Title:  Multi-Agent Grouping Strategy based on Opinion Dynamics and Information Estimation

Committee: 

Dr. F. Zhang, Advisor    

Dr. Wardi, Chair

Dr. Zhou

Abstract: The objective of the proposed research is to develop a unified strategy for multi-agent systems in a PDE field such that the agents will be able to collaboratively estimate the field value and gradient while moving in the field, and they can also be divided into different groups to conduct separate tasks using the estimated information and measurements. The estimation problem will be solved by using a constrained cooperative Kalman filter leveraging general information dynamics of the PDE model. The grouping of the agents will be driven by novel algorithms of opinion dynamics on the sphere with various convergence results.