Distance-Based Multiagent Formation Control With Energy Constraints Using SDRE

被引:38
作者
Babazadeh, Reza [1 ]
Selmic, Rastko [1 ]
机构
[1] Concordia Univ, Dept Elect & Comp Engn, Montreal, PQ H4B 1R6, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Collision avoidance; formation control; multiagent systems; optimal control; rigidity matrix; RIGIDITY; SYSTEMS; STRATEGIES;
D O I
10.1109/TAES.2019.2910361
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
We present an optimal control method for distance-based formation control of multiagent systems with energy constraints. We combine the rigid graph theory and state-dependent Riccati equation method to develop a multiagent formation control scheme. We defined a normalized rigidity matrix and use it for the rigorous stability analysis. The proposed method asymptotically minimizes weighted cost functional that includes formation and energy consumption costs. Furthermore, we propose a solution for the global asymptotic stability and collision avoidance. Simulation results illustrate the effectiveness of the proposed method in two- and three-dimensional spaces.
引用
收藏
页码:41 / 56
页数:16
相关论文
共 55 条
[1]   Leader-Follower Synchronization of Euler-Lagrange Systems With Time-Varying Leader Trajectory and Constrained Discrete-Time Communication [J].
Abdessameud, Abdelkader ;
Tayebi, Abdelhamid ;
Polushin, Ilia G. .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 62 (05) :2539-2545
[2]   RIGIDITY OF GRAPHS .2. [J].
ASIMOW, L ;
ROTH, B .
JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 1979, 68 (01) :171-190
[3]  
Banks HT, 2007, COMPUT OPTIM APPL, V37, P177, DOI [10.1007/s10589-007-9015-2, 10.1007/S10589-007-9015-2]
[4]   FEEDBACK-CONTROL OF NONLINEAR-SYSTEMS BY EXTENDED LINEARIZATION [J].
BAUMANN, WT ;
RUGH, WJ .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1986, 31 (01) :40-46
[5]   On the ADI method for Sylvester equations [J].
Benner, Peter ;
Li, Ren-Cang ;
Truhar, Ninoslav .
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2009, 233 (04) :1035-1045
[6]  
Bhatia R, 1997, B LOND MATH SOC, V29, P1
[7]  
Chang Boon Low, 2011, 2011 9th IEEE International Conference on Control and Automation (ICCA 2011), P621, DOI 10.1109/ICCA.2011.6137876
[8]   Distributed optimal control for multi-agent systems with obstacle avoidance [J].
Chen, Yuanqing ;
Sun, Jitao .
NEUROCOMPUTING, 2016, 173 :2014-2021
[9]  
Chinelato C.I.G., 2014, TEMA (São Carlos), V15, P195, DOI 10.5540/tema.2014.015.02.0195
[10]  
Cimen T, 2008, IFAC Proceedings Volumes, DOI 10.3182/20080706-5-kr-1001.00635