System-Theoretic Principles and Decentralized Sensor Network and Control Algorithms for Dynamic Data-Driven Situational Awareness and Response
Abstract
Situational awareness and response technologies using interconnected static and mobile sensors have the capability to enhance combat power and to contribute to the success of noncombat military operations. With this one-year seed funding from April 1, 2017 to March 31,2018, this project established the fundamental basis of a novel integrated multiagent estimation and control framework for enabling correct, reliable, and communication-efficient dynamic data-driven situational awareness and response applications. Specifically, decentralized information fusion framework was developed for situational awareness in the presence of heterogeneity resulting from the sensing capabilities of nodes and nonidentical sensor types with complementary properties distributed over the network. The decentralized information fusion framework was also integrated with multiagent navigation approach. The goal of this report is to summarize the most important results over the duration of this funding.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 25, 2020
- Accession Number
- AD1110218
Entities
People
- S. Jagannathan
- Tansel Yucelen
Organizations
- Missouri University of Science and Technology