Distributed Detection and Control of Unexpected/Emergent Behaviors in Multiagent Systems
Abstract
The study of dynamic behaviors of multiagent systems poses significant challenges due to the fact that complex system behaviors emerge as a result of their individual self-operating (sensing and actuating) capability, as well as of the interactions among agents. Some of those challenges include the comprehensive understanding of interaction mechanism among agents and the development of distributed resilient algorithms for detecting, designing, and controlling interaction dynamics and interaction topologies of multiagents. In this project, we studied fundamental issues from distributed estimation to distributed control of multiagent emergent behaviors. This multiple-year project leads to training of a number of graduate and undergraduate students and results in twenty-five research publications in the internationally refereed journals and conferences. Specifically, the highlights of the research outcomes include the following developments: 1) Designed a distributed estimation algorithm for the detection of certain global characteristic signals in multiagent systems, which can serve as feature indicators for the group collective behaviors. The event triggering mechanism for information transmission was further employed to reduce the communication load. 2)Designed a distributed sensor fusion algorithm for environmental monitoring by wireless sensor networks (WSNs) with limited communication.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2019
- Accession Number
- AD1065761
Entities
People
- Jing Wang
Organizations
- Bradley University