content
Frontiers of Information Technology & Electronic Engineering >> 2016, Volume 17, Issue 2 doi: 10.1631/FITEE.1500490
Optimization of formation for multi-agent systems based on LQR
Affiliation(s): 1School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China; 2Research School of Engineering, The Australian National University, Canberra ACT 0200, Australia; 3School of Mathematics Science, University of Electronic Science and Technology of China, Chengdu 611731, China; less
Abstract
Keywords
Linear quadratic regulator (LQR) ; Formation control ; Algebraic Riccati equation (ARE) ; Optimal control ; Multi-agent systems
Content