论文信息 - Modeling and control of a multi-agent system using mixed integer linear programming

Modeling and control of a multi-agent system using mixed integer linear programming

The RoboFlag competition was proposed by the second author as a means to study cooperative control of multi-vehicle systems. Here we study a simplified version of the competition that we model as a hybrid system. We use an optimization approach to synthesize control policies by solving mixed integer linear programs.

R. D'Andrea | M.G. Earl | M. G. Earl | R. D’Andrea

[1] Peter Stone,et al. Layered Learning in Multiagent Systems , 1997, AAAI/IAAI.

[2] Manuela M. Veloso,et al. Multiagent learning using a variable learning rate , 2002, Artif. Intell..

[3] H. P. Williams,et al. Model Building in Mathematical Programming , 1979 .

[4] Maja J. Mataric,et al. Learning in behavior-based multi-robot systems: policies, models, and other agents , 2001, Cognitive Systems Research.

[5] Vijay Kumar,et al. A Framework and Architecture for Multirobot Coordination , 2000, International Symposium on Experimental Robotics.

[6] Raffaello D'Andrea,et al. The Cornell RoboCup Team , 2000, RoboCup.

[7] Alberto Bemporad,et al. Control of systems integrating logic, dynamics, and constraints , 1999, Autom..

[8] Vijay Kumar,et al. A Framework and Architecture for Multi-Robot Coordination , 2000, ISER.

[9] Jonathan P. How,et al. Aircraft trajectory planning with collision avoidance using mixed integer linear programming , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).