A Resource Allocation Algorithm for Multiple Tasks of RoboFlag Environment

Based on the obtained model of the complex RoboFlag testbed of Cornell University, a practical resource allocation algorithm is proposed in this paper. It includes both an initial resource allocation strategy and an on-line update law for the resource adjustment based on state feedback. Experimental results are presented to illustrate the identification of the proposed model